Cancer Translational Medicine

Original Research | Open Access

Vol.9 (2023) | Issue-2 | Page No: 65-76


Construction of Glioma Prognosis Model and Exploration of Related Regulatory Mechanism of Model Gene

Suxia Hu, Abdusemer Reyimu, Wubi Zhou, Xiang Wang, Ying Zheng, Xia Chen, Weiqiang Li, Jingjing Dai


1. Department of Medical Laboratory, Huainan First People's Hospital, The First Affiliated Hospital of Anhui University of Science and Technology, Huainan, Anhui, China

2 Medical College, Anhui University of Science and Technology, Huainan, Anhui, China

3. Department of Pathology, The Affiliated Huai’an No.1 People’s Hospital of Nanjing Medical University, Huai’an, Jiangsu, China

4. Department of Paediatrics, The Affiliated Huai’an No.1 People’s Hospital of Nanjing Medical University, Huai’an, Jiangsu, China

5. Department of Anesthesiology, The Affiliated Huai’an No.1 People’s Hospital of Nanjing Medical University, Huai’an, Jiangsu, China

6. Department of Medical Laboratory, The Affiliated Huai’an No.1 People’s Hospital of Nanjing Medical University, Huai’an, Jiangsu, China

Important Dates  

Date of Submission:   24-May-2023

Date of Acceptance:   21-Jun-2023

Date of Publication:   30-Jun-2023


Objective: To analyze the prognostic role of differentially expressed genes (DEGs) in glioma.

Methods: Kaplan-Meier (KM) and univariate Cox analysis were used to screen the common prognostic genes of LGG and GBM. Multivariate Cox regression analysis was included for further analysis. Prognostic risk models were constructed and the risk score of each patient was calculated.  The HPA database was used to analyze the expression of model genes. GSCAlite platform was used to analyze model genes' regulatory network and drug sensitivity. TIMER analyzed the correlation between model genes and immune infiltration.

Results: Multivariate Cox regression analysis showed that patient age, tumor grade, and patient risk score were independent risk factors for LGG prognosis. PTPRN and RGS14 were under-expressed in gliomas, and there was a synergistic effect on TSC/mTOR but inhibited RAS/MAPK, hormone AR and ER pathways in LGG. Over-expressed MTHFD2 and HOXB2 showed antagonistic effects with PTPRN and RGS14. Afatinib, gefitinib, trametinib, methotrexate, FK866 and vorinostat were more sensitive to model genes. The expression of FERMT1, HOXB2, and PTPRN was significantly correlated with the immune infiltration level of LGG.

Conclusions: The prognostic risk model, molecular mechanism, and regulation of model genes play an important role in glioma.

Keywords: Low-grade gliomas (LGG), glioblastoma (GBM), prognosis, risk score, regulation, survival


Neuroepithelial tumors are collectively referred to as gliomas, accounting for 40% - 50% of brain tumors.[1] They are the most common primary intracranial tumors. According to the classification criteria of glioma by the World Health Organization (WHO), pathology and the latest molecular biological characteristics, glioma can be divided into grades I - IV. Grade I and II are low-grade gliomas (LGG), which account for about 20% of all primary brain tumors.[2] They are well-differentiated gliomas. Although the malignant potential of LGG is low and the prognosis of patients is good after surgical treatment, LGG is still invasive and can progress to glioblastoma.[3] Grade III and IV are high-grade gliomas (HGG), which are poorly differentiated malignant tumors with poor prognosis. Grade IV glioblastoma (GBM) is the most invasive of all malignant gliomas, accounting for about 55% of malignant gliomas.[4] GBM cells are highly invasive and diffuse, so it is difficult to completely remove them. In addition, GBM is highly resistant to radiotherapy and chemotherapy. Therefore, accurate molecular targeted therapy is an important direction of future therapy.[5] The pathogenesis of glioma involves many factors and steps, including genetic and epigenetic changes.[6] Gene abnormalities are accompanied by changes in expression patterns, which is of great significance in the early diagnosis, treatment monitoring, and prognosis evaluation of glioma.

At present, some gene expressions are used as markers for the diagnosis and prognosis of glioma. For example, isocitrate dehydrogenase (IDH) mutations are important markers of low-grade glioma (LGG) and glioblastoma (GBM).[7] It has significant prognostic value: Patients with IDH gene mutation have a better prognosis, and have a longer progression-free survival and overall survival. The prognosis of IDH wild-type patients is poor, and the progression-free survival and overall survival are relatively short. IDH mutation status can assist in the diagnosis of glioma.[8] Phosphatase and Tensin Homolog (PTEN) is an important tumor suppressor gene and an evaluation index of tumor prognosis. About 86% of GBM patients will have changes in RTK/PI3K pathway caused by PTEN gene deletion or mutation.[9] However, we still know little about the exact mechanism of the occurrence and development of glioma, so the important molecular markers related to the occurrence and development of glioma still need to be further explored, so as to improve the accuracy of early diagnosis of glioma and the prediction efficiency of prognosis.

With the continuous maturity of high-throughput technologies such as gene chips and RNA sequencing, much data related to gene expression can be presented.[10] Computer technology combined with bioinformatics has been widely used in tumor research. Its effectiveness and reliability in finding new markers for tumor diagnosis and targeted therapy have been proven.[11] However, it has been a difficult problem in clinical applications to analyze the prediction efficiency of key genes to improve the accuracy of tumor prognostic effects. Therefore, based on The Cancer Genome Atlas (TCGA), five common differentially expressed genes (DEGs) related to prognosis were screened in common glioma types (LGG and GBM). The Cox regression prognostic risk model was constructed. The receiver operating characteristic (ROC) curve and Kaplan-Meier (KM) curve were used to evaluate the prediction accuracy and reliability of the multivariate Cox risk model. Subsequently, regulatory pathways, drug sensitivity, and the correlation with immune infiltration involved in the five prognostic genes were explored, so as to provide an important theoretical basis for explaining their pathogenesis and therapeutic targets.


Data collection

The transcription sequencing data of 529 LGG patients, 169 GBM patients, and 5 normal control groups were obtained from the TCGA database (, and the clinical data of patients were downloaded, including overall survival time, survival status, age, gender, and tumor grade. Downloaded the human gene annotation file from the Ensembl database ( and converted the probe to the corresponding gene name.

Extraction and screening of DEGs in tumor and normal brain tissues

The expression intensity of gene expression profile data of two tumors (LGG and GBM) and normal brain tissues were normalized by R language. The DEGs between tumor tissue and normal brain tissue were screened by the R language “limma” package. Screening conditions were set as difference multiple > 4 times and P < 0.05 (log fold change> 2 & Adjusted P < 0.05).

Identification of prognostic genes

The standardized expression of DEGs was combined with the survival information of tumor samples. After excluding patients with no survival time records, a total of 508 LGG samples and 158 GBM samples were included in the survival analysis. KM and univariate survival analysis was performed on the expression of DEGs in two kinds of glioma (LGG and GBM) by using the "survival" package of the R language. The gene expression with a P value less than 0.01 was selected for further construction of the model. Five overlapping prognostic genes in LGG and GBM were screened by Venn map for constructing a prognostic model.

Establishment and validation of the prognostic model

Multivariate Cox analysis was performed on the five selected prognostic genes. The prediction model was established with survival status and survival time as dependent variables and gene expression as independent variables. The risk regression model was established by using the expression of five genes and their coefficients. Subsequently, the risk score of all patients was calculated using this prognostic model. considering the median risk score as the dividing point, the patients with a risk score greater than the median risk score is the high-risk group, and the remaining belong to the low-risk group. KM analysis was used to compare the difference in the survival rate between the high-risk and the low-risk group. The feasibility and accuracy of the model are verified by the ROC curve. Then, univariate and multivariate Cox regression analyses were carried out that were correlated with clinical factors to comprehensively evaluate the prediction efficiency of the risk scoring system.

Expression, regulatory network, and drug sensitivity of prognostic genes

The expression of five prognostic genes in gliomas and normal cerebellar tissues was mined from the human protein atlas database ( GSCALite is a gene set cancer analysis platform that includes and integrates cancer genomics data of 33 cancer types from TCGA, drug response data from GDSC and CTRP, and normal tissue data from GTEX.[12] We explored the possible regulatory mechanisms and regulatory networks of five prognostic genes in tumors from the GSCALite platform. Finally, drug targets for five prognostic genes were analyzed, and the structure was visualized by the DrugBank database.

Correlation between prognostic genes and immune infiltration

The TIMER database evaluates the infiltration of different immune cells and their clinical impact according to its unique algorithm and module system.[13] Five prognostic genes screened were input through the "gene module" to generate a scatter diagram to observe the relationship between their expression and the level of immune infiltration in gliomas (LGG and GBM).


Construction of glioma risk model based on prognosis-related DEGs

The mRNA expression matrix was extracted from the LGG and GBM gene transcription data downloaded from the TCGA database. Compared with normal tissues, 1,336 DEGs were screened in LGG tissues [Figure 1A] and 3,184 DEGs were screened in GBM tissues [Figure 1B]. Subsequently, we performed KM and univariate Cox survival analysis on DEGs. KM analysis showed that there were 444 DEGs and 50 DEGs related to the prognosis of LGG and GBM, respectively. Univariate Cox analysis showed that there were 559 DEGs and 110 DEGs related to the prognosis of LGG and GBM, respectively. Among them, five DEGs are common prognostic genes of LGG and GBM [Figure 1C], namely MTHFD2, FERMT1, PTPRN, HOXB2, and RGS14. Multivariate Cox regression analysis was performed on LGG and GBM based on five prognostic genes [Figure 1D, 1E].

Figure 1.
Figure 1. Screening of prognostic related DEGs in gliomas and construction of risk model. (A) Differentially expressed mRNA screened from LGG. (B) Differentially expressed mRNA screened from GBM. Red dots represent up-regulated genes and green dots represent down-regulated genes. (C) KM and univariate Cox methods were used to analyze the differentially expressed genes of LGG and GBM respectively, and the overlapping genes were displayed by Venn diagram. (D) Multivariate analysis of five prognostic genes in LGG. (E) Multivariate analysis of five prognostic genes in GBM.

Evaluation of prognostic risk model

Prognostic risk models of LGG and GBM were constructed based on five prognostic genes, and the risk score of each patient was calculated. Risk score=   gene expression i×Model coefficient i. The patients were divided into a low-risk group and a high-risk group based on the median risk value [Figure 2A, 2F]. It was found that in LGG, MTHFD2, FERMT1, and PTPRN genes decreased with the increase in the risk score, while HOXB2 and RGS14 genes were opposite [Figure 2B]. In GBM, PTPRN, HOXB2, and RGS14 genes increased with the increase in the risk score, while MTHFD2 and FERMT1 genes were opposite [Figure 2G]. In both LGG and GBM, patient survival decreased with the increase in the risk score [Figure 2C, 2H]. Then, KM survival analysis was performed and survival curves were drawn. The results showed that the survival rate of patients in the high-risk group of LGG and GBM was significantly lower than that in the low-risk group [Figure 2D, 2I]. At the same time, the prognostic risk model of LGG and GBM’s overall survival ROC curve was drawn. The AUC values of 1 year, 3 years, and 5 years in LGG were 0.844, 0.797, and 0.687, respectively [Figure 2E]. The AUC values of 1, 3, and 5 years of GBM are 0.75, 0.773, and 0.923, respectively [Figure 2J]. It shows that the prognostic risk model of LGG and GBM has good efficiency.

Figure 2.
Figure 2. Prognostic gene risk score model and its predictive effect evaluation. (A-E) The risk scoring model and performance evaluation results of five prognostic genes in LGG. (F-J) The risk scoring model and performance evaluation results of five prognostic genes in GBM.

Evaluation of risk model as an independent predictor

In order to evaluate whether the model can be independent of the clinical characteristics of patients, that is, it is not affected by the clinical characteristics, we performed univariate Cox analysis on the five gene individuals and comprehensive risk score, age, gender, and glioma grade in LGG and GBM. Univariate analysis showed that, except for gender, five gene individuals and comprehensive risk score and other clinical features were associated with the prognosis of LGG and GBM (P < 0.05) [Figure 3A, 3B]. Then, in order to explore whether there is an interaction between risk score and various clinical features and its impact on prognosis, we made a multivariate Cox regression analysis on five gene individuals, comprehensive risk score, and clinical features. In LGG, age, gender, glioma grade, five gene individuals, and comprehensive risk score were all associated with prognosis [Figure 3C-3H]. In GBM, an individual and comprehensive risk score of five genes was associated with prognosis [Figure 3I-3N]. The above results prove and emphasize the effectiveness and importance of the model constructed in this experiment.

Figure 3.
Figure 3. Five gene models were evaluated as independent predictors. Prognostic analysis of individual and comprehensive risk scores involving patient characteristics. (A-B) Univariate Cox analysis of prognostic factors of LGG and GBM. (C-H) Multivariate analysis of prognostic factors in LGG. (I-N) Multivariate analysis of prognostic factors in GBM.

Prognostic gene expression, regulatory network, and drug sensitivity analysis

The validation of prognostic genes in the human protein atlas database showed that MTHFD2 and FERMT1 were up-regulated in gliomas, while PTPRN and RGS14 were up-regulated in normal cerebellar tissues. However, the immunohistochemical test shows that there was no significant difference in the expression of PTPRN between glioma and normal cerebellar tissues, and HOXB2 was not detected in the database [Figure 4]. The possible regulatory mechanisms of five prognostic genes in 32 cancer types were explored on the GSCAlite platform. The results showed that MTHFD2 promoted apoptosis and cell cycle in most tumors. PTPRN promotes the EMT pathway and inhibits DNA damage response, hormone AR and hormone ER pathway in most tumors. HOXB2 promotes the EMT pathway in some tumors [Figure 5A]. However, in LGG, MTHFD2 can promote apoptosis, while PTPRN and RGS14 can inhibit this pathway. PTPRN and RGS14 can promote TSC/mTOR pathway, but inhibit Ras/MAPK, hormone AR and hormone ER pathway. MTHFD2 and HOXB2 can inhibit TSC/mTOR pathway and promote Ras/MAPK, hormone AR and hormone ER pathway [Figure 5B]. The results showed that MTHFD2 and HOXB2 may have antagonistic effects with PTPRN and RGS14. In GBM, there was no regulatory relationship between MTHFD2, FERMT1, PTPRN, HOXB2, RGS14 and pathway activity. In the regulatory analysis of miRNA prognostic genes, we predicted that 31 miRNAs had regulatory relationships with 5 prognostic genes [Figure 6]. Both hsa-mir-513a-3p and hsa-mir-660-5p can regulate MTHFD2 and FERMT1 genes. Hsa-mir-186-5p can regulate FERMT1 and HOXB2 at the same time. The results of drug sensitivity showed that afatinib, gefitinib, and trametinib had a good inhibitory effect on FERMT1. Methotrexate inhibited MTHFD2 and RGS14, while high expression of HOXB2 was resistant to the drug. FK866 and vorinostat also had a good inhibitory effect on MTHFD2 [Figure 7A]. Finally, the drug structure was visualized [Figure 7B].

Figure 4
Figure 4. Immunohistochemistry confirmed the expression of five prognostic genes in glioma and normal tissues. The brown area indicates positive expression.

Figure 5.
Figure 5. Pathway prediction analysis of five prognostic genes. (A) Global percentage of cancers in which genes affect pathways among 32 cancer types (number of cancer types activated or inhibited / 32 * 100%). (B) Possible pathways of five prognostic genes in LGG.

Figure 6
Figure 6. Potential miRNA regulatory network of prognostic genes. Yellow nodes represent genes and blue nodes represent miRNAs. The margin represents the regulation of genes by miRNA. The node size is positively correlated with the networking degree of the node, and the edge width is defined by the absolute value of the correlation coefficient.

Figure 7.
Figure 7. Drug resistance analysis of prognostic genes. In GDSC drug data, Spearman coefficient represents the correlation between gene expression and drugs. (A) Sensitive drug analysis of 5 prognostic genes. (B) Structural view of gene sensitive drugs.

Relationship between prognostic genes and immune infiltration in gliomas

The expression of FERMT1 was negatively correlated with the level of immune infiltration in LGG, but not significantly correlated with the level of immune infiltration in GBM. The expression of HOXB2 was positively correlated with the level of immune infiltration in LGG, but not significantly correlated with the level of immune infiltration in GBM. The expression of PTPRN was significantly correlated with the level of immune infiltration in glioma, which was negatively correlated with the level of immune infiltration in LGG, but positively correlated with the level of immune infiltration in GBM [Figure 8].

Figure 8
Figure 8. Systematic association analysis between five prognostic genes and immune infiltration level. Partial.cor represents the correlation between gene expression and immune infiltration level. P < 0.05, with statistical significance.


The most prevalent intracranial malignant tumor is glioma, which is often treated surgically. However, chemotherapy is frequently prescribed to treat nearly all newly diagnosed diffuse gliomas.[14] LGG and GBM are common types of gliomas in clinics, and the incidence rate is increasing year by year. A family history of brain tumors and the history of ionizing radiation exposure are clear risk factors for brain tumors, which can lead to genetic variation related to brain tumor susceptibility.[15] However, heterogeneity between cells in tumors leads to differences in gene expression, accompanied by differences in pathways related to cell function. In addition, synergistic or compensatory effect between tumor mechanisms caused by cancer-promoting factors also greatly limits the early diagnosis and treatment of tumors in clinical.[16] At present, the effect of markers used to diagnose and evaluate the prognosis of patients is not ideal. Detection indexes such as IDH-1, ATRX and P53 used in clinics also need a comprehensive evaluation to provide a reference for glioma diagnosis, but these indexes have poor prediction effects on prognosis.

In recent years, with the development of high-throughput bioinformatics technologies such as gene chips, gene microarray, and whole genome sequencing, the key genes in the occurrence and progression of diseases can be accurately excavated, which brings a new dawn for exploring the molecular pathogenesis of diseases, improving clinical diagnosis and gene targeted therapy.[17] In this study, DEGs were screened by analyzing LGG and GBM genomic data. Five common prognostic genes (MTHFD2, FERMT1, PTPRN, HOXB2, and RGS14) of LGG and GBM were screened by KM and univariate Cox regression analysis. They were included in multivariate Cox regression analysis, and prognostic risk models of LGG and GBM were constructed.

Methyl benzoate dehydrogenase (MTHFD2) belongs to the tetrahydrofolate dehydrogenase/ cyclohydrolase family, which mainly exists in mitochondria and participates in a single carbon metabolism pathway. Some studies have found that the expression of MTHFD2 is up-regulated in gliomas, and the high expression of MTHFD2 is conducive to the prognosis of LGG patients.[18] Consistent with this study, MTHFD2 is up-regulated in both LGG and GBM and can activate autophagy pathway in LGG. The good prognosis of patients with high MTHFD2 expression may be related to the over-activation of the autophagy pathway. MTHFD2 is a low-risk gene in the risk model, which can be used as a marker to predict the prognosis of patients. RGS14 promotes a rise in G-protein α, and the GTPase activity of the subunit inhibits signal transduction so that it enters the inactive GDP binding form. Similar studies showed that the expression of RGS14 was downregulated in GBM, and the prognosis of patients with high expression was poor. The same is true in LGG, and with the increase of RGS14 expression, the patient risk increases.[19] Fermitin family member 1 (FERMT1) belongs to the Kindlin family, which is overexpressed in colon cancer and activated by β-Catenin promotes epithelial-mesenchymal transition (EMT) and is associated with a low survival rate.[20] As in this study, FERMT1 was highly expressed in LGG and GBM. However, FERMT1 is a protective factor in the LGG and GBM, which can inhibit EMT and cell cycle pathways. Patients with high expression of FERMT1 have a better prognosis. FERMT1 may play an inhibitory role in glioma. Protein tyrosine phosphatase, receptor type N (PTPRN) plays a role in vesicle-mediated secretion. Some studies have found that the expression of PTPRN is downregulated in GBM, and the patients with high expression of PTPRN have poor prognosis,[21] which is consistent with our results. However, although PTPRN is also low expressed in LGG, patients with high expression have a better prognosis and are low-risk genes. The receptor tyrosine kinase (RTK) pathway plays a key role in LGG diffusion.[22] Inhibition of PI3K/Akt/mTOR makes LGG patients live longer,[23] PTPRN can inhibit the above pathway. In addition, the down-regulation of PTPRN expression in LGG increased the level of immune infiltration, while the level of immune infiltration in GBM decreased. Therefore, due to the different regulatory mechanisms of PTPRN on pathways and immune infiltration in LGG and GBM, its role in different tumors may be different. HOXB2 is a part of the developmental regulatory system, which provides cells with specific positional identities on the anterior and posterior axes. It belongs to the ANTP homeobox family. HOXB2 is related to cell invasion and promotes the proliferation of glioma cells.[24] In lung cancer and pancreatic cancer, upregulation of HOXB2 promotes tumor migration.[25] Activation of the RACK1/CNTN2/RTK/RAS/MAPK axis can promote the proliferation and inhibit the differentiation of glioma cells.[26] In this study, HOXB2 is highly expressed in LGG and GBM, which is a high-risk factor related to poor prognosis. It is also related to the activation of Ras/MAPK in LGG and can be used as an independent prognostic marker.

Although prognostic genes perform well in predicting prognosis alone, their comprehensive predictive ability is better. Therefore, we screened five common prognostic genes of LGG and GBM through survival analysis, incorporated them into multivariate Cox regression analysis, and constructed the prognostic risk models of LGG and GBM respectively. The patients were divided into a low-risk group and a high-risk group. The survival rate of patients in the high-risk group was significantly lower than that in the low-risk group, and the difference was statistically significant. AUC at 1, 3, and 5 years proved that the prognostic risk models of LGG and GBM were effective. At the same time, combined with the patient's clinicopathological information and risk value, a multivariate Cox regression analysis was carried out. It was found that the patient's age, tumor grade, and patient risk score were independent risk factors of LGG, while the patient risk score was the independent risk factor of GBM. This study proved that the risk score has an independent prognostic value and can be used as an independent prognostic predictor of glioma patients.

The change in the gene expression pattern of the tumor is accompanied by the change in drug effect and the degree of clinical drug resistance.[27] Our study found that the high expression of FERMT1 made it more sensitive to afatinib, gefitinib, and trametinib. Afatinib,[28] gefitinib,[29] and trametinib[30] have been reported to inhibit glioma. It is speculated that the high expression of FERMT1 may play a role in drug sensitivity. Methotrexate has anticancer activity in glioma.[31] Although HOXB2 is highly expressed and resistant to methotrexate, MTHFD2 and RGS14 are sensitive to this drug, and the mechanism of action needs to be further explored. FK866 also showed antitumor activity against glioma[32] and was most sensitive to the expression of MTHFD2. Sensitive drugs of key genes to provide more choices for the clinical treatment of gliomas needs to be further explored.


In conclusion, this study analyzed DEGs in LGG and GBM based on TCGA database, screened 5 genes, established prognostic risk model, and verified its good specificity and sensitivity. Subsequently, it was proved that the prognostic risk models of LGG and GBM were independent prognostic factors and could be used as biomarkers for prognostic evaluation. The five genes in the prognostic risk model also provide new therapeutic targets for exploring glioma. However, this study is only verified based on the database and lacks the support of clinical big data. The specific mechanism in tumor is still unclear and needs further research.



We would like to thank the team members for their contributions to this paper, and then we will continue to work hard to do relevant research.



This work was supported by the grants from Plan Project of Huainan Science and Technology in 2020 (No.2020069, to Suxia Hu) and General Project of Development Fund for Affiliated Hospital of Xuzhou Medical University in 2022 (No.XYFM202234, to Xiang Wang).



The authors declare that they have no competing interests.



All research experiments involving patient data were approved by the Ethics Committee (approval number: KY-2022-014-01).



Jingjing Dai, Suxia Hu, Wubi Zhou and Xia Chen participated in the study design. Abdusemer Reyimu, Ying Zheng, Xiang Wang, Weiqiang Li, Wubi Zhou and Xia Chen statistically analyzed the data. The manuscript was drafted by Suxia Hu, Weiqiang Li and Xia Chen, and revised by Jingjing Dai and Weiqiang Li. The authors read and approved the final manuscript.




Liang R, Tang Y. LINC00467 knockdown repressed cell proliferation but stimulated cell apoptosis in glioblastoma via miR-339-3p/IP6K2 axis. Cancer Biomark 2020; 28(2): 169-80.


Gatto L, Franceschi E, Tosoni A, Di Nunno V, Maggio I, Lodi R, Brandes AA. IDH Inhibitors and Beyond: The Cornerstone of Targeted Glioma Treatment. Mol Diagn Ther 2021; 25(4): 457-73


Mellinghoff IK, Ellingson BM, Touat M, Maher E, De La Fuente MI, Holdhoff M, Cote GM, Burris H, Janku F, Young RJ, Huang R, Jiang L, Choe S, Fan B, Yen K, Lu M, Bowden C, Steelman L, Pandya SS, Cloughesy TF, Wen PY. Ivosidenib in Isocitrate Dehydrogenase 1-Mutated Advanced Glioma. J Clin Oncol 2020; 38(29): 3398-406.


Mair MJ, Geurts M, van den Bent MJ, Berghoff AS. A basic review on systemic treatment options in WHO grade II-III gliomas. Cancer Treat Rev 2021; 92: 102124.


Alexander BM, Cloughesy TF. Adult Glioblastoma. J Clin Oncol 2017; 35(21): 2402-9.


Kohno D, Inoue A, Fukushima M, Aki T, Matsumoto S, Suehiro S, Nishikawa M, Ozaki S, Shigekawa S, Watanabe H, Kitazawa R, Kunieda T. Epithelioid glioblastoma presenting as multicentric glioma: A case report and review of the literature. Surg Neurol Int 2020; 11: 8.


Berghoff AS, Kiesel B, Widhalm G, Wilhelm D, Rajky O, Kurscheid S, Kresl P, Wöhrer A, Marosi C, Hegi ME, Preusser M. Correlation of immune phenotype with IDH mutation in diffuse glioma. Neuro Oncol 2017; 19(11): 1460-8.


Zhang L, Liu Y, Wang M, Wu Z, Li N, Zhang J, Yang C. EZH2-, CHD4-, and IDH-linked epigenetic perturbation and its association with survival in glioma patients. J Mol Cell Biol 2017; 9(6): 477-88.


Abou-El-Ardat K, Seifert M, Becker K, Eisenreich S, Lehmann M, Hackmann K, Rump A, Meijer G, Carvalho B, Temme A, Schackert G, Schröck E, Krex D, Klink B. Comprehensive molecular characterization of multifocal glioblastoma proves its monoclonal origin and reveals novel insights into clonal evolution and heterogeneity of glioblastomas. Neuro Oncol 2017; 19(4): 546-57.


Reyimu A, Chen Y, Song X, Zhou W, Dai J, Jiang F. Identification of latent biomarkers in connection with progression and prognosis in oral cancer by comprehensive bioinformatics analysis. World J Surg Oncol 2021; 19(1): 240.


Xiao K, Liu Q, Peng G, Su J, Qin CY, Wang XY. Identification and validation of a three-gene signature as a candidate prognostic biomarker for lower grade glioma. PeerJ 2020; 8: e8312.


Liu CJ, Hu FF, Xia MX, Han L, Zhang Q, Guo AY. GSCALite: a web server for gene set cancer analysis. Bioinformatics 2018; 34(21): 3771-2.


Li T, Fan J, Wang B, Traugh N, Chen Q, Liu JS, Li B, Liu XS. TIMER: A Web Server for Comprehensive Analysis of Tumor-Infiltrating Immune Cells. Cancer Res 2017; 77(21): e108-e110.


Poff A, Koutnik AP, Egan KM, Sahebjam S, D'Agostino D, Kumar NB. Targeting the Warburg effect for cancer treatment: Ketogenic diets for management of glioma. Semin Cancer Biol 2019; 56: 135-48.


Ostrom QT, Adel FM, Cote DJ, Muskens IS, Schraw JM, Scheurer ME, Bondy ML. Risk factors for childhood and adult primary brain tumors. Neuro Oncol 2019; 21(11): 1357-75.


Fujiki H, Sueoka E, Watanabe T, Suganuma M. Synergistic enhancement of anticancer effects on numerous human cancer cell lines treated with the combination of EGCG, other green tea catechins, and anticancer compounds. J Cancer Res Clin Oncol 2015; 141(9): 1511-22.


Alanni R, Hou J, Azzawi H, Xiang Y. A novel gene selection algorithm for cancer classification using microarray datasets. BMC Med Genomics 2019; 12(1): 10.


Shi LF, Zhang Q, Shou XY, Niu HJ. Expression and Prognostic Value Identification of Methylenetetrahydrofolate Dehydrogenase 2 (MTHFD2) in Brain Low-Grade Glioma. Int J Gen Med 2021; 14: 4517-27.


Yin W, Tang G, Zhou Q, Cao Y, Li H, Fu X, Wu Z, Jiang X. Expression Profile Analysis Identifies a Novel Five-Gene Signature to Improve Prognosis Prediction of Glioblastoma. Front Genet 2019; 10: 419.


Liu CC, Cai DL, Sun F, Wu ZH, Yue B, Zhao SL, Wu XS, Zhang M, Zhu XW, Peng ZH, Yan DW. FERMT1 mediates epithelial-mesenchymal transition to promote colon cancer metastasis via modulation of beta-catenin transcriptional activity. Oncogene 2017; 36(13): 1779-92.


Xu P, Yang J, Liu J, Yang X, Liao J, Yuan F, Xu Y, Liu B, Chen Q. Identification of glioblastoma gene prognosis modules based on weighted gene co-expression network analysis. BMC Med Genomics 2018; 11(1): 96.


Masui K, Cavenee WK, Mischel PS. Cancer metabolism as a central driving force of glioma pathogenesis. Brain Tumor Pathol 2016; 33(3): 161-8.


Gao Y, Li L, Zheng H, Zhou C, Chen X, Hao B, Cao Y. KIF3C is associated with favorable prognosis in glioma patients and may be regulated by PI3K/AKT/mTOR pathway. J Neurooncol 2020; 146(3): 513-21.


Pan X, Liu W, Chai Y, Wang J, Zhang Y. Genetic and Clinical Characterization of HOXB2 in Glioma. Onco Targets Ther 2020; 13: 10465-73.


Segara D, Biankin AV, Kench JG, Langusch CC, Dawson AC, Skalicky DA, Gotley DC, Coleman MJ, Sutherland RL, Henshall SM. Expression of HOXB2, a retinoic acid signaling target in pancreatic cancer and pancreatic intraepithelial neoplasia. Clin Cancer Res 2005; 11(9): 3587-96.


Yan Y, Jiang Y. RACK1 affects glioma cell growth and differentiation through the CNTN2-mediated RTK/Ras/MAPK pathway. Int J Mol Med 2016; 37(1): 251-7.


Shen DW, Pouliot LM, Hall MD, Gottesman MM. Cisplatin resistance: a cellular self-defense mechanism resulting from multiple epigenetic and genetic changes. Pharmacol Rev 2012; 64(3): 706-21.


Vengoji R, Macha MA, Nimmakayala RK, Rachagani S, Siddiqui JA, Mallya K, Gorantla S, Jain M, Ponnusamy MP, Batra SK, Shonka N. Afatinib and Temozolomide combination inhibits tumorigenesis by targeting EGFRvIII-cMet signaling in glioblastoma cells. J Exp Clin Cancer Res 2019; 38(1): 266.


Ye C, Pan B, Xu H, Zhao Z, Shen J, Lu J, Yu R, Liu H. Co-delivery of GOLPH3 siRNA and gefitinib by cationic lipid-PLGA nanoparticles improves EGFR-targeted therapy for glioma. J Mol Med (Berl) 2019; 97(11): 1575-88.


Rainov NG, Soling A. Clinical studies with targeted toxins in malignant glioma. Rev Recent Clin Trials 2006; 1(2): 119-31.


Garbayo E, Pascual-Gil S, Rodriguez-Nogales C, Saludas L, Estella-Hermoso DMA, Blanco-Prieto MJ. Nanomedicine and drug delivery systems in cancer and regenerative medicine. Wiley Interdiscip Rev Nanomed Nanobiotechnol 2020; 12(5): e1637.


Feng J, Yan PF, Zhao HY, Zhang FC, Zhao WH, Feng M. Inhibitor of Nicotinamide Phosphoribosyltransferase Sensitizes Glioblastoma Cells to Temozolomide via Activating ROS/JNK Signaling Pathway. Biomed Res Int 2016; 2016: 1450843.


This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution‑NonCommercial‑ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non‑commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.

For reprints contact:


All claims made in this article are exclusively those of the writers, and do not necessarily reflect the views of their connected organizations, the publisher, editors, or reviewers. The publication does not guarantee or promote any product that may be evaluated in this article or any claim made by its producer.

Related Articles

TRAF Proteins In NSCLC: Analysis Of Data From The Public Database And Literature Review

Xuebing Li1, Yaguang Fan1, Hongli Pan1, Yang Li1, Limin Cao1, Zhenhua Pan1, Lingling Zu1, Fanrong Meng2, Mengjie Li3, Qinghua Zhou1, Xuexia Zhou4*


Research Progress of Cytokines and Their Receptors in Ovarian Cancer

Yuanwen Zhang1, Zhouman He1, Shiyun Liang1, Jian Yuan1, Huihui Ti1 *



Contribution Of Human Endogenous Retroviruses To Metastasis Of Solid Tumors

Nianbin Li1, Jing Wang2, Yaguang Fan2, Min Wang2, Chen Chen2, Ting Wang1*, Heng Wu2*



Role of PD-1/PD-L1 Inhibitors in the Treatment of Metastatic Lung Cancer

Yufei Chen1, Mei Zhong2, Zhenhua Pan2, Jun Chen2, Hongli Chen2, Fengjie Guo2, 3,*



Cytochrome P450 2C19 Polymorphisms are Associated with a High Risk of Esophageal Squamous Cell Carcinoma in Asian Populations: A Systematic Review and Meta-Analysis

Xuehan Gao1, Zhihong Qian2, Guige Wang1, Lei Liu1, Jiaqi Zhang1, Ke Zhao1, Mengxin Zhou1, Shanqing Li1*

Limb Arterial Embolism secondary to Myocardial Primary Light Chain Amyloidosis – A Case Report

Lei Ji1, Zhili Liu1, Yuehong Zheng1*

In situ Laser Fenestration to Reconstruct Three Supra Arch Branches for Recurrent Aortic Dissection after Replacement of the Ascending Aorta and Implantation of Stent Graft in the Descending Aorta: A Case Report

Li Yuan Niu1, Hai Xin1, Hao Fu Wang1*, Yue Wei Wang1*

Research progress in traditional Chinese medicine for the treatment of androgenic alopecia

Weiwei LI1, Chenghao Zhu2, Dandan Yang3, Yanhua YI1, Shuncai Liu1, Zhenyu Gong1*

Isolated Abdominal Wall Metastasis without Definitive Primary Lesion after Laparoscopic Cholecystectomy: A Case Report

La Zhang1, Ning Jiang2, Rui Liao1, Baoyong Zhou1*, Dewei Li3*

Analysis of Immune-Related Genes in the Tumor Microenvironment of Bladder Cancer based on TCGA database

Haiyang Jiang1#, Longguo Dai1#, Huijian Wang1#, Chongjian Zhang1, Yu Bai1, Ruiqian Li1, Jun Li1, Chen Hu1, Hongyi Wu1, Hong Yang1, Qilin Wang1, Pingting Chen2*

Diagnostic Biomarkers in Cerebrospinal Fluid in Primary Central Nervous System Lymphoma: A Protocol for Systematic Review and Meta-analysis

Lili Zhou1,2, Hai Yi1*, Dan Chen1, Qian Zhang1, Fangyi Fan1, Ling Qiu1, Nan Zhang1, Yi Su1

Updates on Molecular Markers for Gliomas

Jingyao Jie1, Weijuan Zhang2*

Peroxisome Proliferator-Activated Receptor-γ Agonists as New Targets of Lung Cancer Therapy

Shixiong Wei1*

Microcirculation Specialist Consensus on Diagnosis and Treatment of Superficial Varicose Veins of Lower Limbs

Wang Lei1, Zheng Yuehong1*

Anticoagulation might not be necessary for asymptomatic central venous catheter-related thrombosis in adults

Wei Zhang1, Zhi Xiang1, Qin Ma2, Chuanlin Zhang3, Yu Zhao1, Qining Fu1*

The Roles of microRNA in the Diagnosis and Prognosis of Papillary Thyroid Cancer

Jingya Gao1*, Li Liu2*

Lung Cancer Tumor Microenvironment: An Update on Recent Advances in Research

Guangda Yuan1, Bowen Hu1, Yong Yang1*

Quantified ADC Values and Attenuation Trends for Diagnosing Prostate Cancer with Multiple b Values MRI

Jing Hu1#, Jingying Bu1#,Zhe Wang2#, Zhengdan Su2, Xiaoxian Wang2, Haiyao Pi3, Diliang Li2, Zhaoyang Pu4, Xin Tian1*

Differential Expression of T-box Transcription Factor TBX19 Regulates the Progression of Hepatocellular Carcinoma

Guifang He1, Yanjiao Hu2, Fuguo Dong3, Changchang Liu1, Duo Cai1, Shihai Liu1*

Advances in Pathogenesis and Non-surgical Therapy of Cutaneous Basal Cell Carcinoma

Yichen Wu1, Jia Chen2*

Quercetin Inhibits the Proliferation and Migration of Pancreatic Adenocarcinoma by Targeting the Prognostic-related Gene MMP1 via Bioinformatics and Network Pharmacology

Zhenhua Zu1,2#, Zhongguo Zhu3#, Zhiyu Xia2, Hongrang Chen1*, Yongsheng Li1*

Huge Lung Fibroleiomyomatous Hamartoma in the Pleural Cavity – A Case report

Minghui Liu1#, Xin Li1#, Hongbing Zhang1, Fan Ren1, Ming Dong1, Chunqiu Xia1, Jun Chen1,2*

Increased Expression of IL-17A, IL-6, STAT3, TGF-β, and VEGF: Potential Biomarkers in Bladder Cancer?

Zishen Xiao1, Chengxia Bai1, Teng Zhao1, Jiayu Lin1, Lijuan Yang1, Jian Liu2, Zhenjiang Wang1, Ying Sun3,4, Yanbo Liu1*

Identification of NSD2 as a Potential Diagnostic and Prognostic Biomarker for Hepatocellular Carcinoma

Wei Zhao1#, Xinyu Xiao1#, Yu Gao1,2, Shanshan Liu3, Xiuzhen Zhang1, Changhong Yang1, Qiling Peng1, Ning Jiang2*, Jianwei Wang1*

Quercetin Inhibits Glioma Proliferation by Targeting CDK1 and CCNB1 - Bioinformatics and Network Pharmacology

Huaixu Li1#, Peng Gao1#, Haotian Tian1, Zhenyu Han2, Xingliang Dai1*, Hongwei Cheng1*

Selective Internal Radiation Therapy with Yttrium-90 Microspheres in Hepatocellular Carcinoma – Applications and recent advances

Wei Wang1, Dawei Xie1, Bing Li1, Minghao Chen1*

Irreversible Electroporation in Pancreatic Cancer – Applications and recent advances

Yuanyuan Sun1, Qian Li2, Jia Hu2, Yanfang Liu2*, Xiaosong Li2*

Prognostic Value of Bismuth Typing and Modified T‑stage in Hilar Cholangiocarcinoma

Shengen Yi, Xiongjian Cui, Li Xiong, Xiaofeng Deng, Dongni Pei, Yu Wen, Xiongying Miao

MicroRNAs are Related to Rituximab in Combination with Cyclophosphamide, Doxorubicin, Vincristine, and Prednisone Resistance in Patients with Diffuse Large B-cell Lymphoma

Haibo Huang1, Junjiao Gu1, Shuna Yao1, Zhihua Yao1, Yan Zhao1, Qingxin Xia2, Jie Ma2, Ling Mai3, Shujun Yang1, Yanyan Liu1

Comparison of Intra-voxel Incoherent Motion Diffusion Magnetic Resonance Imaging and Apparent Diffusion Coefficient in the Evaluation of Focal Malignant Liver Masses

Jinrong Qu1, Xiang Li1, Lei Qin2, Lifeng Wang1, Junpeng Luo1, Jianwei Zhang1, Hongkai Zhang1, Jing Li1, Fei Sun3, Shouning Zhang1, Yanle Li1, Cuicui Liu1, Hailiang Li1

Extracting Breathing Signal Using Fourier Transform from Cine Magnetic Resonance Imaging

Jing Cai1,2, Yilin Liu2, Fangfang Yin1,2

Split End Family RNA Binding Proteins: Novel Tumor Suppressors Coupling Transcriptional Regulation with RNA Processing

Hairui Su1, Yanyan Liu2, Xinyang Zhao1

Thioredoxin-interacting Protein as a Common Regulation Target for Multiple Drugs in Clinical Therapy/Application

Pengxing  Zhang1, Xiaoling Pang2,3, Yanyang Tu1,4

Associations of Age and Chemotherapy with Late Skin and Subcutaneous Tissue Toxicity in a Hypofractionated Adjuvant Radiation Therapy Schedule in Post‑mastectomy Breast Cancer Patients

Mohammad Akram1, Ghufran Nahid1, Shahid Ali Siddiqui1, Ruquiya Afrose2

Monitoring of Disease Activity in Chronic Myeloid Leukemia‑chronic Phase Patients Treated with Indian Generic Veenat (NATCO) Imatinib Mesylate: A Tertiary Care Experience

Khushboo Dewan, Tathagat Chatterjee

Review of Cancer Immunotherapy: Application of Chimeric Antigen Receptor T Cells and Programmed Death 1/Programmed Death‑ligand 1 Antibodies

Tengfei Zhang1,2, Ling Cao1, Zhen Zhang1, Dongli Yue1, Yu Ping1, Hong Li1, Lan Huang1, Yi Zhang1,3,4,5

Systematic Review of MicroRNAs and its Therapeutic Potential in Glioma

Nan Liu1, Yanyang Tu2

The Involvement of p53‑miR‑34a‑CDK4 Signaling During the Development of Cervical Cancer

Huijun Zuo, Jieqi Xiong, Hongwei Chen, Sisun Liu, Qiaoying Gong, Fei Guo

Unusual Clinical Presentation of a Rare Type of Breast Malignancy: A Case Report and a Short Review of Literature

Nadeesha J. Nawarathna1, Navam R. Kumarasinghe1, Palitha Rathnayake2,
Ranjith J. K. Seneviratne1

Sweet’s Syndrome in Acute Lymphoblastic Leukemia with t (9:22)

Khushboo Dewan, Shailaja Shukla

Analysis of the Correlationship between Prostate Specific Antigen Related Variables and Risk Factor in Patients with Prostate Carcinoma

Daoyuan Wang1, Tiejun Yang2, Yongqiang Zou1, Xinqiang Yang1

Recent Progress in Genetic and Epigenetic Profile of Diffuse Gastric Cancer

Zhengxi He1, Bin Li1,2

Strategies for Management of Spinal Metastases: A Comprehensive Review

Zhantao Deng, Bin Xu, Jiewen Jin, Jianning Zhao, Haidong Xu

Application and Perspectives of Traditional Chinese Medicine in the Treatment of Liver Cancer

Xia Mao, Yanqiong Zhang, Na Lin

Primary Hepatic Carcinoid Tumor: A Case Report and Literature Review

Yupeng Lei1, Hongxia Chen2, Pi Liu1, Xiaodong Zhou1

Expression Characteristics of miR‑10b in Nasopharyngeal Carcinoma

Gang Li, Yunteng Zhao, Jianqi Wang, Haoran Huang, Mengwen Zhang

An Update on Immunohistochemistry in Translational Cancer Research

Zonggao Shi, M. Sharon Stack

Promoter Methylated Tumor Suppressor Genes in Glioma

Yingduan Cheng1, Yanyang Tu2, Pei Liang3

Palliative Treatment of Malignant Pleural Effusion

Chenyang Liu1*, Qian Qian2*, Shen Geng1, Wenkui Sun1, Yi Shi1

Functional Perspective and Implications of Gene Expression by Noncoding RNAs

Xiaoshuang Yan1, Huanyu Xu2, Zhonghai Yan3

Expression of E3 Ubiquitin Ligases in Multiple Myeloma Patients after Treatment with the Proteasome Inhibitor Bortezomib

James Joseph Driscoll

miR‑505 Downregulates 6‑Phosphofructo‑2‑Kinase/ Fructose‑2,6‑Biphosphatase 4 to Promote Cell Death in Glioblastoma

Esther H. Chung, Hongwei Yang, Hongyan Xing, Rona S. Carroll, Mark D. Johnson

Utility of Fine Needle Aspiration Cytology in Diagnosing Bone Tumors

Sonal Mahajan1, Akash Arvind Saoji2, Anil Agrawal1

Histone H2A and H2B Deubiquitinase in Developmental Disease and Cancer

Demeng Chen1, Caifeng Dai2, Yizhou Jiang3

Genetic Characteristics of Glioblastoma: Clinical Implications of Heterogeneity

Qian Li1, Yanyang Tu1,2

Acute Lymphoblastic Leukemia with Normal Platelet Count

Khushboo Dewan, Kiran Agarwal

Galanin is a Novel Epigenetic Silenced Functional Tumor Suppressor in Renal Cell Carcinoma

Shengkun Sun1*, Axiang Xu1*, Guoqiang Yang1, Yingduan Cheng2


Selenium Dioxide Induced Apoptosis in Cervical Cancer Cells via Regulating Apoptosis-related Let-7a MicroRNA and Proteins

Sisun Liu1, Jieqi Xiong2, Ling Guo3, Min Xiu1,4, Feng He1,4, Yuanlei Lou5, Fei Guo6,7

Low Expression of Polo‑like Kinase 1 is Associated with Poor Prognosis in Liver Cancer

Weixia Li1, Kunpeng Liu1, Dechen Lin2, Xin Xu2, Haizhen Lu3, Xinyu Bi4, Mingrong Wang2

Extracorporeal Photopheresis for Steroid‑refractory Chronic Graft‑versus‑host Disease After Allogeneic Hematopoietic Stem Cell Transplantation: A Systematic Review and Meta‑Analysis

Runzhe Chen1, Baoan Chen1, Peter Dreger2, Michael Schmitt2, Anita Schmitt2

Glucans and Cancer: Historical Perspective

Petr Sima1, Luca Vannucci1, Vaclav Vetvicka2

Implications of Circadian Rhythm Regulation by microRNAs in Colorectal Cancer

Song Wu1, Andrew Fesler2, Jingfang Ju2

BCL2 Family, Mitochondrial Apoptosis, and Beyond

Haiming Dai1, X. Wei Meng2, Scott H. Kaufmann2

Quantum Dot‑based Immunohistochemistry for Pathological Applications

Li Zhou1, Jingzhe Yan2, Lingxia Tong3, Xuezhe Han4, Xuefeng Wu5, Peng Guo6

CD24 as a Molecular Marker in Ovarian Cancer: A Literature Review

Lu Huang1, Weiguo Lv2, Xiaofeng Zhao1

Etiological Trends in Oral Squamous Cell Carcinoma: A Retrospective Institutional Study

Varsha Salian, Chethana Dinakar, Pushparaja Shetty, Vidya Ajila

Effect of Irinotecan Combined with Cetuximab on Liver Function in Patients with Advanced Colorectal Cancer with Liver Metastases

Yan Liang1, Yang Li2, Xin Li3, Jianfu Zhao4

The Role of Precision Medicine in Pancreatic Cancer: Challenges for Targeted Therapy, Immune Modulating Treatment, Early Detection, and Less Invasive Operations

Khaled Kyle Wong1, Zhirong Qian2, Yi Le3

Targeting Signal Transducer and Activator of Transcription 3 for Colorectal Cancer Prevention and Treatment with Natural Products

Weidong Li1,2*, Cihui Chen3*, Zheng Liu2, Baojin Hua1

The Potential of Wnt Signaling Pathway in Cancer: A Focus on Breast Cancer

Mahnaz M. Kazi, Trupti I. Trivedi, Toral P. Kobawala, Nandita R. Ghosh

Imaging‑driven Digital Biomarkers

Enrico Capobianco

Target‑Matching Accuracy in Stereotactic Body Radiation Therapy of Lung Cancer: An Investigation Based on Four‑Dimensional Digital Human Phantom

Jing Cai1,2, Kate Turner2, Xiao Liang2, W. Paul Segars2,3, Chris R. Kelsey1, David Yoo1, Lei Ren1,2, Fang‑Fang Yin1,2

Downregulation of Death‑associated Protein Kinase 3 and Caspase‑3 Correlate to the Progression and Poor Prognosis of Gliomas

Ye Song, Tianshi Que, Hao Long, Xi’an Zhang, Luxiong Fang, Zhiyong Li, Songtao Qi

Hyaluronic Acid in Normal and Neoplastic Colorectal Tissue: Electrospray Ionization Mass Spectrometric and Fluor Metric Analysis

Ana Paula Cleto Marolla1, Jaques Waisberg2, Gabriela Tognini Saba2, Demétrius Eduardo Germini2, Maria Aparecida da Silva Pinhal1

Melanoma Antigen Gene Family in the Cancer Immunotherapy

Fengyu Zhu1, Yu Liang1, Demeng Chen2, Yang Li1

Combined Chronic Lymphocytic Leukemia and Pancreatic Neuroendocrine Carcinoma: A Collision Tumor Variation

Kaijun Huang1, Panagiotis J. Vlachostergios1, Wanhua Yang2, Rajeev L. Balmiki3

Antiproliferative and Apoptotic Effect of Pleurotus ostreatus on Human Mammary Carcinoma Cell Line (Michigan Cancer Foundation‑7)

Krishnamoorthy Deepalakshmi, Sankaran Mirunalini

Impact of Age on the Biochemical Failure and Androgen Suppression after Radical Prostatectomy for Prostate Cancer in Chilean Men

Nigel P. Murray1,2, Eduardo Reyes1,3, Nelson Orellana1, Cynthia Fuentealba1, Omar Jacob1

Carcinoma of Unknown Primary: 35 Years of a Single Institution’s Experience

Rana I. Mahmood1,2, Mohammed Aldehaim1,3, Fazal Hussain4, Tusneem A. Elhassan4,
Zubeir A. Khan5, Muhammad A. Memon6

Metformin in Ovarian Cancer Therapy: A Discussion

Yeling Ouyang1, Xi Chen2, Chunyun Zhang1, Vichitra Bunyamanop1, Jianfeng Guo3

The Progress in Molecular Biomarkers of Gliomas

Jing Qi1, Hongwei Yang2, Xin Wang2, Yanyang Tu1

Correlation between Paclitaxel Tc > 0.05 and its Therapeutic Efficacy and Severe Toxicities in Ovarian Cancer Patients

Shuyao Zhang1*, Muyin Sun2*, Yun Yuan3*, Miaojun Wang4*, Yuqi She1*, Li Zhou5, Congzhu Li5, Chen Chen1, Shengqi Zhang4

Identifying Gaps and Relative Opportunities for Discovering Membrane Proteomic Biomarkers of Triple‑negative Breast Cancer as a Translational Priority

Bhooma Venkatraman

The Molecular Mechanism and Regulatory Pathways of Cancer Stem Cells

Zhen Wang1, Hongwei Yang2, Xin Wang2, Liang Wang3, Yingduan Cheng4, Yongsheng Zhang5, Yanyang Tu1,2

Nanoparticle Drug Delivery Systems and Three‑dimensional Cell Cultures in Cancer Treatments and Research

Wenjin Shi1, Ding Weng2,3, Wanting Niu2,3

Choline Kinase Inhibitors Synergize with TRAIL in the Treatment of Colorectal Tumors and Overcomes TRAIL Resistance

Juan Carlos Lacal1, Ladislav Andera2

MicroRNA Regulating Metabolic Reprogramming in Tumor Cells: New Tumor Markers

Daniel Otero‑Albiol, Blanca Felipe‑Abrio

Biomarkers of Colorectal Cancer: A Genome‑wide Perspective

José M. Santos‑Pereira1, Sandra Muñoz‑Galván2

Nicotinamide Adenine Dinucleotide+ Metabolism Biomarkers in Malignant Gliomas

Manuel P. Jiménez‑García, Eva M. Verdugo‑Sivianes, Antonio Lucena‑Cacace

Patient-derived Xenografts as Models for Personalized Medicine Research in Cancer

Marco Perez, Lola Navas, Amancio Carnero

Genome‑wide Transcriptome Analysis of Prostate Cancer Tissue Identified Overexpression of Specific Members of the Human Endogenous Retrovirus‑K Family

Behnam Sayanjali1,2

Clinical Utility of Interleukin‑18 in Breast Cancer Patients: A Pilot Study

Reecha A. Parikh, Toral P. Kobawala, Trupti I. Trivedi, Mahnaz M. Kazi, Nandita R. Ghosh

Current and Future Systemic Treatment Options for Advanced Soft‑tissue Sarcoma beyond Anthracyclines and Ifosfamide

Nadia Hindi1,2, Javier Martin‑Broto1,2

The Genomic Organization and Function of IRX1 in Tumorigenesis and Development

Pengxing Zhang1, Hongwei Yang2, Xin Wang2, Liang Wang3, Yingduan Cheng4, Yongsheng Zhang5, Yanyang Tu1,2

Stem Cell‑based Approach in Diabetes and Pancreatic Cancer Management

Yi‑Zhou Jiang1, Demeng Chen2

Mutation Detection with a Liquid Biopsy 96 Mutation Assay in Cancer Patients and Healthy Donors

Aaron Yun Chen, Glenn D. Braunstein, Megan S. Anselmo, Jair A. Jaboni, Fernando Troy Viloria, Julie A. Neidich, Xiang Li, Anja Kammesheidt

The Application of Estrogen Receptor‑1 Mutations’ Detection through Circulating Tumor DNA in Breast Cancer

Binliang Liu, Yalan Yang, Zongbi Yi, Xiuwen Guan, Fei Ma

Circulating MicroRNAs and Long Noncoding RNAs: Liquid Biomarkers in Thoracic Cancers

Pablo Reclusa1, Anna Valentino1, Rafael Sirera1,2, Martin Frederik Dietrich3, Luis Estuardo Raez3, Christian Rolfo1

Exosomes Biology: Function and Clinical Implications in Lung Cancer

Martin Frederik Dietrich1, Christian Rolfo2, Pablo Reclusa2, Marco Giallombardo2, Anna Valentino2, Luis E. Raez1

Circulating Tumor DNA: A Potential Biomarker from Solid Tumors’ Monitor to Anticancer Therapies

Ting Chen1,2, Rongzhang He1,3, Xinglin Hu1,3,4, Weihao Luo1, Zheng Hu1,3, Jia Li1, Lili Duan1, Yali Xie1,2, Wenna Luo1,2, Tan Tan1,2, Di‑Xian Luo1,2

Novel Molecular Multilevel Targeted Antitumor Agents

Poonam Sonawane1, Young A. Choi1, Hetal Pandya2, Denise M. Herpai1, Izabela Fokt3,
Waldemar Priebe3, Waldemar Debinski1

Fish Oil and Prostate Cancer: Effects and Clinical Relevance

Pei Liang, Michael Gao Jr.

Stemness‑related Markers in Cancer

Wenxiu Zhao1, Yvonne Li2, Xun Zhang1

Autophagy Regulated by miRNAs in Colorectal Cancer Progression and Resistance

Andrew Fesler1, Hua Liu1, Ning Wu1,2, Fei Liu3, Peixue Ling3, Jingfang Ju1,3

Gastric Metastases Mimicking Primary Gastric Cancer: A Brief Literature Review

Simona Gurzu1,2,3, Marius Alexandru Beleaua1, Laura Banias2, Ioan Jung1

Possibility of Specific Expression of the Protein Toxins at the Tumor Site with Tumor‑specialized Promoter

Liyuan Zhou1,2, Yujun Li1,2, Changchen Hu3, Binquan Wang1,2

SKI‑178: A Multitargeted Inhibitor of Sphingosine Kinase and Microtubule Dynamics Demonstrating Therapeutic Efficacy in Acute Myeloid Leukemia Models

Jeremy A. Hengst1,2, Taryn E. Dick1,2, Arati Sharma1, Kenichiro Doi3, Shailaja Hegde4, Su‑Fern Tan5, Laura M. Geffert1,2, Todd E. Fox5, Arun K. Sharma1, Dhimant Desai1, Shantu Amin1, Mark Kester5, Thomas P. Loughran5, Robert F. Paulson4, David F. Claxton6, Hong‑Gang Wang3, Jong K. Yun1,2

A T‑cell Engager‑armed Oncolytic Vaccinia Virus to Target the Tumor Stroma

Feng Yu1, Bangxing Hong1, Xiao‑Tong Song1,2,3

Real‑world Experience with Abiraterone in Metastatic Castration‑resistant Prostate Cancer

Yasar Ahmed1, Nemer Osman1, Rizwan Sheikh2, Sarah Picardo1, Geoffrey Watson1

Combination of Interleukin‑11Rα Chimeric Antigen Receptor T‑cells and Programmed Death‑1 Blockade as an Approach to Targeting Osteosarcoma Cells In vitro

Hatel Rana Moonat, Gangxiong Huang, Pooja Dhupkar, Keri Schadler, Nancy Gordon,
Eugenie Kleinerman

Efficacy and Safety of Paclitaxel‑based Therapy and Nonpaclitaxel‑based Therapy in Advanced Gastric Cancer

Tongwei Wu, Xiao Yang, Min An, Wenqin Luo, Danxian Cai, Xiaolong Qi

Motion Estimation of the Liver Based on Deformable Image Registration: A Comparison Between Four‑Dimensional‑Computed Tomography and Four‑Dimensional-Magnetic Resonance Imaging

Xiao Liang1, Fang‑Fang Yin1,2, Yilin Liu1, Brian Czito2, Manisha Palta2, Mustafa Bashir3, Jing Cai1,2

A Feasibility Study of Applying Thermal Imaging to Assist Quality Assurance of High‑Dose Rate Brachytherapy

Xiaofeng Zhu1, Yu Lei1, Dandan Zheng1, Sicong Li1, Vivek Verma1, Mutian Zhang1, Qinghui Zhang1, Xiaoli Tang2, Jun Lian2, Sha X. Chang2, Haijun Song3, Sumin Zhou1, Charles A. Enke1

Role of Exosome microRNA in Breast Cancer

Wang Qu, Ma Fei, Binghe Xu

Recent Progress in Technological Improvement and Biomedical Applications of the Clustered Regularly Interspaced Short Palindromic Repeats/Cas System

Yanlan Li1,2*, Zheng Hu1*, Yufang Yin3, Rongzhang He1, Jian Hu1, Weihao Luo1, Jia Li1, Gebo Wen2, Li Xiao1, Kai Li1, Duanfang Liao4, Di-Xian Luo1,5

The Significance of Nuclear Factor‑Kappa B Signaling Pathway in Glioma: A Review

Xiaoshan Xu1, Hongwei Yang2, Xin Wang2, Yanyang Tu1

Markerless Four‑Dimensional‑Cone Beam Computed Tomography Projection‑Phase Sorting Using Prior Knowledge and Patient Motion Modeling: A Feasibility Study

Lei Zhang1,2, Yawei Zhang2, You Zhang1,2,3, Wendy B. Harris1,2, Fang‑Fang Yin1,2,4, Jing Cai1,4,5, Lei Ren1,2

The Producing Capabilities of Interferon‑g and Interleukin‑10 of Spleen Cells in Primary and Metastasized Oral Squamous Cell Carcinoma Cells-implanted Mice

Yasuka Azuma1,2, Masako Mizuno‑Kamiya3, Eiji Takayama1, Harumi Kawaki1, Toshihiro Inagaki4, Eiichi Chihara2, Yasunori Muramatsu5, Nobuo Kondoh1

“Eating” Cancer Cells by Blocking CD47 Signaling: Cancer Therapy by Targeting the Innate Immune Checkpoint

Yi‑Rong Xiang, Li Liu

Glycosylation is Involved in Malignant Properties of Cancer Cells

Kazunori Hamamura1, Koichi Furukawa2

Biomarkers in Molecular Epidemiology Study of Oral Squamous Cell Carcinoma in the Era of Precision Medicine

Qing‑Hao Zhu1*, Qing‑Chao Shang1*, Zhi‑Hao Hu1*, Yuan Liu2, Bo Li1, Bo Wang1, An‑Hui Wang1

I‑Kappa‑B Kinase‑epsilon Activates Nuclear Factor‑kappa B and STAT5B and Supports Glioblastoma Growth but Amlexanox Shows Little Therapeutic Potential in These Tumors

Nadège Dubois1, Sharon Berendsen2, Aurélie Henry1,2, Minh Nguyen1, Vincent Bours1,
Pierre Alain Robe1,2

Suppressive Effect of Mesenchymal Stromal Cells on Interferon‑g‑Producing Capability of Spleen Cells was Specifically Enhanced through Humoral Mediator(s) from Mouse Oral Squamous Cell Carcinoma Sq‑1979 Cells In Vitro

Toshihiro Inagaki1,2, Masako Mizuno‑Kamiya3, Eiji Takayama1, Harumi Kawaki1, Eiichi Chihara4, Yasunori Muramatsu5, Shinichiro Sumitomo5, Nobuo Kondoh1

An Interplay Between MicroRNA and SOX4 in the Regulation of Epithelial–Mesenchymal Transition and Cancer Progression

Anjali Geethadevi1, Ansul Sharma2, Manish Kumar Sharma3, Deepak Parashar1

MicroRNAs Differentially Expressed in Prostate Cancer of African‑American and European‑American Men

Ernest K. Amankwah

The Role of Reactive Oxygen Species in Screening Anticancer Agents

Xiaohui Xu1, Zilong Dang2, Taoli Sun3, Shengping Zhang1, Hongyan Zhang1

Panobinostat and Its Combination with 3‑Deazaneplanocin‑A Induce Apoptosis and Inhibit In vitro Tumorigenesis and Metastasis in GOS‑3 Glioblastoma Cell Lines

Javier de la Rosa*, Alejandro Urdiciain*, Juan Jesús Aznar‑Morales, Bárbara Meléndez1,
Juan A. Rey2, Miguel A. Idoate3, Javier S. Castresana

Cancer Stem‑Like Cells Have Cisplatin Resistance and miR‑93 Regulate p21 Expression in Breast Cancer

Akiko Sasaki1, Yuko Tsunoda2, Kanji Furuya3, Hideto Oyamada1, Mayumi Tsuji1, Yuko Udaka1, Masahiro Hosonuma1, Haruna Shirako1, Nana Ichimura1, Yuji Kiuchi1

The Contribution of Hexokinase 2 in Glioma

Hui Liu1, Hongwei Yang2, Xin Wang3, Yanyang Tu1

The Mechanism of BMI1 in Regulating Cancer Stemness Maintenance, Metastasis, Chemo‑ and Radiation Resistance

Xiaoshan Xu, Zhen Wang, Nan Liu, Pengxing Zhang, Hui Liu, Jing Qi, Yanyang Tu

A Multisource Adaptive Magnetic Resonance Image Fusion Technique for Versatile Contrast Magnetic Resonance Imaging

Lei Zhang1,2, Fang‑Fang Yin1,2,3, Brittany Moore1,2, Silu Han1,2, Jing Cai1,2,4

Senescence and Cancer

Sulin Zeng1,2, Wen H. Shen2, Li Liu1

The “Wild”‑type Gastrointestinal Stromal Tumors: Heterogeneity on Molecule Characteristics and Clinical Features

Yanhua Mou1, Quan Wang1, Bin Li1,2

Retreatment with Cabazitaxel in a Long‑Surviving Patient with Castration‑Resistant Prostate Cancer and Visceral Metastasis

Raquel Luque Caro, Carmen Sánchez Toro, Lucia Ochoa Vallejo

Therapy‑Induced Histopathological Changes in Breast Cancers: The Changing Role of Pathology in Breast Cancer Diagnosis and Treatment

Shazima Sheereen1, Flora D. Lobo1, Waseemoddin Patel2, Shamama Sheereen3,
Abhishek Singh Nayyar4, Mubeen Khan5

Glioma Research in the Era of Medical Big Data

Feiyifan Wang1, Christopher J. Pirozzi2, Xuejun Li1

Transarterial Embolization for Hepatocellular Adenomas: Case Report and Literature Review

Jian‑Hong Zhong1,2, Kang Chen1, Bhavesh K. Ahir3, Qi Huang4, Ye Wu4, Cheng‑Cheng Liao1, Rong‑Rong Jia1, Bang‑De Xiang1,2, Le‑Qun Li1,2

Nicotinamide Phosphoribosyltransferase: Biology, Role in Cancer, and Novel Drug Target

Antonio Lucena‑Cacace1,2,3, Amancio Carnero1,2

Enhanced Anticancer Effect by Combination of Proteoglucan and Vitamin K3 on Bladder Cancer Cells

Michael Zhang, Kelvin Zheng, Muhammad Choudhury, John Phillips, Sensuke Konno

Molecular Insights Turning Game for Management of Ependymoma: A Review of Literature

Ajay Sasidharan, Rahul Krishnatry

IDH Gene Mutation in Glioma

Leping Liu1, Xuejun Li1,2

Challenges and Advances in the Management of Pediatric Intracranial Germ Cell Tumors: A Case Report and Literature Review

Gerard Cathal Millen1, Karen A. Manias1,2, Andrew C. Peet1,2, Jenny K. Adamski1

Assessing the Feasibility of Using Deformable Registration for Onboard Multimodality‑Based Target Localization in Radiation Therapy

Ge Ren1,2,3, Yawei Zhang1,2, Lei Ren1,2

Research Advancement in the Tumor Biomarker of Hepatocellular Carcinoma

Qing Du1, Xiaoying Ji2, Guangjing Yin3, Dengxian Wei3, Pengcheng Lin1, Yongchang Lu1,
Yugui Li3, Qiaohong Yang4, Shizhu Liu5, Jinliang Ku5, Wenbin Guan6, Yuanzhi Lu7

Novel Insights into the Role of Bacterial Gut Microbiota in Hepatocellular Carcinoma

Lei Zhang1, Guoyu Qiu2, Xiaohui Xu2, Yufeng Zhou3, Ruiming Chang4

Central Odontogenic Fibroma with Unusual Presenting Symptoms

Aanchal Tandon, Bharadwaj Bordoloi, Safia Siddiqui, Rohit Jaiswal

The Prognostic Role of Lactate in Patients Who Achieved Return of Spontaneous Circulation after Cardiac Arrest: A Systematic Review and Meta‑analysis

Dongni Ren1, Xin Wang2, Yanyang Tu1,2

Inhibitory Effect of Hyaluronidase‑4 in a Rat Spinal Cord Hemisection Model

Xipeng Wang1,2, Mitsuteru Yokoyama2, Ping Liu3

Research and Development of Anticancer Agents under the Guidance of Biomarkers

Xiaohui Xu1, Guoyu Qiu1, Lupeng Ji2, Ruiping Ma3, Zilong Dang4, Ruling Jia1, Bo Zhao1

Idiopathic Hypereosinophilic Syndrome and Disseminated Intravascular Coagulation

Mansoor C. Abdulla

Phosphorylation of BRCA1‑Associated Protein 1 as an Important Mechanism in the Evasion of Tumorigenesis: A Perspective

Guru Prasad Sharma1, Anjali Geethadevi2, Jyotsna Mishra3, G. Anupa4, Kapilesh Jadhav5,
K. S. Vikramdeo6, Deepak Parashar2

Progress in Diagnosis and Treatment of Mixed Adenoneuroendocrine Carcinoma of Biliary‑Pancreatic System

Ge Zengzheng1, Huang-Sheng Ling2, Ming-Feng Li2, Xu Xiaoyan1, Yao Kai1, Xu Tongzhen3,
Ge Zengyu4, Li Zhou5

Surface-Enhanced Raman Spectroscopy to Study the Biological Activity of Anticancer Agent

Guoyu Qiu1, Xiaohui Xu1, Lupeng Ji2, Ruiping Ma3, Zilong Dang4, Huan Yang5

Alzheimer’s Disease Susceptibility Genes in Malignant Breast Tumors

Steven Lehrer1, Peter H. Rheinstein2

OSMCC: An Online Survival Analysis Tool for Merkel Cell Carcinoma

Umair Ali Khan Saddozai1, Qiang Wang1, Xiaoxiao Sun1, Yifang Dang1, JiaJia Lv1,2, Junfang Xin1, Wan Zhu3, Yongqiang Li1, Xinying Ji1, Xiangqian Guo1

Protective Activity of Selenium against 5‑Fluorouracil‑Induced Nephrotoxicity in Rats

Elias Adikwu, Nelson Clemente Ebinyo, Beauty Tokoni Amgbare

Advances on the Components of Fibrinolytic System in Malignant Tumors

Zengzheng Ge1, Xiaoyan Xu1, Zengyu Ge2, Shaopeng Zhou3, Xiulin Li1, Kai Yao1, Lan Deng4

A Patient with Persistent Foot Swelling after Ankle Sprain: B‑Cell Lymphoblastic Lymphoma Mimicking Soft‑tissue Sarcoma

Crystal R. Montgomery‑Goecker1, Andrew A. Martin2, Charles F. Timmons3, Dinesh Rakheja3, Veena Rajaram3, Hung S. Luu3

Coenzyme Q10 and Resveratrol Abrogate Paclitaxel‑Induced Hepatotoxicity in Rats

Elias Adikwu, Nelson Clemente Ebinyo, Loritta Wasini Harris

Progress in Clinical Follow‑up Study of Dendritic Cells Combined with Cytokine‑Induced Killer for Stomach Cancer

Ling Wang1,2, Run Wan1,2, Cong Chen1,2, Ruiliang Su1,2, Yumin Li1,2

Supraclavicular Lymphadenopathy as the Initial Manifestation in Carcinoma of Cervix

Priyanka Priyaarshini1, Tapan Kumar Sahoo2

ABO Typing Error Resolution and Transfusion Support in a Case of an Acute Leukemia Patient Showing Loss of Antigen Expression

Debasish Mishra1, Gopal Krushna Ray1, Smita Mahapatra2, Pankaj Parida2

Protein Disulfide Isomerase A3: A Potential Regulatory Factor of Colon Epithelial Cells

Yang Li1, Zhenfan Huang2, Haiping Jiang3

Clinicopathological Association of p16 and its Impact on Outcome of Chemoradiation in Head‑and‑Neck Squamous Cell Cancer Patients in North‑East India

Srigopal Mohanty1, Yumkhaibam Sobita Devi2, Nithin Raj Daniel3, Dulasi Raman Ponna4,
Ph. Madhubala Devi5, Laishram Jaichand Singh2

Potential Inhibitor for 2019‑Novel Coronaviruses in Drug Development

Xiaohui Xu1, Zilong Dang2, Lei Zhang3, Lingxue Zhuang4, Wutang Jing5, Lupeng Ji6, Guoyu Qiu1

Best‑Match Blood Transfusion in Pediatric Patients with Mixed Autoantibodies

Debasish Mishra1, Dibyajyoti Sahoo1, Smita Mahapatra2, Ashutosh Panigrahi3

Characteristics and Outcome of Patients with Pheochromocytoma

Nadeema Rafiq1, Tauseef Nabi2, Sajad Ahmad Dar3, Shahnawaz Rasool4

Comparison of Histopathological Grading and Staging of Breast Cancer with p53‑Positive and Transforming Growth Factor‑Beta Receptor 2‑Negative Immunohistochemical Marker Expression Cases

Palash Kumar Mandal1, Anindya Adhikari2, Subir Biswas3, Amita Giri4, Arnab Gupta5,
Arindam Bhattacharya6

Chemical Compositions and Antiproliferative Effect of Essential Oil of Asafoetida on MCF7 Human Breast Cancer Cell Line and Female Wistar Rats

Seyyed Majid Bagheri1,2, Davood Javidmehr3, Mohammad Ghaffari1, Ehsan Ghoderti‑Shatori4

Cyclooxygenase‑2 Contributes to Mutant Epidermal Growth Factor Receptor Lung Tumorigenesis by Promoting an Immunosuppressive Environment

Mun Kyoung Kim1, Aidin Iravani2, Matthew K. Topham2,3

Potential role of CircMET as A Novel Diagnostic Biomarker of Papillary Thyroid Cancer

Yan Liu1,2,3,4#, Chen Cui1,2,3,4#, Jidong Liu1,2,3,4, Peng Lin1,2,3,4,Kai Liang1,2,3,4, Peng Su5, Xinguo Hou1,2,3,4, Chuan Wang1,2,3,4, Jinbo Liu1,2,3,4, Bo Chen6, Hong Lai1,2,3,4, Yujing Sun1,2,3,4* and Li Chen 1,2,3,4*

Cuproptosis-related Genes in Glioblastoma as Potential Therapeutic Targets

Zhiyu Xia1,2, Haotian Tian1, Lei Shu1,2, Guozhang Tang3, Zhenyu Han4, Yangchun Hu1*, Xingliang Dai1*

Cancer Diagnosis and Treatments by Porous Inorganic Nanocarriers

Jianfeng Xu1,2, Hanwen Zhang1,2, Xiaohui Song1,2, Yangong Zheng3, Qingning Li1,2,4*

Delayed (20 Years) post-surgical Esophageal Metastasis of Breast Cancer - A Case Report

Bowen Hu1#, Lingyu Du2#, Hongya Xie1, Jun Ma1, Yong Yang1*, Jie Tan2*

Subtyping of Undifferentiated Pleomorphic Sarcoma and Its Clinical Meaning

Umair Ali Khan Saddozai, Zhendong Lu, Fengling Wang, Muhammad Usman Akbar, Saadullah Khattak, Muhammad Badar, Nazeer Hussain Khan, Longxiang Xie, Yongqiang Li, Xinying Ji, Xiangqian Guo

ESRP2 as a Non-independent Potential Biomarker-Current Progress in Tumors

Yuting Chen, Yuzhen Rao, Zhiyu Zeng, Jiajie Luo, Chengkuan Zhao, Shuyao Zhang

Resection of Bladder Tumors at the Ureteral Orifice Using a Hook Plasma Electrode: A Case Report

Jun Li, Ziyong Wang, Qilin Wang

Structural Characterization and Bioactivity for Lycium Barbarum Polysaccharides

Jinghua Qi1,2,  Hangping Chen3,Huaqing Lin2,4,Hongyuan Chen1,2,5* and Wen Rui2,3,5,6*

The Role of IL-22 in the Prevention of Inflammatory Bowel Disease and Liver Injury

Xingli Qi1,2, Huaqing Lin2,3, Wen Rui2,3,4,5 and Hongyuan Chen1,2,3

RBM15 and YTHDF3 as Positive Prognostic Predictors in ESCC: A Bioinformatic Analysis Based on The Cancer Genome Atlas (TCGA)

Yulou Luo1, Lan Chen2, Ximing Qu3, Na Yi3, Jihua Ran4, Yan Chen3,5*

Mining and Analysis of Adverse Drug Reaction Signals Induced by Anaplastic Lymphoma Kinase-Tyrosine Kinase Inhibitors Based on the FAERS Database

Xiumin Zhang1,2#, Xinyue Lin1,3#, Siman Su1,3#, Wei He3, Yuying Huang4, Chengkuan Zhao3, Xiaoshan Chen3, Jialin Zhong3, Chong Liu3, Wang Chen3, Chengcheng Xu3, Ping Yang5, Man Zhang5, Yanli Lei5*, Shuyao Zhang1,3*

Advancements in Immunotherapy for Advanced Gastric Cancer

Min Jiang1#, Rui Zheng1#, Ling Shao1, Ning Yao2, Zhengmao Lu1*

Tumor Regression after COVID-19 Infection in Metastatic Adrenocortical Carcinoma Treated with Immune Checkpoint Blockade: A Case Report

Qiaoxin Lin1, Bin Liang1, Yangyang Li2, Ling Tian3*, Dianna Gu1*

Mining and Analysis of Adverse Events of BRAF Inhibitors Based on FDA Reporting System

Silan Peng1,2#, Danling Zheng1,3#, Yanli Lei4#, Wang Chen3, Chengkuan Zhao3, Xinyue Lin1, Xiaoshan Chen3, Wei He3, Li Li3, Qiuzhen Zhang5*, Shuyao Zhang1,3*

Malignant Phyllodes Tumor with Fever, Anemia, Hypoproteinemia: A Rare and Strange Case Report and Literature Review

Zhenghang Li1, Yuxian Wei1*

Construction of Cuproptosis-Related LncRNA Signature as a Prognostic Model Associated with Immune Microenvironment for Clear-Cell Renal Cell Carcinoma

Jiyao Yu1#, Shukai Zhang2#, Qingwen Ran3, Xuemei Li4,5,6*

PlaSciPub - Platform for Scientific Publications

Copyrights © 2021 - 2022 | Plascipub | All Rights Reserved