Cuproptosis-related gene-located DNA methylation in lower-grade glioma: Prognosis and tumor microenvironment
In this study, we systematically assessed the prognostic value of CRG-located DNA-methylation for lower-grade glioma (LGG). Clinical and molecular data were sourced from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. We employed Cox hazard regression to examine the associations between CRG-located DNA-methylation and OS, leading to the development of a prognostic signature. Kaplan-Meier survival and time-dependent receiver operating characteristic (ROC) analyses were utilized to gauge the accuracy of the signature. Gene Set Enrichment Analysis (GSEA) was applied to uncover potential biological ...
Source: Cancer Biomarkers - April 5, 2024 Category: Cancer & Oncology Authors: Liucun Zhu Fa Yuan Xue Wang Rui Zhu Wenna Guo Source Type: research
Deep learning approaches for breast cancer detection in histopathology images: A review
CONCLUSION: This review has presented a thorough account of the current state-of-the-art techniques for detecting breast cancer using histopathology images. The integration of machine learning and deep learning algorithms has demonstrated promising results in accurately identifying breast cancer from histopathology images. The insights gathered from this review can act as a valuable reference for researchers in this field who are developing diagnostic strategies using histopathology images. Overall, the objective of this review is to spark interest among scholars in this complex field and acquaint them with cutting-edge te...
Source: Cancer Biomarkers - March 22, 2024 Category: Cancer & Oncology Authors: Lakshmi Priya C V Biju V G Vinod B R Sivakumar Ramachandran Source Type: research
A novel disulfidptosis-related prognostic gene signature and experimental validation identify ACTN4 as a novel therapeutic target in lung adenocarcinoma
CONCLUSIONS: Our study introduced a prognostic model based on DRGs, which could forecast the prognosis of patients with LUAD. The biomarker ACTN4 exhibits promise for the diagnosis and management of LUAD, given its correlation with tumor immune infiltration and m6A modification.PMID:38517776 | DOI:10.3233/CBM-230276 (Source: Cancer Biomarkers)
Source: Cancer Biomarkers - March 22, 2024 Category: Cancer & Oncology Authors: Kai Xie Bin Wang Pei Pang Guangbin Li Qianqian Yang Chen Fang Wei Jiang Yu Feng Haitao Ma Source Type: research
Multi-omics comprehensive analysis reveals the predictive value of N6-methyladenosine- related genes in prognosis and immune escape of bladder cancer
CONCLUSIONS: These findings revealed the important roles of m6A MRGs in predicting prognosis, TMB status, TP53 mutation, immune functions and immunotherapeutic response in BC.PMID:38517777 | DOI:10.3233/CBM-230286 (Source: Cancer Biomarkers)
Source: Cancer Biomarkers - March 22, 2024 Category: Cancer & Oncology Authors: Yang Liu Zhongqi Pang Jianshe Wang Jinfeng Wang Bo Ji Yidan Xu Jiaxin He Lu Zhang Yansong Han Linkun Shen Wanhai Xu Minghua Ren Source Type: research
Identification of a prognostic signature based on five ferroptosis-related genes for diffuse large B-cell lymphoma
CONCLUSION: The newly developed signature involving GOP1, GPX2, SLC7A5, ATF4, and CXCL2 has the potential to serve as a prognostic biomarker. Furthermore, our results provide additional support for the contribution of ferroptosis to DLBCL.PMID:38517778 | DOI:10.3233/CBM-230325 (Source: Cancer Biomarkers)
Source: Cancer Biomarkers - March 22, 2024 Category: Cancer & Oncology Authors: Wuping Li Ruizhe Yao Nasha Yu Weiming Zhang Source Type: research
GINS2 promotes the progression of human HNSCC by altering RRM2 expression
CONCLUSION: Our study reported the role of GINS2 in HNSCC for the first time. The results demonstrated that in HNSCC cells, GINS2 promoted proliferation and inhibited apoptosis via altering RRM2 expression. Therefore, GINS2 might play a carcinogen in HNSCC, and become a specific promising therapeutic target.PMID:38517779 | DOI:10.3233/CBM-230337 (Source: Cancer Biomarkers)
Source: Cancer Biomarkers - March 22, 2024 Category: Cancer & Oncology Authors: Tianxiang Wang Luxi Qian Pingchuan Zhang Mingyu Du Jing Wu Fanyu Peng Chengyun Yao Rong Yin Li Yin Xia He Source Type: research
Curating retrospective multimodal and longitudinal data for community cohorts at risk for lung cancer
CONCLUSION: This work represents a general strategy for high-throughput curation of multi-modal longitudinal cohorts at risk for lung cancer from routinely collected EHRs.PMID:38517780 | DOI:10.3233/CBM-230340 (Source: Cancer Biomarkers)
Source: Cancer Biomarkers - March 22, 2024 Category: Cancer & Oncology Authors: Thomas Z Li Kaiwen Xu Neil C Chada Heidi Chen Michael Knight Sanja Antic Kim L Sandler Fabien Maldonado Bennett A Landman Thomas A Lasko Source Type: research
Deep learning approaches for breast cancer detection in histopathology images: A review
CONCLUSION: This review has presented a thorough account of the current state-of-the-art techniques for detecting breast cancer using histopathology images. The integration of machine learning and deep learning algorithms has demonstrated promising results in accurately identifying breast cancer from histopathology images. The insights gathered from this review can act as a valuable reference for researchers in this field who are developing diagnostic strategies using histopathology images. Overall, the objective of this review is to spark interest among scholars in this complex field and acquaint them with cutting-edge te...
Source: Cancer Biomarkers - March 22, 2024 Category: Cancer & Oncology Authors: Lakshmi Priya C V Biju V G Vinod B R Sivakumar Ramachandran Source Type: research
A novel disulfidptosis-related prognostic gene signature and experimental validation identify ACTN4 as a novel therapeutic target in lung adenocarcinoma
CONCLUSIONS: Our study introduced a prognostic model based on DRGs, which could forecast the prognosis of patients with LUAD. The biomarker ACTN4 exhibits promise for the diagnosis and management of LUAD, given its correlation with tumor immune infiltration and m6A modification.PMID:38517776 | DOI:10.3233/CBM-230276 (Source: Cancer Biomarkers)
Source: Cancer Biomarkers - March 22, 2024 Category: Cancer & Oncology Authors: Kai Xie Bin Wang Pei Pang Guangbin Li Qianqian Yang Chen Fang Wei Jiang Yu Feng Haitao Ma Source Type: research
Multi-omics comprehensive analysis reveals the predictive value of N6-methyladenosine- related genes in prognosis and immune escape of bladder cancer
CONCLUSIONS: These findings revealed the important roles of m6A MRGs in predicting prognosis, TMB status, TP53 mutation, immune functions and immunotherapeutic response in BC.PMID:38517777 | DOI:10.3233/CBM-230286 (Source: Cancer Biomarkers)
Source: Cancer Biomarkers - March 22, 2024 Category: Cancer & Oncology Authors: Yang Liu Zhongqi Pang Jianshe Wang Jinfeng Wang Bo Ji Yidan Xu Jiaxin He Lu Zhang Yansong Han Linkun Shen Wanhai Xu Minghua Ren Source Type: research
Identification of a prognostic signature based on five ferroptosis-related genes for diffuse large B-cell lymphoma
CONCLUSION: The newly developed signature involving GOP1, GPX2, SLC7A5, ATF4, and CXCL2 has the potential to serve as a prognostic biomarker. Furthermore, our results provide additional support for the contribution of ferroptosis to DLBCL.PMID:38517778 | DOI:10.3233/CBM-230325 (Source: Cancer Biomarkers)
Source: Cancer Biomarkers - March 22, 2024 Category: Cancer & Oncology Authors: Wuping Li Ruizhe Yao Nasha Yu Weiming Zhang Source Type: research
GINS2 promotes the progression of human HNSCC by altering RRM2 expression
CONCLUSION: Our study reported the role of GINS2 in HNSCC for the first time. The results demonstrated that in HNSCC cells, GINS2 promoted proliferation and inhibited apoptosis via altering RRM2 expression. Therefore, GINS2 might play a carcinogen in HNSCC, and become a specific promising therapeutic target.PMID:38517779 | DOI:10.3233/CBM-230337 (Source: Cancer Biomarkers)
Source: Cancer Biomarkers - March 22, 2024 Category: Cancer & Oncology Authors: Tianxiang Wang Luxi Qian Pingchuan Zhang Mingyu Du Jing Wu Fanyu Peng Chengyun Yao Rong Yin Li Yin Xia He Source Type: research
Curating retrospective multimodal and longitudinal data for community cohorts at risk for lung cancer
CONCLUSION: This work represents a general strategy for high-throughput curation of multi-modal longitudinal cohorts at risk for lung cancer from routinely collected EHRs.PMID:38517780 | DOI:10.3233/CBM-230340 (Source: Cancer Biomarkers)
Source: Cancer Biomarkers - March 22, 2024 Category: Cancer & Oncology Authors: Thomas Z Li Kaiwen Xu Neil C Chada Heidi Chen Michael Knight Sanja Antic Kim L Sandler Fabien Maldonado Bennett A Landman Thomas A Lasko Source Type: research
Deep learning approaches for breast cancer detection in histopathology images: A review
CONCLUSION: This review has presented a thorough account of the current state-of-the-art techniques for detecting breast cancer using histopathology images. The integration of machine learning and deep learning algorithms has demonstrated promising results in accurately identifying breast cancer from histopathology images. The insights gathered from this review can act as a valuable reference for researchers in this field who are developing diagnostic strategies using histopathology images. Overall, the objective of this review is to spark interest among scholars in this complex field and acquaint them with cutting-edge te...
Source: Cancer Biomarkers - March 22, 2024 Category: Cancer & Oncology Authors: Lakshmi Priya C V Biju V G Vinod B R Sivakumar Ramachandran Source Type: research
A novel disulfidptosis-related prognostic gene signature and experimental validation identify ACTN4 as a novel therapeutic target in lung adenocarcinoma
CONCLUSIONS: Our study introduced a prognostic model based on DRGs, which could forecast the prognosis of patients with LUAD. The biomarker ACTN4 exhibits promise for the diagnosis and management of LUAD, given its correlation with tumor immune infiltration and m6A modification.PMID:38517776 | DOI:10.3233/CBM-230276 (Source: Cancer Biomarkers)
Source: Cancer Biomarkers - March 22, 2024 Category: Cancer & Oncology Authors: Kai Xie Bin Wang Pei Pang Guangbin Li Qianqian Yang Chen Fang Wei Jiang Yu Feng Haitao Ma Source Type: research
