ArticleCancer biology & therapy2015
A functional biological network centered on XRCC3: a new possible marker of chemoradiotherapy resistance in rectal cancer patients.
Article in Cancer biology & therapy, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.
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Who cites it
31 citing papers in PubMed, 1 synthesis or guideline pooled it, 71 citations in OpenAlex.
- An integrative approach for the identification of prognostic and predictive biomarkers in rectal cancer.Oncotarget · 2015Pooled it
- Autophagy Orchestrates Anti-Tumor Immunity to Enhance Chemosensitivity via the FBXW2/C/EBPβ/TIMP-2 Axis in Colorectal Cancer.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- A 13-gene prognostic model developed using machine learning to predict the response to neoadjuvant chemoradiotherapy in rectal carcinoma.Cancer cell international · 2026Article
- The development of an efficient artificial intelligence-based classification approach for colorectal cancer response to radiochemotherapy: deep learning vs. machine learning.Scientific reports · 2025Article
- Identification and validation of a machine learning model of complete response to radiation in rectal cancer reveals immune infiltrate and TGFβ as key predictors.EBioMedicine · 2024Article
- Disulfidptosis-related prognostic signature correlates with immunotherapy response in colorectal cancer.Scientific reports · 2024Article
- Novel biomarkers to predict treatment response and prognosis in locally advanced rectal cancer undergoing neoadjuvant chemoradiotherapy.BMC cancer · 2023Article
- Exploring homologous recombination repair and base excision repair pathway genes for possible diagnostic markers in hematologic malignancies.Molecular genetics and genomics : MGG · 2023Article
- Characterization of the gene signature correlated with favorable response to chemoradiotherapy in rectal cancer: A hypothesis-generating study.Cancer medicine · 2023Article
- New Transcriptomic Biomarkers of 5-Fluorouracil Resistance.International journal of molecular sciences · 2023Article
- Transcriptomic Analyses of Pretreatment Tumor Biopsy Samples, Response to Neoadjuvant Chemoradiotherapy, and Survival in Patients With Advanced Rectal Cancer.JAMA network open · 2023Article
- Comprehensive analysis of transient receptor potential channels-related signature for prognosis, tumor immune microenvironment, and treatment response of colorectal cancer.Frontiers in immunology · 2022Article
- An Immune-Related Gene Signature for Predicting Neoadjuvant Chemoradiotherapy Efficacy in Rectal Carcinoma.Frontiers in immunology · 2022Article
- An immuno-score signature of tumor immune microenvironment predicts clinical outcomes in locally advanced rectal cancer.Frontiers in oncology · 2022Article
- Evaluation and Predictive Factors of Complete Response in Rectal Cancer after Neoadjuvant Chemoradiation Therapy.Medicina (Kaunas, Lithuania) · 2021Review
- Article
- A 41-Gene Pair Signature for Predicting the Pathological Response of Locally Advanced Rectal Cancer to Neoadjuvant Chemoradiation.Frontiers in medicine · 2021Article
- Recurrence Risk of Liver Cancer Post-hepatectomy Using Machine Learning and Study of Correlation With Immune Infiltration.Frontiers in genetics · 2021Article
- Article
- PITPNC1 fuels radioresistance of rectal cancer by inhibiting reactive oxygen species production.Annals of translational medicine · 2020Article
Corrections and comments
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Authors and funding
19 authors at 8 institutions in 5 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Preoperative chemoradiotherapy is widely used to improve local control of disease, sphincter preservation and to improve survival in patients with locally advanced rectal cancer. Patients enrolled in the present study underwent preoperative chemoradiotherapy, followed by surgical excision. Response to chemoradiotherapy was evaluated according to Mandard's Tumor Regression Grade (TRG). TRG 3, 4 and 5 were considered as partial or no response while TRG 1 and 2 as complete response. From pretherapeutic biopsies of 84 locally advanced rectal carcinomas available for the analysis, only 42 of them showed 70% cancer cellularity at least. By determining gene expression profiles, responders and non-responders showed significantly different expression levels for 19 genes (P < 0.001). We fitted a logistic model selected with a stepwise procedure optimizing the Akaike Information Criterion (AIC) and then validated by means of leave one out cross validation (LOOCV, accuracy = 95%). Four genes were retained in the achieved model: ZNF160, XRCC3, HFM1 and ASXL2. Real time PCR confirmed that XRCC3 is overexpressed in responders group and HFM1 and ASXL2 showed a positive trend. In vitro test on colon cancer resistant/susceptible to chemoradioterapy cells, finally prove that XRCC3 deregulation is extensively involved in the chemoresistance mechanisms. Protein-protein interactions (PPI) analysis involving the predictive classifier revealed a network of 45 interacting nodes (proteins) with TRAF6 gene playing a keystone role in the network. The present study confirmed the possibility that gene expression profiling combined with integrative computational biology is useful to predict complete responses to preoperative chemoradiotherapy in patients with advanced rectal cancer.
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