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Background: Tumor regression grade (TRG) and histopathological growth pattern (HGP) reflect the response of colorectal liver metastases (CRLM) to neoadjuvant therapy (NAT) from the perspectives of the tumor and its microenvironment, respectively. Based on these two indicators, this study aimed to develop a prognostic index for CRLM undergoing surgery after NAT.
Materials And Methods: 237 patients who underwent curative-intent resection following NAT from 2012 to 2022 were selected. Correlations between HGP and TRG were assessed. Cox regression analyses were employed to determine the optimal cut-off point for constructing the Tumor-Boundary Response Index (TBRI). Kaplan-Meier analyses of overall survival (OS), disease-free survival (DFS) and hepatic relapse-free survival (hRFS) were used to evaluate the prognostic value. The predictive ability of TBRI, Fong's clinical risk score (CRS) and Genetic And Morphological Evaluation (GAME) score was compared by time-dependent receiver operating characteristic (ROC) analysis. Calibration plot was utilized to assess the goodness of fit.
Results: Desmoplastic HGP (dHGP) exhibited an inverse correlation with TRG in lesions. TBRI stratified patients into four tiers based on whether HGP is predominant desmoplastic (>50 %) and whether TRG is ≤ 3, showing significant prognostic value in OS, DFS and hRFS (median OS for TBRI 1-4: 78.6, 42.6, 27.8 and 22.5, p < 0.001; median DFS for TBRI 1-4: 22.4, 12.4, 10.9 and 6.5 months, p < 0.001; median hRFS for TBRI 1-4: 29.2, 12.9, 10.9, 6.8, p < 0.001). Additionally, TBRI surpassed CRS and GAME score with superior discriminatory power and displayed exceptional consistency.
Conclusions: TBRI demonstrated a promising ability to predict the postoperative survival of CRLM patients receiving NAT.
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http://dx.doi.org/10.1016/j.ejso.2025.110291 | DOI Listing |
Neoplasia
October 2025
Institute of Surgical Pathology, Medical Center, Faculty of Medicine, University of Freiburg, Freiburg, Germany; German Cancer Consortium (DKTK) and German Cancer Research Center (DKFZ), Heidelberg, Germany. Electronic address:
Von Hippel-Lindau (VHL) disease describes a hereditary tumor predisposition syndrome, caused by germline mutations in the VHL tumor suppressor gene, resulting in the functional loss of the VHL protein (pVHL). pVHL loss translates into a pseudo-hypoxic state that drives clear cell renal cell carcinoma (ccRCC) development. ccRCC tumors frequently form a pseudocapsule (PC) at the tumor boundary.
View Article and Find Full Text PDFSci Data
July 2025
School of Biomedical Engineering, Dalhousie University, Halifax, Canada.
Glioblastoma multiforme (GBM) is the most aggressive type of brain cancer, making effective treatments essential to improve patient survival. To advance the understanding of GBM and develop more effective therapies, preclinical studies commonly use mouse models due to their genetic and physiological similarities to humans. In particular, the GL261 mouse glioma model is employed for its reproducible tumor growth and ability to mimic key aspects of human gliomas.
View Article and Find Full Text PDFGenes (Basel)
July 2025
College of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China.
Background/objectives: Cell-cell communication (CCC) is a critical process within the tumor microenvironment, governing regulatory interactions between cancer cells and other cellular subpopulations. Aiming to improve the accuracy and completeness of intercellular gene-regulatory network inference, we constructed a novel spatial-resolved gene-regulatory network framework (spGRN).
Methods: Firstly, the spatial multi-omics data of colorectal cancer (CRC) patients were analyzed.
Eur J Surg Oncol
June 2025
Hepatobiliary Surgery, Department of General Surgery, Huashan Hospital & Cancer Metastasis Institute, Fudan University, Shanghai, China. Electronic address:
Background: Tumor regression grade (TRG) and histopathological growth pattern (HGP) reflect the response of colorectal liver metastases (CRLM) to neoadjuvant therapy (NAT) from the perspectives of the tumor and its microenvironment, respectively. Based on these two indicators, this study aimed to develop a prognostic index for CRLM undergoing surgery after NAT.
Materials And Methods: 237 patients who underwent curative-intent resection following NAT from 2012 to 2022 were selected.
NPJ Precis Oncol
June 2025
Center for Molecular Medicine Cologne (CMMC), Faculty of Medicine and University Hospital Cologne, University of Cologne, Köln, Germany.
Predicting cancer patient disease progression is a key step towards personalized medicine and secondary prevention. Risk stratification systems based on clinico-pathological criteria aim to identify high-risk patients, but accurate predictions remain challenging. Deep learning models present new opportunities for patient risk prediction, yet their interpretability has been largely unexplored.
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