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Annals of Surgical Oncology|February 20, 2026
The Role of Surgery in the Management of Intestinal Diffuse Large B-Cell Lymphoma (DLBCL): A Propensity Score-Matched AnalysisKefan Dai, Yue Li, Di Fu, et al.
Scientific Reports|August 29, 2024
Investigating the role of senescence biomarkers in colorectal cancer heterogeneity by bulk and single-cell RNA sequencingChengsheng Ding, Ximo Xu, Xian Zhang, et al.
Bioscience Reports|January 21, 2020
Prefoldin subunits (PFDN1-6) serve as poor prognostic markers in gastric cancerGaliya Yesseyeva, Batuer Aikemu, Hiju Hong, et al.
Molecular Medicine Reports|November 11, 2020
Co‑expression network analysis identified specific miRNAs and genes in association with slow‑transit constipationChaoran Yu, Lu Zang, Bo Feng, et al.
American Journal of Cancer Research|September 14, 2018
Upregulation of C/EBPα contributes to colorectal cancer growth, metastasis and indicates poor survival outcomeLan Mi, Kai Hu, Xianzi Wen, et al.
International Journal of Biological Sciences|May 29, 2026
PSMC5 Orchestrates an Immunosuppressive Niche and Metastasis in Colorectal Cancer via SMURF1-Mediated K11-Linked Ubiquitination of METTL14Yi Zhang, Xiao Yang, Hua Zhong, et al.
Journal of Clinical Oncology : Official Journal of the American Society of Clinical Oncology|August 27, 2024
Extent of Lymphadenectomy for Surgical Management of Right-Sided Colon Cancer: The Randomized Phase III RELARC TrialJunyang Lu, Jiadi Xing, Lu Zang, et al.
International Journal of Clinical Oncology|October 7, 2025
FLOT vs DOS neoadjuvant chemotherapy in locally advanced gastric cancer: propensity score analysisLu-Yang Zhang, Sen Zhang, Xuan Zhao, et al.
Asian Pacific Journal of Cancer Prevention : APJCP|April 11, 2014
The NAD(P)H: quinine oxidoreductase 1 (NQO1) gene 609 C>T polymorphism is associated with gastric cancer risk: evidence from a case-control study and a meta-analysisWei-Guo Hu, Jia-Jia Hu, Wei Cai, et al.
Analytical and Bioanalytical Chemistry|September 25, 2024
Raman fiber-optic probe for rapid diagnosis of gastric and esophageal tumors with machine learning analysis or similarity assessments: a comparative studyShiyan Fang, Pei Xu, Siyi Wu, et al.
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