Open access

Molecular subtyping of colorectal cancer based on aging-related gene network perturbation analysis and functional validation of MAP1B

Wu Ning Shuai-Xi Yang Nan Qiao Lei Zhou Zong-Ze Li Lin Zhang Zhe Zhang

Aug 2026 · Translational Oncology · Vol 72, pp. 102998 · 0 citations · 32 references

Medicine

TL;DR

Ageing-gene network perturbation defines three colorectal cancer subtypes and silencing MAP1B curbs invasion and migration and shrinks mouse tumors.

Abstract

Highlights • Aging-gene network perturbation defines three colorectal cancer subtypes.• Stromal-invasive and lipid-driven subtypes fare worse than the proliferative one.• MAP1B ranks first across six cohorts and rises with stage and metastasis.• Silencing MAP1B curbs invasion and migration and shrinks mouse tumors.• MAP1B-high tumors favor dasatinib, which adds to the effect of MAP1B loss.

DOI PubMed Semantic Scholar

Read PDF

Similar papers

Open access Jul 2026

Centrosome-related gene SPHK1 drives bladder cancer progression and therapeutic vulnerability

Highlights • The CRSS model effectively stratifies BLCA patients into high- and low-risk groups and predicts bladder cancer survival.• CRSS reveals immune infiltration patterns and therapy sensitivity.• Machine learning combined with Mendelian randomization identifies key CRGs.• SPHK1 drives proliferation and migration...

Chengyuan Dong, Zhou Fang, Yiling Han et al. · Translational Oncology · 0 citations

Open access Aug 2026

Integration of single-cell transcriptomics and genomic mutation analysis identifies an immunotherapy-resistant tumor subcluster and validates ARNTL2 as a malignant driver in lung adenocarcinoma

Highlights • Single-cell sequencing reveals resistance-linked malignant subcluster in LUAD.• Cluster 2 shows hyperproliferative reprogramming with KRT17, S100A2, CST6 upregulation.• CoxBoost + survivalSVM model achieves optimal C-index of 0.686 across seven cohorts.• Low-risk patients exhibit greater immune infiltratio...

Z. Qiu, Hui Zhao, Qiong Lyu et al. · Translational Oncology · 0 citations

Open access Aug 2026

Integrative single-cell sequencing and machine learning analyses identify chronic inflammation and cancer-associated fibroblast subsets as drivers of adverse outcomes in ovarian cancer

Highlights • Single-cell analysis identifies M8 fibroblast subcluster as dominant post-NACT population linked to ovarian cancer chemo-resistance.• NHP2 shows high diagnostic value (AUC=0.758) and predicts poor survival, driving ovarian cancer progression.• NHP2 knockdown suppresses proliferation, migration and invasion...

Mingqin Kuang, Chang-Mei Shen, Chun-Ping Yang et al. · Translational Oncology · 0 citations

Open access Aug 2026

TMEM176B orchestrates intratumoral hierarchy and immunosuppression in hepatocellular carcinoma: Insights from single-cell transcriptomics

Highlights • Single-cell landscape:High-resolution mapping of 52,384 cells uncovers hierarchical intra-tumor heterogeneity in HCC.• Key molecule discovery:TMEM176B is identified as the link between tumor malignancy hierarchy and immune remodeling.• Poor prognosis marker: TMEM176B low expression correlates with reduced...

Hong Chen, Jian-Feng Gong, De-Ying He et al. · Translational Oncology · 0 citations

Open access Aug 2026

Integrating single-cell and bulk RNA data to explore the prognostic significance of LIM domain family genes in colorectal cancer and unveil their immune landscape

Highlights • This study revealed that cells with high LIM scores were predominantly fibroblasts.• A risk model constructed from nine LIM domain family signature genes (CRYAB, RGS16, CSRP2, RCAN2, TPM1, EGFL7, PLS3, PDGFRA, and PLAU) accurately predicted the prognosis of CRC patients.• Erlotinib, fulvestrant, EPZ5676, a...

Xinyu Zhao, Yili Shao, Huang Huang et al. · Translational Oncology · 0 citations

Open access Jul 2026

RGS Family Remodeling in Breast Cancer: A Meta‐Analysis and Multi‐Omics Profiling of Prognostic Biomarkers

Breast cancer (BC) is a heterogeneous malignancy with diverse molecular subtypes and variable clinical outcomes. Despite diagnostic and therapeutic advances, recurrence and metastasis contribute to poor prognosis in subsets of patients. Regulators of G protein signaling (RGS) proteins, negative modulators of G protein‐...

Zohreh Mirzaei, Madiheh Mazaheri Moghaddam, Tahereh Barati et al. · Cancer Medicine · 0 citations