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 of bladder cancer cells.
Heterogeneity in cancer‐associated fibroblast (CAF) infiltration within the tumor microenvironment is closely associated with gastric cancer progression and immune evasion; however, precise CAF‐related diagnostic markers and actionable therapeutic targets remain scarce.
Si-Hui Hou, Meng-Zhu Sang, Yan Wang et al.· Journal of Gastroenterology...· 0 citations
Single-cell analysis identifies M8 fibroblast subcluster as dominant post-NACT population linked to ovarian cancer chemo-resistance and NHP2 knockdown suppresses proliferation, migration and invasion of ovarian cancer cells in vitro.
Mingqin Kuang, Chang-Mei Shen, Chun-Ping Yang et al.· Translational Oncology· 0 citations
Highlights • Constructed a two-gene (ITM2A/TCL1A) prognostic model linking adaptive immunity and radiosensitivity in cervical cancer.• Identified ITM2A and TCL1A as radiosensitizers; their downregulation promotes radioresistance.• Risk groups differ in immune infiltration, chemokine/TCR signaling, and immunotherapy res...
