Results 161 to 170 of about 12,929 (204)

Identification of RNA processing-related gene-based bladder cancer subtypes for prognosis and immune landscape assessment. [PDF]

Transl Androl Urol
Liu Q, Zhou P, Tian D.
europepmc   +1 more source

Targeting SRC to mediate solasonine's anti-cancer activity in hepatocellular carcinoma and its potential for multi-cancer therapy. [PDF]

Front Oncol
Liu Z, Xia XY, Yang JY, Li KN, Hou JL.
europepmc   +1 more source

KNTC1 initiates a KNTC1/E2F8/MYC positive feedback loop to facilitate tumorigenesis and enhance chemoresistance in bladder cancer. [PDF]

J Exp Clin Cancer Res
Chen K, Su H, Pei F, Chen X, Xu M, Chai F, Luo Y.   +6 more
europepmc   +1 more source

Analysis of the molecular mechanism underlying di(2-ethylhexyl) phthalate-induced bladder carcinogenesis via network toxicology and molecular docking approaches: An observational study. [PDF]

Medicine (Baltimore)
Jiang M, Sun C, Wang B, Huang Q, Hu Q, Che X.   +5 more
europepmc   +1 more source

Targeting neuropilin-1 and neutralizing interleukin-6 inhibits cancer stem cell formation in bladder cancer cells. [PDF]

J Transl Med
Weng HW, Ting HK, Wang HH, Peng TJ, Tang SJ, Sun KH.   +5 more
europepmc   +1 more source

MTHFD1L in muscle invasive bladder cancer: a multi-cohort study on prognosis and therapeutic response. [PDF]

World J Surg Oncol
Peng S, Liu Y, Huang P, Liu Q, Zhang L, Hsu CY, Zeng Y, Lu J, Zhao H, Cai C.   +9 more
europepmc   +1 more source

Transcriptome and single-cell RNA sequencing analysis with 101 machine learning combinations and experimental verification reveals the mechanism of action of mannose metabolism in bladder cancer. [PDF]

Front Immunol
Li A, Zhao K, Wang T, Shi G.
europepmc   +1 more source

Single-cell transcriptomics identifies fibroblast associated immune heterogeneity and prognostic signatures in bladder cancer. [PDF]

Sci Rep
Tang X, Liu L, Gao M, Duan P, Li S, Yuan Z, Xia Q, Xi L, Tan Y.   +8 more
europepmc   +1 more source

Identify the PANoptosis signature and prognostic model via a multimachine-learning computational framework for bladder urothelial carcinoma. [PDF]

Cancer Cell Int
Xin S, Li R, Zhao L, Su J, Li G, Qin W, Zhang Z, Wang C, Zhu Y, Feng L, Sun X, Jin L, Zhai T, Mei W, Gao Z.   +14 more
europepmc   +1 more source

Non-invasive evaluation of muscle invasion and survival prognosis in bladder cancer using enhanced CT-based deep learning radiomics: a multi-center real-world cohort study. [PDF]

Mil Med Res
He YB, Hu J, Liu Z, Xiao ZC, Liu JH, Liang HS, Deng WZ, Li ZW, Zhang J, Long JQ, Gao N, Huang B, Guo X, Ou ZY, Chen JB, Liu PH, Chen MF, Li HH, Wang RZ, Guan X, Tong SY, Li YL, He W, Zhao YH, Cai ZY, Gan Y, Zhao C, Cui Y, Dai YQ, Cai Y, Nie ZY, Zhou WM, Zhou BH, Hu MH, Fan BY, Deng DS, Zu XB.   +36 more
europepmc   +1 more source