Results 121 to 130 of about 1,487 (157)

Integrating bioinformatic analyses and experimental validation of disulfidptosis-related genes and TMX4 in melanoma progression. [PDF]

Cancer Cell Int
Yi Y, Tao R, Shi Z, Chen L, Zhu Z, Wu M.
europepmc   +1 more source

Study on the differential expression of disulfidptosis-related genes and their association with immune regulation in patients with diabetic retinopathy. [PDF]

Sci Rep
Hao Y, Zhang XX, Wang XY, Zhang JT, Guo LF, He HQ, Ying LQ, Xian SY, Liu H, Lu QK.   +9 more
europepmc   +1 more source

Mechanistic insights into disulfidptosis in cancer and therapeutic opportunities

Discover Oncology
Negar Hemmati, Sajjad Mozaffari, Mahdieh Anoush, Bahman Abedi Kiasari   +3 more
openaire   +1 more source

A context-dependent METTL1-m7G-SLC7A11 axis links metabolic stress to epithelial fate in ulcerative colitis. [PDF]

Int J Biol Sci
Yang L, Sun Q, Jiang Z, Yao B, Yang C, Liu G, Yuan L.   +6 more
europepmc   +1 more source

Machine learning screening for disulfidptosis genes-associated immunosuppression status in osteosarcoma and rhabdomyosarcoma. [PDF]

Transl Cancer Res
Yu L, Lin F.
europepmc   +1 more source

Disulfidptosis-related genes signature predicts prognosis and immune microenvironment in colon cancer. [PDF]

Front Mol Biosci
Jiang W, Yang H, Li R, Li Y, Xia S.
europepmc   +1 more source

TFAP2D drives neuroblastoma progression: a disulfidptosis-fatty acid metabolism-based molecular subtyping and prognostic model. [PDF]

Transl Pediatr
Li X, Gong B, Qu T, Jin Y, Chen C, Zhao Q.   +5 more
europepmc   +1 more source

Disulfidptosis-based cancer therapy: Opportunity and challenge

Genes & Diseases
Bo Wang, Zihui Liu, Junjie Li, Jiaxing Xu, Yamei Guo, Jingxue Zhang, Ti Chu, Zhifen Feng, Qiying Jiang, Dongdong Wu   +9 more
openaire   +1 more source

Exploring the role of disulfidptosis‑related signatures in immune microenvironment, prognosis and therapeutic strategies of cholangiocarcinoma. [PDF]

Oncol Rep
Chen Y, Wu J, Zhu D, Jiang L, Wang J, Zhang D, He W.   +6 more
europepmc   +1 more source

Machine learning-driven transcriptomic and single-cell profiling of programed cell death patterns in colon cancer. [PDF]

Sci Prog
Du JO, Huang QK, Sun XC, Hu SK, Lin TS.
europepmc   +1 more source