164 related articles for article (PubMed ID: 38504988)
1. Integrating PANoptosis insights to enhance breast cancer prognosis and therapeutic decision-making.
Wang S; Li Z; Hou J; Li X; Ni Q; Wang T
Front Immunol; 2024; 15():1359204. PubMed ID: 38504988
[TBL] [Abstract][Full Text] [Related]
2. Enhancing breast cancer outcomes with machine learning-driven glutamine metabolic reprogramming signature.
Li X; Li X; Yang B; Sun S; Wang S; Yu F; Wang T
Front Immunol; 2024; 15():1369289. PubMed ID: 38756785
[TBL] [Abstract][Full Text] [Related]
3. PANoptosis-related signature in melanoma: Transcriptomic mapping and clinical prognostication.
Xie J; Zhang P; Xu X; Zhou X; Zhao S; Zhang M; Qi M
Environ Toxicol; 2024 May; 39(5):2545-2559. PubMed ID: 38189554
[TBL] [Abstract][Full Text] [Related]
4. Machine learning reveals PANoptosis as a potential reporter and prognostic revealer of tumour microenvironment in lung adenocarcinoma.
Han C; Danzeng Q; Li L; Bai S; Zheng C
J Gene Med; 2024 Jan; 26(1):e3599. PubMed ID: 37800684
[TBL] [Abstract][Full Text] [Related]
5. Exploring PANoptosis in breast cancer based on scRNA-seq and bulk-seq.
He P; Ma Y; Wu Y; Zhou Q; Du H
Front Endocrinol (Lausanne); 2023; 14():1164930. PubMed ID: 37455906
[TBL] [Abstract][Full Text] [Related]
6. Identification of molecular subtypes based on PANoptosis-related genes and construction of a signature for predicting the prognosis and response to immunotherapy response in hepatocellular carcinoma.
Zhu J; Huang Q; Peng X; Luo C; Liu Z; Liu D; Yuan H; Yuan R; Cheng X
Front Immunol; 2023; 14():1218661. PubMed ID: 37662906
[TBL] [Abstract][Full Text] [Related]
7. Systematic analysis of PANoptosis-related genes identifies XIAP as a functional oncogene in breast cancer.
Qi Q; Zhu M; Li P; Mi Q; Xie Y; Li J; Wang C
Gene; 2024 Jun; 912():148355. PubMed ID: 38467314
[TBL] [Abstract][Full Text] [Related]
8. Expression patterns and immunological characterization of PANoptosis -related genes in gastric cancer.
Qing X; Jiang J; Yuan C; Xie K; Wang K
Front Endocrinol (Lausanne); 2023; 14():1222072. PubMed ID: 37664853
[TBL] [Abstract][Full Text] [Related]
9. A novel PANoptosis-related long non-coding RNA index to predict prognosis, immune microenvironment and personalised treatment in hepatocellular carcinoma.
Wang L; Wan P; Xu Z
Aging (Albany NY); 2024 Jan; 16(3):2410-2437. PubMed ID: 38284890
[TBL] [Abstract][Full Text] [Related]
10. PANoptosis: a potential new target for programmed cell death in breast cancer treatment and prognosis.
Liu X; Miao M; Sun J; Wu J; Qin X
Apoptosis; 2024 Apr; 29(3-4):277-288. PubMed ID: 38001342
[TBL] [Abstract][Full Text] [Related]
11. Construction of a machine learning-based artificial neural network for discriminating PANoptosis related subgroups to predict prognosis in low-grade gliomas.
Chen G; He Z; Jiang W; Li L; Luo B; Wang X; Zheng X
Sci Rep; 2022 Dec; 12(1):22119. PubMed ID: 36543888
[TBL] [Abstract][Full Text] [Related]
12. A comprehensive analysis of PANoptosome to prognosis and immunotherapy response in pan-cancer.
Zhuang L; Sun Q; Huang S; Hu L; Chen Q
Sci Rep; 2023 Mar; 13(1):3877. PubMed ID: 36890219
[TBL] [Abstract][Full Text] [Related]
13. Development of a machine learning-based radiomics signature for estimating breast cancer TME phenotypes and predicting anti-PD-1/PD-L1 immunotherapy response.
Han X; Guo Y; Ye H; Chen Z; Hu Q; Wei X; Liu Z; Liang C
Breast Cancer Res; 2024 Jan; 26(1):18. PubMed ID: 38287356
[TBL] [Abstract][Full Text] [Related]
14. PANoptosis-related long non-coding RNA signature to predict the prognosis and immune landscapes of pancreatic adenocarcinoma.
Zhao Q; Ye Y; Zhang Q; Wu Y; Wang G; Gui Z; Zhang M
Biochem Biophys Rep; 2024 Mar; 37():101600. PubMed ID: 38371527
[TBL] [Abstract][Full Text] [Related]
15. Robust analysis of a novel PANoptosis-related prognostic gene signature model for hepatocellular carcinoma immune infiltration and therapeutic response.
Wei Y; Lan C; Yang C; Liao X; Zhou X; Huang X; Xie H; Zhu G; Peng T
Sci Rep; 2023 Sep; 13(1):14519. PubMed ID: 37666920
[TBL] [Abstract][Full Text] [Related]
16. Characterization of PANoptosis patterns predicts survival and immunotherapy response in gastric cancer.
Pan H; Pan J; Li P; Gao J
Clin Immunol; 2022 May; 238():109019. PubMed ID: 35470064
[TBL] [Abstract][Full Text] [Related]
17. PANoptosis-based molecular clustering and prognostic signature predicts patient survival and immune landscape in colon cancer.
Wang X; Sun R; Chan S; Meng L; Xu Y; Zuo X; Wang Z; Hu X; Han Q; Dai L; Bai T; Yu Z; Wang M; Yang W; Zhang H; Chen W
Front Genet; 2022; 13():955355. PubMed ID: 36186438
[TBL] [Abstract][Full Text] [Related]
18. Machine learning-derived identification of prognostic signature for improving prognosis and drug response in patients with ovarian cancer.
Huan Q; Cheng S; Ma HF; Zhao M; Chen Y; Yuan X
J Cell Mol Med; 2024 Jan; 28(1):e18021. PubMed ID: 37994489
[TBL] [Abstract][Full Text] [Related]
19. Novel secretome-to-transcriptome integrated or secreto-transcriptomic approach to reveal liquid biopsy biomarkers for predicting individualized prognosis of breast cancer patients.
Ankney JA; Xie L; Wrobel JA; Wang L; Chen X
BMC Med Genomics; 2019 May; 12(1):78. PubMed ID: 31146747
[TBL] [Abstract][Full Text] [Related]
20. Machine Learning-Based Integrated Analysis of PANoptosis Patterns in Acute Myeloid Leukemia Reveals a Signature Predicting Survival and Immunotherapy.
Tang L; Zhang W; Zhang Y; Deng W; Zhao M
Int J Clin Pract; 2024; 2024():5113990. PubMed ID: 38322112
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
