Results 191 to 200 of about 146,987 (295)

Machine learning-based prediction of glioma grading. [PDF]

PLoS One
Liu S, Xie Y, Gong X, He J, Zou W.
europepmc   +1 more source

PRDM1+ Malignant Cells Mediate an Immunosuppressive Landscape and Resistance to Neoadjuvant Chemoradiotherapy and Immunotherapy in Esophageal Squamous Cell Carcinoma

Advanced Science, EarlyView.
Integrated scRNA‐seq, scTCR‐seq analysis, and functional assays identify PRDM1+ malignant epithelial cells with hyper lipid peroxidation characteristics that demonstrate reduced responsiveness to the nICRT treatment. Principal factor PRDM1 activates cysteine metabolism genes to modulate lipid peroxidation (an intrinsic cellular pathway related to ...
Dijian Shen, Rui Li, Yong She, Xuefei Liu, Yuanyang Huang, Yongling Ji, Keying Chen, Zhengbo Song, Runzhe Chen, Xuan Li, Qi Zhao, Qixun Chen, Ming Chen   +12 more
wiley   +1 more source

Identifying and validating SMARCAL1 as a prognostic and immunotherapy predictive biomarker for NSCLC. [PDF]

Discov Oncol
Pan Z, Hu Z, Zhang Y, Jiao Y, Chai R, Zhang W, Zhang J, Dong Y.   +7 more
europepmc   +1 more source

Osmotic Tension Asymmetry Drives Electrotactic Migration via PDLIM7‐Polarized Microfilament Coordination in Breast Cancer Cells

Advanced Science, EarlyView.
This study establishes an electric field‐induced directional migration model using fluorescence tension probes to visualize microfilament forces and intracellular osmotic pressure dynamics in the electrotactic migration of breast cancer cells. This model delineates how electromechanical interactions among membrane potential, ion channels, OP, traction ...
Ling Zhu, Zihui Zheng, Wang Li, Chenyi Shou, Ying Zhao, Lijun Zhang, Xiaoli Shi, Yunfeng Hu, Huanhuan Zhao, Huiwen Wu, Jun Guo   +10 more
wiley   +1 more source

Putative Prognostic Value of miR-15a and miR-221 in Cervical Squamous Cell Carcinoma and Endocervical Adenocarcinoma. [PDF]

Cancer Diagn Progn
Zahraa A.
europepmc   +1 more source

Candidates for tumor PAI: recurrent SCNA loci from TCGA that overlap cancer-associated SNPs (NHGRI GWAS Catalog) identified in matching tumor types.

, 2015
Jonathan Adam, M. Walsh Kyle, M. Hansen Helen, A. Endicott Alyson, K. Wiencke John, Metayer Catherine, Lavania Joseph   +6 more
openalex   +2 more sources

Decoding Triphenotypic Neutrophils in Cervical Cancer Evolution and Targeting SPP1+/GBP1+/ELOVL5+ Tumor‐Associated Neutrophils to Sensitize Immunotherapy

Advanced Science, EarlyView.
The functional schematic diagram of tumor associated neutrophils. Abstract Enhancing cervical cancer (CC) immunotherapy requires deciphering the heterogeneous tumor immune microenvironment (TIME), particularly neutrophil phenotypic dynamics. Here, 1) we collected 543 CC cases to find that patients with elevated neutrophil levels have a higher incidence
Xingyu Chang, Xinyu Qu, Tingting Ren, Tong Wu, Weiyong Gu, Jingxin Ding, Keqin Hua, Junjun Qiu   +7 more
wiley   +1 more source

Ephrin Receptors and Ephrin Ligands in Uveal Melanoma: A Big Data Analysis Using Web Resources. [PDF]

Int J Mol Sci
Mandrakis G, Flessa CM, Keratsa P, Zaravinos A, Theocharis S, Sykaras AG.   +5 more
europepmc   +1 more source

DNMT2‐m5C‐ACLY Axis Promotes Lenvatinib Resistance in Hepatocellular Carcinoma Through Histone Acetylation‐Mediated Notch Pathway

Advanced Science, EarlyView.
Lenvatinib resistance poses a major challenge in advanced hepatocellular carcinoma (HCC). This study reveals that DNMT2 upregulation is a key driver, which stabilizes ACLY mRNA via m5C modification and activates the Notch signaling pathway. Crucially, combining ACLY inhibitors with lenvatinib overcomes resistance and suppresses tumors, offering a ...
Shiguang Yang, Jie Li, Shengwei Mao, Xuhui Zhao, Douwaner Liu, Jiafeng Chen, Jialu Fu, Yichao Bu, Xiaoling Wu, Shaoqing Liu, Qifeng Yu, Qiongzhu Dong, Zheng Tang, Yuan Fang, Yinghong Shi   +14 more
wiley   +1 more source

Comparative Transcriptomic Analysis Identifies Predictive Biomarkers of Pathological Complete Response in Triple-negative Breast Cancer. [PDF]

Cancer Genomics Proteomics
Chen FM, Li CL, Pan MR, Huang YC, Huang LJ, Moi SH, Chang SJ, Yang PF, Kao CN, Kan JY, Ko LK, Takahashi H, Kuo CY, Shih SL, Hou MF, Lin YH, Luo CW.   +16 more
europepmc   +1 more source