Detalhe da pesquisa
1.
Identification of genetic variations associated with drug resistance in non-small cell lung cancer patients undergoing systemic treatment.
Brief Bioinform
; 22(6)2021 11 05.
Artigo
em Inglês
| MEDLINE | ID: mdl-34013324
2.
Long non-coding RNA (lncRNA) H19 induces hepatic steatosis through activating MLXIPL and mTORC1 networks in hepatocytes.
J Cell Mol Med
; 24(2): 1399-1412, 2020 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-31809000
3.
A seven-DNA methylation signature as a novel prognostic biomarker in breast cancer.
J Cell Biochem
; 121(3): 2385-2393, 2020 03.
Artigo
em Inglês
| MEDLINE | ID: mdl-31646666
4.
Identification of MFI2-AS1, a Novel Pivotal lncRNA for Prognosis of Stage III/IV Colorectal Cancer.
Dig Dis Sci
; 65(12): 3538-3550, 2020 12.
Artigo
em Inglês
| MEDLINE | ID: mdl-31960204
5.
Identification of functional lncRNAs in gastric cancer by integrative analysis of GEO and TCGA data.
J Cell Biochem
; 120(10): 17898-17911, 2019 10.
Artigo
em Inglês
| MEDLINE | ID: mdl-31135068
6.
Identification of target genes in cardiomyopathy with fibrosis and cardiac remodeling.
J Biomed Sci
; 25(1): 63, 2018 Aug 16.
Artigo
em Inglês
| MEDLINE | ID: mdl-30115125
7.
Magnetic resonance imaging and deoxyribonucleic acid methylation-based radiogenomic models for survival risk stratification of glioblastoma.
Med Biol Eng Comput
; 62(3): 853-864, 2024 Mar.
Artigo
em Inglês
| MEDLINE | ID: mdl-38057447
8.
Ferroptosis-associated lncRNA prognostic signature predicts prognosis and immune response in clear cell renal cell carcinoma.
Sci Rep
; 13(1): 2114, 2023 02 06.
Artigo
em Inglês
| MEDLINE | ID: mdl-36747047
9.
Classification prediction of early pulmonary nodes based on weighted gene correlation network analysis and machine learning.
J Cancer Res Clin Oncol
; 149(7): 3915-3924, 2023 Jul.
Artigo
em Inglês
| MEDLINE | ID: mdl-36018512
10.
The clonal expression genes associated with poor prognosis of liver cancer.
Front Genet
; 13: 808273, 2022.
Artigo
em Inglês
| MEDLINE | ID: mdl-36092878
11.
Integrated bioinformatics analysis to identify the key gene associated with metastatic clear cell renal cell carcinoma.
Med Oncol
; 39(9): 128, 2022 Jun 18.
Artigo
em Inglês
| MEDLINE | ID: mdl-35716215
12.
Pan-Cancer Analysis Reveals the Signature of TMC Family of Genes as a Promising Biomarker for Prognosis and Immunotherapeutic Response.
Front Immunol
; 12: 715508, 2021.
Artigo
em Inglês
| MEDLINE | ID: mdl-34899684
13.
Identifying CpG methylation signature as a promising biomarker for recurrence and immunotherapy in non-small-cell lung carcinoma.
Aging (Albany NY)
; 12(14): 14649-14676, 2020 07 28.
Artigo
em Inglês
| MEDLINE | ID: mdl-32723974
14.
ARHGEF38 as a novel biomarker to predict aggressive prostate cancer.
Genes Dis
; 7(2): 217-224, 2020 Jun.
Artigo
em Inglês
| MEDLINE | ID: mdl-32215291
15.
Multi-omics analysis reveals epithelial-mesenchymal transition-related gene FOXM1 as a novel prognostic biomarker in clear cell renal carcinoma.
Aging (Albany NY)
; 11(22): 10316-10337, 2019 11 19.
Artigo
em Inglês
| MEDLINE | ID: mdl-31743108
16.
SLCO4C1 promoter methylation is a potential biomarker for prognosis associated with biochemical recurrence-free survival after radical prostatectomy.
Clin Epigenetics
; 11(1): 99, 2019 07 09.
Artigo
em Inglês
| MEDLINE | ID: mdl-31288850
17.
Transmembrane Channel-Like 5 (TMC5) promotes prostate cancer cell proliferation through cell cycle regulation.
Biochimie
; 165: 115-122, 2019 Oct.
Artigo
em Inglês
| MEDLINE | ID: mdl-31356847
18.
FOXS1 is regulated by GLI1 and miR-125a-5p and promotes cell proliferation and EMT in gastric cancer.
Sci Rep
; 9(1): 5281, 2019 03 27.
Artigo
em Inglês
| MEDLINE | ID: mdl-30918291
19.
A panel of 7 prognosis-related long non-coding RNAs to improve platinum-based chemoresistance prediction in ovarian cancer.
Int J Oncol
; 53(2): 866-876, 2018 Aug.
Artigo
em Inglês
| MEDLINE | ID: mdl-29749482
20.
ZNF154 is a promising diagnosis biomarker and predicts biochemical recurrence in prostate cancer.
Gene
; 675: 136-143, 2018 Oct 30.
Artigo
em Inglês
| MEDLINE | ID: mdl-29966681