143 related articles for article (PubMed ID: 37773865)
1. Identification of common genetic features and pathways involved in pulmonary lymphangioleiomyomatosis and ER-positive breast cancer.
Yang L; Xiao Y; Ren S
Medicine (Baltimore); 2023 Sep; 102(39):e34810. PubMed ID: 37773865
[TBL] [Abstract][Full Text] [Related]
2. Estrogen receptor 1 and progesterone receptor are distinct biomarkers and prognostic factors in estrogen receptor-positive breast cancer: Evidence from a bioinformatic analysis.
Wu JR; Zhao Y; Zhou XP; Qin X
Biomed Pharmacother; 2020 Jan; 121():109647. PubMed ID: 31733575
[TBL] [Abstract][Full Text] [Related]
3. Identification of crucial hub genes and potential molecular mechanisms in breast cancer by integrated bioinformatics analysis and experimental validation.
Yadav DK; Sharma A; Dube P; Shaikh S; Vaghasia H; Rawal RM
Comput Biol Med; 2022 Oct; 149():106036. PubMed ID: 36096037
[TBL] [Abstract][Full Text] [Related]
4. Identification of breast cancer hub genes and analysis of prognostic values using integrated bioinformatics analysis.
Fang E; Zhang X
Cancer Biomark; 2017 Dec; 21(1):373-381. PubMed ID: 29081411
[TBL] [Abstract][Full Text] [Related]
5. Identification of novel biomarkers in breast cancer via integrated bioinformatics analysis and experimental validation.
Wang N; Zhang H; Li D; Jiang C; Zhao H; Teng Y
Bioengineered; 2021 Dec; 12(2):12431-12446. PubMed ID: 34895070
[TBL] [Abstract][Full Text] [Related]
6. Identification of the key pathways and genes involved in HER2-positive breast cancer with brain metastasis.
Lu X; Gao C; Liu C; Zhuang J; Su P; Li H; Wang X; Sun C
Pathol Res Pract; 2019 Aug; 215(8):152475. PubMed ID: 31178227
[TBL] [Abstract][Full Text] [Related]
7. Detection of critical genes associated with poor prognosis in breast cancer via integrated bioinformatics analyses.
Liu D; Zhang J; Li L; Wang Q; Lan Y
J BUON; 2020; 25(6):2537-2545. PubMed ID: 33455094
[TBL] [Abstract][Full Text] [Related]
8. Molecular mechanisms associated with breast cancer based on integrated gene expression profiling by bioinformatics analysis.
Wu D; Han B; Guo L; Fan Z
J Obstet Gynaecol; 2016 Jul; 36(5):615-21. PubMed ID: 26804550
[TBL] [Abstract][Full Text] [Related]
9. Identification of key candidate genes, pathways and related prognostic values in ER-negative/HER2-negative breast cancer by bioinformatics analysis.
Shao N; Yuan K; Zhang Y; Yun Cheang T; Li J; Lin Y
J BUON; 2018; 23(4):891-901. PubMed ID: 30358191
[TBL] [Abstract][Full Text] [Related]
10. Integrated bioinformatics analysis for the screening of hub genes and therapeutic drugs in ovarian cancer.
Yang D; He Y; Wu B; Deng Y; Wang N; Li M; Liu Y
J Ovarian Res; 2020 Jan; 13(1):10. PubMed ID: 31987036
[TBL] [Abstract][Full Text] [Related]
11. Identification and Verification of Key Tumor Genes Associated with Diagnosis and Prognosis of Breast Cancer Based on Bioinformatics Analysis.
Yu F; Pan XJ; Luo J
Dis Markers; 2022; 2022():9041466. PubMed ID: 35686034
[TBL] [Abstract][Full Text] [Related]
12. Expression and potential molecular mechanisms of miR‑204‑5p in breast cancer, based on bioinformatics and a meta‑analysis of 2,306 cases.
Cai KT; Liu AG; Wang ZF; Jiang HW; Zeng JJ; He RQ; Ma J; Chen G; Zhong JC
Mol Med Rep; 2019 Feb; 19(2):1168-1184. PubMed ID: 30569120
[TBL] [Abstract][Full Text] [Related]
13. Integrated bioinformatics analyses identifying potential biomarkers for type 2 diabetes mellitus and breast cancer: In SIK1-ness and health.
Durrani IA; Bhatti A; John P
PLoS One; 2023; 18(8):e0289839. PubMed ID: 37556419
[TBL] [Abstract][Full Text] [Related]
14. Identification of differentially expressed genes regulated by molecular signature in breast cancer-associated fibroblasts by bioinformatics analysis.
Vastrad B; Vastrad C; Tengli A; Iliger S
Arch Gynecol Obstet; 2018 Jan; 297(1):161-183. PubMed ID: 29063236
[TBL] [Abstract][Full Text] [Related]
15. Identification of key differentially expressed genes between ER-positive/HER2-negative breast cancer and ER-negative/HER2-negative breast cancer using integrated bioinformatics analysis.
Gan S; Dai H; Li R; Liu W; Ye R; Ha Y; Di X; Hu W; Zhang Z; Sun Y
Gland Surg; 2020 Jun; 9(3):661-675. PubMed ID: 32775256
[TBL] [Abstract][Full Text] [Related]
16. Screening and Identification of Key Biomarkers in Inflammatory Breast Cancer Through Integrated Bioinformatic Analyses.
Wu J; Lv Q; Huang H; Zhu M; Meng D
Genet Test Mol Biomarkers; 2020 Aug; 24(8):484-491. PubMed ID: 32598242
[No Abstract] [Full Text] [Related]
17. Integrated bioinformatics analysis reveals key candidate genes and pathways in breast cancer.
Wang Y; Zhang Y; Huang Q; Li C
Mol Med Rep; 2018 Jun; 17(6):8091-8100. PubMed ID: 29693125
[TBL] [Abstract][Full Text] [Related]
18. Identification of candidate biomarkers and pathways associated with SCLC by bioinformatics analysis.
Wen P; Chidanguro T; Shi Z; Gu H; Wang N; Wang T; Li Y; Gao J
Mol Med Rep; 2018 Aug; 18(2):1538-1550. PubMed ID: 29845250
[TBL] [Abstract][Full Text] [Related]
19. Identification of Hub Genes to Regulate Breast Cancer Spinal Metastases by Bioinformatics Analyses.
He Y; Cao Y; Wang X; Jisiguleng W; Tao M; Liu J; Wang F; Chao L; Wang W; Li P; Fu H; Xing W; Zhu Z; Huan Y; Yuan H
Comput Math Methods Med; 2021; 2021():5548918. PubMed ID: 34055036
[TBL] [Abstract][Full Text] [Related]
20. Identification of Genes with Prognostic Value in the Breast Cancer Microenvironment Using Bioinformatics Analysis.
Ren H; Hu D; Mao Y; Su X
Med Sci Monit; 2020 Apr; 26():e920212. PubMed ID: 32251269
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
