Terms: = Cervical cancer AND SET, I2PP2A, 6418, ENSG00000119335, TAF-IBETA, PHAPII, IGAAD, 2PP2A AND Prognosis
146 results:
1. STING agonist inflames the cervical cancer immune microenvironment and overcomes anti-PD-1 therapy resistance.
Li T; Zhang W; Niu M; Wu Y; Deng X; Zhou J
Front Immunol; 2024; 15():1342647. PubMed ID: 38550593
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2.
Zhang YT; Xu LJ; Li L
Genet Test Mol Biomarkers; 2024 Jan; 28(1):10-21. PubMed ID: 38294357
[No Abstract] [Full Text] [Related]
3. [Expression of ProEXC and PRMT5 in cervical adenocarcinoma and their clinical significance].
Cui HX; Lou XL; Xia W; Zhang YS; Cheng XY; Deng LF
Zhonghua Yi Xue Za Zhi; 2023 Dec; 103(48):3967-3971. PubMed ID: 38129175
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4. Comprehensive analysis of clinical prognosis and biological significance of CNIH4 in cervical cancer.
Wang J; Wang S; Wang J; Huang J; Lu H; Pan B; Pan H; Song Y; Deng Q; Jin X; Shi G
Cancer Med; 2023 Dec; 12(24):22381-22394. PubMed ID: 38087815
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5. Identification of prognostic biomarkers for cervical cancer based on programmed cell death-related genes and assessment of their immune profile and response to drug therapy.
Feng S; Wang Z; Zhang H; Hou B; Xu Y; Hao S; Lu Y
J Gene Med; 2024 Jan; 26(1):e3643. PubMed ID: 38044747
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6. Conduction and validation of a novel prognostic signature in cervical cancer based on the necroptosis characteristic genes via integrating of multiomics data.
Xu T; Jiang J; Xiang X; Jahanshahi H; Zhang Y; Chen X; Li L
Comput Biol Med; 2024 Jan; 168():107656. PubMed ID: 38029530
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7. Development and validation of a nomogram to predict overall survival for cervical adenocarcinoma: A population-based study.
Fa XY; Yang YJ; Niu CC; Yu YJ; Diao JD
Medicine (Baltimore); 2023 Nov; 102(47):e36226. PubMed ID: 38013281
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8. APOBEC3C is a novel target for the immune treatment of lower-grade gliomas.
Zhao S; Li Y; Xu J; Shen L
Neurol Res; 2024 Mar; 46(3):227-242. PubMed ID: 38007705
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9. The prognostic, immunological and single-cell features of m6A molecules in cervical cancer.
Zhu X; Song X; Chen Q; Peng Y; Shi F
Cell Mol Biol (Noisy-le-grand); 2023 Sep; 69(9):89-99. PubMed ID: 37807329
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10. Pathogenomics model for personalized medicine in cervical cancer: Cross-talk of gene expressions and pathological images related to oxidative stress.
Li J; Chen S; Wu J; Liu X; Liu H; Liu Y; Zhu Z
Environ Toxicol; 2024 Feb; 39(2):751-767. PubMed ID: 37755325
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11. A Novel Eight-Gene Signature for Lipid Metabolism Predicts the Progression of cervical Squamous Cell Carcinoma and Endocervical Adenocarcinoma.
Wang S; Zhang S
Reprod Sci; 2024 Feb; 31(2):514-531. PubMed ID: 37749448
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12. Characterization of tumor microenvironment and tumor immunology based on the double-stranded RNA-binding protein related genes in cervical cancer.
Li J; Wan C; Li X; Quan C; Li X; Wu X
J Transl Med; 2023 Sep; 21(1):647. PubMed ID: 37735483
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13. Sequencing-based transcriptome analysis reveals diversification of immune response- and angiogenesis-related expression patterns of early-stage cervical carcinoma as compared with high-grade CIN.
Kurmyshkina OV; Dobrynin PV; Kovchur PI; Volkova TO
Front Immunol; 2023; 14():1215607. PubMed ID: 37731500
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14. A nomogram based on the risk factors of cervical lymph node metastasis in papillary thyroid carcinoma coexistent with Hashimoto's thyroiditis.
Miao H; Zhong J; Xing X; Sun J; Wu J; Wu C; Yuan Y; Zhou X; Wang H
Clin Hemorheol Microcirc; 2023; 85(3):235-247. PubMed ID: 37718783
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15. Transcriptome of Oral cancer Cells Adapted to Suspension Culture Is Potentially Related to cancer Progressive Phenotypes.
Sakurai K; Ando T; Ideta Y; Hayashi Y; Baba J; Mitsudo K; Ito H
Anticancer Res; 2023 Sep; 43(9):3905-3911. PubMed ID: 37648334
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16. A comprehensive study of oxidative stress-related effects on the prognosis and drug therapy of cervical cancer.
Sheng N; He C; Jin X; Meng Q; Gu P; Ding S; Liu H; Xu Y
J Gene Med; 2024 Jan; 26(1):e3581. PubMed ID: 37605936
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17. HDACs alters negatively to the tumor immune microenvironment in gynecologic cancers.
Yan M; Cao H; Tao K; Xiao B; Chu Y; Ma D; Huang X; Han Y; Ji T
Gene; 2023 Nov; 885():147704. PubMed ID: 37572797
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18. Identification of lymph node metastasis in pre-operation cervical cancer patients by weakly supervised deep learning from histopathological whole-slide biopsy images.
Liu Q; Jiang N; Hao Y; Hao C; Wang W; Bian T; Wang X; Li H; Zhang Y; Kang Y; Xie F; Li Y; Jiang X; Feng Y; Mao Z; Wang Q; Gao Q; Zhang W; Cui B; Dong T
Cancer Med; 2023 Sep; 12(17):17952-17966. PubMed ID: 37559500
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19. Prediction of lymph node status in patients with early-stage cervical cancer based on radiomic features of magnetic resonance imaging (MRI) images.
Liu S; Zhou Y; Wang C; Shen J; Zheng Y
BMC Med Imaging; 2023 Aug; 23(1):101. PubMed ID: 37528338
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20. A prognostic model using FIGO 2018 staging and MRI-derived tumor volume to predict long-term outcomes in patients with uterine cervical squamous cell carcinoma who received definitive radiotherapy.
Zang L; Chen Q; Lin A; Chen J; Zhang X; Fang Y; Wang M
World J Surg Oncol; 2023 Jul; 21(1):210. PubMed ID: 37475053
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