TY  - EJOU
AU  - PANG, GUANTING 
AU  - LI, YAOHAN 
AU  - SHI, QIWEN 
AU  - TIAN, JINGKUI 
AU  - LOU, HANMEI 
AU  - FENG, YUE 

TI  - Omics sciences for cervical cancer precision medicine from the perspective of the tumor immune microenvironment
T2  - Oncology Research

PY  - 2025
VL  - 33
IS  - 4
SN  - 1555-3906

AB  - Immunotherapies have demonstrated notable clinical benefits in the treatment of cervical cancer (CC). However, the development of therapeutic resistance and diverse adverse effects in immunotherapy stem from complex interactions among biological processes and factors within the tumor immune microenvironment (TIME). Advanced omic technologies offer novel insights into a more expansive and thorough layer of the TIME. Furthermore, integrating multidimensional omics within the frameworks of systems biology and computational methodologies facilitates the generation of interpretable data outputs to characterize the clinical and biological trajectories of tumor behavior. In this review, we present advanced omics technologies that utilize various clinical samples to address scientific inquiries related to immunotherapies for CC, highlighting their utility in identifying metastasis dissemination, recurrence risk, and therapeutic resistance in patients treated with immunotherapeutic approaches. This review elaborates on the strategy for integrating multi-omics data through artificial intelligence algorithms. Additionally, an analysis of the obstacles encountered in the multi-omics analysis process and potential avenues for future research in this domain are presented.
KW  - Omics; Tumor immune microenvironment (TIME); Precision medicine; Cervical cancer (CC)

DO  - 10.32604/or.2024.053772