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Data · dataset · 2026

<p>Clinical information of 112 samples in CCs.</p>

Listed in NCL Data

<div><p>Genomic or transcriptomic sequencing guides the precision of cervical cancer (CC) diagnosis; however, the molecular profile of Asian patients remains poorly understood.

Description

We established a comprehensive multi-omics cohort comprising 112 tumor-normal adjacent tissue pairs from Chinese CC patients. Our integrated analysis revealed a mutational burden comparable to other populations, with three major mutational signatures primarily attributed to APOBEC-associated, age-associated, and DNA repair-associated biological categories.

Multi-omics profiling elucidated the functional consequences of somatic mutations and copy number variations, identifying PIK3CA, EP300, and MPRIP as key driver events. We further uncovered both concordant and discordant activation patterns across cancer-related signaling pathways. Transcriptomic and proteomic analyses nominated cell cycle regulation, epithelial-mesenchymal transition, and LAMC2 as promising diagnostic and therapeutic targets.

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Comprehensive immune characterization enabled stratification of patients into three major immune phenotypes with varying microenvironmental profiles. This study provides valuable resources and novel insights into the molecular architecture of cervical cancer in the Chinese population, identifying potential biomarkers to guide precision detection and immunotherapy strategies.</p></div>

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Catalogue records · 1

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Inferred from text
Sequencing 75%
Provenance · 1 source records, 13 field assertions
SourceKeyLast seenRaw
NCL Dataoai:figshare.com:article/340727213 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · data ncl ac ukconnector:data_ncl_ac_uk@1.0.0
concepts[disease].local:disease:cancermapping · data ncl ac ukvocabulary-mapper@1.0.0keywords['Cancer']
concepts[field].anzsrc:group:3101mapping · data ncl ac ukvocabulary-mapper@1.0.0keywords['Cell Biology']
concepts[field].anzsrc:group:3105mapping · data ncl ac ukvocabulary-mapper@1.0.0keywords['Genetics']
concepts[field].local:field:earth-environmentalmapping · data ncl ac ukconnector:data_ncl_ac_uk@1.0.0
concepts[field].local:field:life-sciencesmapping · data ncl ac ukconnector:data_ncl_ac_uk@1.0.0
concepts[field].local:field:medicine-healthmapping · data ncl ac ukconnector:data_ncl_ac_uk@1.0.0
concepts[field].local:field:social-sciencemapping · data ncl ac ukconnector:data_ncl_ac_uk@1.0.0
concepts[modality].local:modality:sequencingenrichment · data ncl ac ukkeyword-concept-rules@1.0.0title+description (75%)
descriptionsource · data ncl ac ukconnector:data_ncl_ac_uk@1.0.0/metadata/dc/description
licensesource · data ncl ac ukconnector:data_ncl_ac_uk@1.0.0/metadata/dc/rights
publication_datesource · data ncl ac ukconnector:data_ncl_ac_uk@1.0.0
titlesource · data ncl ac ukconnector:data_ncl_ac_uk@1.0.0/metadata/dc/title