ArticleThe Journal of clinical investigation2021
Integrating imaging and RNA-seq improves outcome prediction in cervical cancer.
Article in The Journal of clinical investigation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
14 citing papers in PubMed, 20 citations in OpenAlex.
- Recapitulating the tumour microenvironment: advancing personalised radiation therapy through organoid technology.Journal of experimental & clinical cancer research : CR · 2026Review
- Development and Application of Tumor Organoids: An Emerging Platform for Gynecological Cancers.International journal of women's health · 2025Review
- Article
- Interplay between reactive oxygen species and ERK activation in cervical cancer cells.Frontiers in cell and developmental biology · 2024Article
- SCCA1/SERPINB3 suppresses antitumor immunity and blunts therapy-induced T cell responses via STAT-dependent chemokine production.The Journal of clinical investigation · 2023Article
- Tumor Organoid and Spheroid Models for Cervical Cancer.Cancers · 2023Review
- Single-nucleus RNA sequencing and deep tissue proteomics reveal distinct tumour microenvironment in stage-I and II cervical cancer.Journal of experimental & clinical cancer research : CR · 2023Article
- Endogenous Retrovirus RNA Expression Differences between Race, Stage and HPV Status Offer Improved Prognostication among Women with Cervical Cancer.International journal of molecular sciences · 2023Article
- Phenotypic maps for precision medicine: a promising systems biology tool for assessing therapy response and resistance at a personalized level.Frontiers in network physiology · 2023Article
- Activation of OSM-STAT3 Epigenetically Regulates Tumor-Promoting Transcriptional Programs in Cervical Cancer.Cancers · 2022Article
- Improving cervical cancer survival-A multifaceted strategy to sustain progress for this global problem.Cancer · 2022Review
- The course forward: next generation sequencing as part of the next generation management of patients with locally advanced cervical cancer.Journal of gynecologic oncology · 2022Article
- Prognostic Analysis and Comparison of the 2014 and 2018 International Federation of Gynecology and Obstetrics Staging System on Overall Survival in Patients with Stage IIB-IVA Cervix Carcinoma.International journal of women's health · 2022Article
- Functional New Transcription Factors (TFs) Associated with Cervical Cancer.Journal of healthcare engineering · 2022Article
Corrections and comments
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Authors and funding
9 authors at 2 institutions in 2 countries.
Funding
Abstract
Approaches using a single type of data have been applied to classify human tumors. Here we integrate imaging features and transcriptomic data using a prospectively collected tumor bank. We demonstrate that increased maximum standardized uptake value on pretreatment 18F-fluorodeoxyglucose-positron emission tomography correlates with epithelial-to-mesenchymal transition (EMT) gene expression. We derived and validated 3 major molecular groups, namely squamous epithelial, squamous mesenchymal, and adenocarcinoma, using prospectively collected institutional (n = 67) and publicly available (n = 304) data sets. Patients with tumors of the squamous mesenchymal subtype showed inferior survival outcomes compared with the other 2 molecular groups. High mesenchymal gene expression in cervical cancer cells positively correlated with the capacity to form spheroids and with resistance to radiation. CaSki organoids were radiation-resistant but sensitive to the glycolysis inhibitor, 2-DG. These experiments provide a strategy for response prediction by integrating large data sets, and highlight the potential for metabolic therapy to influence EMT phenotypes in cervical cancer.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.