ArticleTranslational oncology2014
Tumor heterogeneity at protein level as an independent prognostic factor in endometrial cancer.
Article in Translational oncology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed, 26 citations in OpenAlex.
- Role of intratumoral heterogeneity in metastatic progression and drug resistance.Discover oncology · 2025Review
- Quantile index predictors using R package hyper.gam.Bioinformatics (Oxford, England) · 2025Article
- A novel computational model ITHCS for enhanced prognostic risk stratification in ESCC by correcting for intratumor heterogeneity.Briefings in bioinformatics · 2024Article
- Activation of MAL2 by RAD21 inhibits the expression of MHC-I in immune evasion of endometrial cancer.Cytotechnology · 2024Article
- Article
- A transcriptomic intratumour heterogeneity-free signature overcomes sampling bias in prognostic risk classification for hepatocellular carcinoma.JHEP reports : innovation in hepatology · 2023Article
- Proteomic and functional characterization of intra-tumor heterogeneity in human endometrial cancer.Cell reports. Medicine · 2022Article
- Single- versus Dual-Targeted Nanoparticles with Folic Acid and Biotin for Anticancer Drug Delivery.Pharmaceutics · 2021Review
- Spatial protein heterogeneity analysis in frozen tissues to evaluate tumor heterogeneity.PloS one · 2021Article
- Identification of core genes in the progression of endometrial cancer and cancer cell-derived exosomes by an integrative analysis.Scientific reports · 2020Article
- Intra-tumor heterogeneity for endometrial cancer and its clinical significance.Chinese medical journal · 2019Article
- Identification of Potential Crucial Genes Associated With the Pathogenesis and Prognosis of Endometrial Cancer.Frontiers in genetics · 2019Article
- MIG-6 suppresses endometrial epithelial cell proliferation by inhibiting phospho-AKT.BMC cancer · 2018Article
- Protein drug target activation homogeneity in the face of intra-tumor heterogeneity: implications for precision medicine.Oncotarget · 2017Article
- Enhanced tumor-targeting selectivity by modulating bispecific antibody binding affinity and format valence.Scientific reports · 2017Article
- Estrogen receptor-alpha as a predictive biomarker in endometrioid endometrial cancer.Gynecologic oncology · 2016Article
- Immunohistochemical characterisation of molecular subtypes in endometrial cancer.International journal of clinical and experimental medicine · 2015Article
- Article
- Association of SNPs in CDKN2A (P14ARF) Tumour Suppressor Gene With Endometrial Cancer in Postmenopausal Women.In vivo (Athens, Greece)Article
Corrections and comments
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Intratumor heterogeneity implies heterogeneous protein function, facilitating tumor adaptation which results in therapeutic failure. We hypothesized that tumor heterogeneity at protein level may influence the course of the disease. As a single biopsy might not represent the full biologic complexity of the tumor, we have analyzed immunohistochemically four different cores obtained from each primary tumor within the cohort of 364 patients with endometrial cancer (EC). The following proteins were examined: estrogen receptor 1 (ESR1), progesterone receptor, epidermal growth factor receptor, v-erb-b2 erythroblastic leukemia viral oncogene homolog 2, receptor tyrosine-protein kinase erbB-3, v-erb-b2 avian erythroblastic leukemia viral oncogene homolog 4, phosphatidylinositol-4,5-bisphosphate 3-kinase, phosphorylated v-akt murine thymoma viral oncogene homolog 1, v-myc avian myelocytomatosis viral oncogene homolog, DNA topoisomerase II alpha 170 kDa (TOP2A), cyclin-dependent kinase inhibitor 2A (CDKN2A), tumor protein p53, RAD21 homolog, S. pombe, and runt-related transcription factor 1. Particularly strong correlation was found between TOP2A and CDKN2A heterogeneity and higher stage of the disease (P = .0002 and P = .0003, respectively). Most correlations with clinicopathologic data were observed for ESR1 heterogeneity that correlated with non-endometrioid carcinomas (P=.02), higher stage (P=.005), grade (P=.01), and the presence of metastases (P = .01). Thirty-nine (11.0%) patients were classified as "globally heterogeneous". Cumulative tumor heterogeneity strongly correlated with the presence of metastases, higher stage, and higher grade of the disease (all P b .05). It also carried negative prognostic value (P=.0008). We show that the degree of heterogeneity in EC might serve as a clinically valid molecular marker.
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Registered trials
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