ArticleOncotarget2017
Keratin 5 overexpression is associated with serous ovarian cancer recurrence and chemotherapy resistance.
Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
42 citing papers in PubMed, 66 citations in OpenAlex.
- Signatures of Pancreatic Ductal Adenocarcinoma Uncovered by Integrative Multi-Omics Analysis.Cancers · 2026Article
- Keratin 5 marks cancer-propagating cells sustained by an osteopontin-producing niche in high-grade serous ovarian carcinoma.bioRxiv : the preprint server for biology · 2026Article
- Keratin 5 marks cancer-propagating cells sustained by an osteopontin-producing niche in high-grade serous ovarian carcinoma.Cancer heterogeneity and plasticity · 2026Article
- Keratin 5 expression defines a niche-supported hierarchy in tubo-ovarian cancer.Cancer heterogeneity and plasticity · 2026Article
- Proteomic analysis of altered urinary extracellular vesicle levels in breast cancer patients pre- and post-surgery.Translational cancer research · 2025Article
- Protease-Activated Receptor F2R Is a Potential Target for New Diagnostic/Prognostic and Treatment Applications for Patients with Ovarian Cancer.International journal of molecular sciences · 2025Article
- Machine learning modeling and analysis of prognostic hub genes in cervical adenocarcinoma: a multi target therapy for enhancement in immunosurveillance.Discover oncology · 2025Article
- Identification of Sphingosine Kinase 1 as a Novel Protein Regulated by High Molecular Weight Hyaluronan in Ovarian Cancer.Journal of cellular and molecular medicine · 2025Article
- Association analysis of PAEP, KRT10, and BMP7 genes SNPs with reproductive traits in Kele pigs.PloS one · 2025Article
- Pre-ciliated tubal epithelial cells are prone to initiation of high-grade serous ovarian carcinoma.Nature communications · 2024Article
- Keratins 6, 16, and 17 in Health and Disease: A Summary of Recent Findings.Current issues in molecular biology · 2024Review
- Engineered CAR-T cells targeting the non-functional P2X purinoceptor 7 (P2X7) receptor as a novel treatment for ovarian cancer.Clinical & translational immunology · 2024Article
- Disabled-2: a protein up-regulated by high molecular weight hyaluronan has both tumor promoting and tumor suppressor roles in ovarian cancer.Cellular and molecular life sciences : CMLS · 2023Article
- Article
- Identification of a minimum number of genes to predict triple-negative breast cancer subgroups from gene expression profiles.Human genomics · 2022Article
- Platinum-resistance in epithelial ovarian cancer: an interplay of epithelial-mesenchymal transition interlinked with reprogrammed metabolism.Journal of translational medicine · 2022Article
- Identification of candidate hub genes correlated with the pathogenesis, diagnosis, and prognosis of prostate cancer by integrated bioinformatics analysis.Translational cancer research · 2022Article
- YB-1 is a positive regulator of KLF5 transcription factor in basal-like breast cancer.Cell death and differentiation · 2022Article
- Hsa_circRNA_0017620 regulated cell progression of non-small-cell lung cancer via miR-520a-5p/KRT5 axis.Journal of clinical laboratory analysis · 2022Article
- Identification of Core Genes and Pathways in Melanoma Metastasis via Bioinformatics Analysis.International journal of molecular sciences · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study investigated the clinical significance of keratin 5 and 6 expression in serous ovarian cancer progression and chemotherapy resistance. KRT5 and KRT6 (KRT6A, KRT6B & KRT6C) gene expression was assessed in publically available serous ovarian cancer data sets, ovarian cancer cell lines and primary serous ovarian cancer cells. Monoclonal antibodies which detect both K5/6 or only K5 were used to assess protein expression in ovarian cancer cell lines and a cohort of high grade serous ovarian carcinomas at surgery (n = 117) and after neoadjuvant chemotherapy (n = 21). Survival analyses showed that high KRT5 mRNA in stage III/IV serous ovarian cancers was significantly associated with reduced progression-free (HR 1.38, P < 0.0001) and overall survival (HR 1.28, P = 0.013) whilst high KRT6 mRNA was only associated with reduced progression-free survival (HR 1.2, P = 0.031). Both high K5/6 (≥ 10%, HR 1.78 95% CI; 1.03-2.65, P = 0.017) and high K5 (≥ 10%, HR 1.90, 95% CI; 1.12-3.19, P = 0.017) were associated with an increased risk of disease recurrence. KRT5 but not KRT6C mRNA expression was increased in chemotherapy resistant primary serous ovarian cancer cells compared to chemotherapy sensitive cells. The proportion of serous ovarian carcinomas with high K5/6 or high K5 immunostaining was significantly increased following neoadjuvant chemotherapy. K5 can be used to predict serous ovarian cancer prognosis and identify cancer cells that are resistant to chemotherapy. Developing strategies to target K5 may therefore improve serous ovarian cancer survival.
Indexed as
Identifiers
What OpenQuestion holds
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.