ArticleOncotarget2015
Integrated genomic analysis identifies subclasses and prognosis signatures of kidney cancer.
Article in Oncotarget, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 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
24 citing papers in PubMed, 45 citations in OpenAlex.
- Angiogenic and immunomodulatory biomarkers in axitinib-treated patients with advanced renal cell carcinoma.Future oncology (London, England) · 2020Trial
- The Expression and Prognostic Value of Co-stimulatory Molecules in Clear Cell Renal Cell Carcinoma (CcRcc).Combinatorial chemistry & high throughput screening · 2024Article
- The combination of NDUFS1 with CD4Frontiers in cell and developmental biology · 2023Article
- miR-30b-5p up-regulation related to the dismal prognosis for patients with renal cell cancer.Journal of clinical laboratory analysis · 2021Article
- Review of Prognostic Expression Markers for Clear Cell Renal Cell Carcinoma.Frontiers in oncology · 2021Review
- Deep learning with multimodal representation for pancancer prognosis prediction.Bioinformatics (Oxford, England) · 2019Article
- Upregulation of miR-183-5p predicts worse survival in patients with renal cell cancer after surgery.Cancer biomarkers : section A of Disease markers · 2019Article
- Comprehensive assessment gene signatures for clear cell renal cell carcinoma prognosis.Medicine · 2018Article
- Integrative analysis of dysregulated microRNAs and mRNAs in multiple recurrent synchronized renal tumors from patients with von Hippel-Lindau disease.International journal of oncology · 2018Article
- MicroRNA-375 Suppresses the Tumor Aggressive Phenotypes of Clear Cell Renal Cell Carcinomas through Regulating YWHAZ.Chinese medical journal · 2018Article
- Epigenetics in renal cell cancer: mechanisms and clinical applications.Nature reviews. Urology · 2018Review
- Reconstruction of kidney renal clear cell carcinoma evolution across pathological stages.Scientific reports · 2018Article
- miRNA-21 and miRNA-223 expression signature as a predictor for lymph node metastasis, distant metastasis and survival in kidney renal clear cell carcinoma.Journal of Cancer · 2018Article
- A six-mRNA signature model for the prognosis of head and neck squamous cell carcinoma.Oncotarget · 2017Article
- Renal Cell Tumors: Understanding Their Molecular Pathological Epidemiology and the 2016 WHO Classification.International journal of molecular sciences · 2017Review
- Article
- Translocation Renal Cell Carcinoma: An Update on Clinicopathological and Molecular Features.Cancers · 2017Review
- A three-microRNA signature as a diagnostic and prognostic marker in clear cell renal cancer: An In Silico analysis.PloS one · 2017Article
- Prognostic value of cross-omics screening for kidney clear cell renal cancer survival.Biology direct · 2016Article
- STAT5 induces miR-21 expression in cutaneous T cell lymphoma.Oncotarget · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeTo define robust miRNA-based molecular classifiers for human clear cell renal cell carcinoma (ccRCC) subgrouping and prognostication. EXPERIMENTAL
designMultidimensional data of over 500 clear cell renal cell carcinoma (ccRCC) patients were retrieved from The Cancer Genome Atlas (TCGA) archive. Data analysis was based on a novel computational approach that selectively considers patients with extreme expression values of miRNAs to detect survival-associated molecular signatures.
resultsOur in silico analysis unveiled a novel ccRCC-specific 5-miRNA (miR-10b, miR-21, miR-143, miR-183, and miR-192) signature able, when combined with information from conventional TNM staging and the age of the patient, to prognosticate ccRCC outcome more accurately than known ccRCC miRNA signatures or TNM staging alone. Furthermore, our approach revealed the existence of 6 distinct subgroups of ccRCC characterized by discrete differences in overall survival, tumor stage, and mutational spectra in key ccRCC tumor suppressor genes. It also demonstrated that BAP1 mutations correlate with tumor progression rather than overall survival.
conclusionIntegrated analysis of multidimensional data from the TCGA archive allowed to draw a portrait of distinct molecular subclasses of human ccRCC and to define signatures for prognosticating disease outcome. Together, these results offer new prospects for more accurate stratification and prognostication of ccRCC.
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.