Evidence map›Paper›PMID 23797736›Full record

ArticleNature genetics2013

Integrated molecular analysis of clear-cell renal cell carcinoma.

Yusuke Sato, Tetsuichi Yoshizato, Yuichi Shiraishi, Shigekatsu Maekawa, Yusuke Okuno, Takumi Kamura, Teppei Shimamura, Aiko Sato-Otsubo, Genta Nagae, Hiromichi Suzuki and 19 more

Abstract read
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In one paragraph

Article in Nature genetics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 792 papers.

0numbers the graph read from it
0cells of the map it votes in
792citing papers in PubMed
67.5field-weighted citation impact, top 1% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

792 citing papers in PubMed, 1,240 citations in OpenAlex.

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  3. Randomized phase II dose comparison LITESPARK-013 study of belzutifan in patients with advanced clear cell renal cell carcinoma.Annals of oncology : official journal of the European Society for Medical Oncology · 2024
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732 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

29 authors at 4 institutions in 1 country.

Yusuke SatoCancer Genomics Project, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Tetsuichi Yoshizato
Yuichi Shiraishi
Shigekatsu Maekawa
Yusuke Okuno
Takumi Kamura
Teppei Shimamura
Aiko Sato-Otsubo
Genta Nagae
Hiromichi Suzuki
Yasunobu Nagata
Kenichi Yoshida
Ayana Kon
Yutaka Suzuki
Kenichi Chiba
Hiroko Tanaka
Atsushi Niida
Akihiro Fujimoto
Tatsuhiko Tsunoda
Teppei Morikawa
Daichi Maeda
Haruki Kume
Sumio Sugano
Masashi Fukayama
Hiroyuki Aburatani
Masashi Sanada
Satoru Miyano
Yukio Homma
Seishi Ogawa
The University of Tokyo · JPKyoto University · JPRIKEN Center for Integrative Medical Sciences · JPNagoya University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Clear-cell renal cell carcinoma (ccRCC) is the most prevalent kidney cancer and its molecular pathogenesis is incompletely understood. Here we report an integrated molecular study of ccRCC in which ≥100 ccRCC cases were fully analyzed by whole-genome and/or whole-exome and RNA sequencing as well as by array-based gene expression, copy number and/or methylation analyses. We identified a full spectrum of genetic lesions and analyzed gene expression and DNA methylation signatures and determined their impact on tumor behavior. Defective VHL-mediated proteolysis was a common feature of ccRCC, which was caused not only by VHL inactivation but also by new hotspot TCEB1 mutations, which abolished Elongin C-VHL binding, leading to HIF accumulation. Other newly identified pathways and components recurrently mutated in ccRCC included PI3K-AKT-mTOR signaling, the KEAP1-NRF2-CUL3 apparatus, DNA methylation, p53-related pathways and mRNA processing. This integrated molecular analysis unmasked new correlations between DNA methylation, gene mutation and/or gene expression and copy number profiles, enabling the stratification of clinical risks for patients with ccRCC.

Indexed as

Carcinoma, Renal CellCell LineCluster AnalysisDNA Copy Number VariationsDNA MethylationElonginExomeGene Expression ProfilingGene Expression Regulation, NeoplasticGenome, HumanGenomicsHigh-Throughput Nucleotide SequencingHumansHypoxia-Inducible Factor 1Kidney NeoplasmsMutationELOC protein, humanElonginHypoxia-Inducible Factor 1Transcription Factors

Identifiers

PMID23797736
OpenAlexW2096172976

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.