Evidence map›Paper›PMID 39263870›Full record

ArticleBJU international2025

Differences in mutations across tumour sizes in clear-cell renal cell carcinoma.

Steven M Monda, Benjamin W Carney, Allison M May, Shuchi Gulati, Simpa S Salami, Thenappan Chandrasekar, Evan T Keller, Nicolai A Huebner, Ganesh S Palapattu, Marc A Dall'Era

Abstract read
In one paragraph

Article in BJU international, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Steven M MondaDepartment of Urologic Surgery, UC Davis, Sacramento, CA, USA.ORCID https://orcid.org/0000-0002-8548-8193
Benjamin W CarneyDepartment of Radiology, UC Davis, Sacramento, CA, USA.
Allison M MayDepartment of Urology, University of Michigan, Ann Arbor, MI, USA.
Shuchi GulatiDivision of Hematology and Oncology, UC Davis, Sacramento, CA, USA.
Simpa S SalamiDepartment of Urology, University of Michigan, Ann Arbor, MI, USA.ORCID https://orcid.org/0000-0001-7461-7079
Thenappan ChandrasekarDepartment of Urologic Surgery, UC Davis, Sacramento, CA, USA.
Evan T KellerDepartment of Urology, University of Michigan, Ann Arbor, MI, USA.
Nicolai A HuebnerDepartment of Urologic Surgery, UC Davis, Sacramento, CA, USA.
Ganesh S PalapattuDepartment of Urology, University of Michigan, Ann Arbor, MI, USA.
Marc A Dall'EraDepartment of Urologic Surgery, UC Davis, Sacramento, CA, USA.ORCID https://orcid.org/0000-0002-2301-2683

Funding

Advanced Training in Urologic OncologyT32CA180984 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Ganesh S Palapattu, VAHAKN B SHAHINIAN · 2014 to 2026
$3.4M
Combination of Transcriptomic and Metallomic Biomarkers for Risk Assessment in Locoregional Clear Cell Renal Cell CarcinomaK08CA273542 · NCI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI Shuchi Gulati · 2022 to 2026
$1.3M
NCI NIH HHS K08 CA273542NCI NIH HHS T32 CA180984Steven Monda is supported by the National Institutes of Health/National Cancer Institute Advanced Training in Urologic Oncology Grant (T32 CA180984) and the Clark Family Fellowship in Kidney Cancer Research.the Clark Family Fellowship in Kidney Cancer Research
6 · The paper itself

Abstract

objectiveTo assess the distribution of key mutations across tumour sizes in clear-cell renal cell carcinoma (ccRCC), and secondarily to examine the prognostic impact of aggressive mutations in smaller ccRCCs. PATIENT AND

methodsThe distribution of mutations (VHL, PBRM1, SETD2, BAP1 and CDKN2A loss) across tumour sizes was assessed in 1039 ccRCCs treated with nephrectomy in cohorts obtained from the Tracking Cancer Evolution (TRACERx), The Cancer Genome Atlas (TCGA) and the Cancer Genomics of the Kidney (CAGEKID) projects. Logistic regression was used to model the presence of each mutation against size. In our secondary analysis, we assessed a subset of ccRCCs ≤7 cm for associations of key aggressive mutations (SETD2, BAP1, and CDKN2A loss) with metastasis, invasive disease and overall survival, while controlling for size. A subset of localised tumours ≤7 cm was also used to assess associations with recurrence after nephrectomy.

resultsOn logistic regression, each 1-cm increase in tumour size was associated with aggressive mutations, SETD2, BAP1, and CDKN2A loss, at odds ratios (ORs) of 1.09, 1.10 and 1.19 (P < 0.001), whereas no significant association was observed between tumour size and PBRM1 (OR 1.02; P = 0.23). VHL was mildly negatively associated with a 1-cm increase in size (OR 0.95; P = 0.01). Among tumours ≤7 cm, SETD2 and CDKN2A loss were associated with metastatic disease at ORs of 3.86 and 3.84 (P < 0.05) while controlling for tumour size. CDKN2A loss was associated with worse overall survival, with a hazard ratio (HR) of 2.19 (P = 0.03). Among localised tumours ≤7 cm, SETD2 was associated with worse recurrence-free survival (HR 2.00; P = 0.03).

conclusionLarge and small ccRCCs are genomically different. Aggressive mutations, namely, SETD2, BAP1, and CDKN2A loss, are rarely observed in small ccRCCs and are observed more frequently in larger tumours. However, when present in tumours ≤7 cm, SETD2 mutations and CDKN2A loss were still independently associated with invasive disease, metastasis, worse survival, and recurrence after resection, after controlling for size.

Indexed as

Carcinoma, Renal CellKidney NeoplasmsMutationAgedCyclin-Dependent Kinase Inhibitor p16DNA-Binding ProteinsFemaleHistone-Lysine N-MethyltransferaseHumansMaleMiddle AgedNephrectomyPrognosisTranscription FactorsTumor BurdenTumor Suppressor ProteinsBAP1 protein, humanCyclin-Dependent Kinase Inhibitor p16DNA-Binding ProteinsHistone-Lysine N-MethyltransferasePBRM1 protein, humanSETD2 protein, humanTranscription FactorsTumor Suppressor ProteinsUbiquitin Thiolesterasebap1cdkn2aclear‐cell renal cell carcinomagenomicsrenal cell carcinomasetd2survivaltcgatracerxtumour size

Identifiers

PMID39263870
PMCPMC11745994

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