Evidence map›Paper›PMID 32972793›Full record

ArticleEuropean urology2021

Distinguishing Benign Renal Tumors with an Oncocytic Gene Expression (ONEX) Classifier.

Patrick D McGillivray, Daiki Ueno, Aydin Pooli, Neil Mendhiratta, Jamil S Syed, Kevin A Nguyen, Peter G Schulam, Peter A Humphrey, Adebowale J Adeniran, Paul C Boutros and 1 more

Open access · greenAbstract read
In one paragraph

Article in European urology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 10% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. An interpretable machine learning model for preoperative prediction of renal mass malignancy.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. The evolving management of small renal masses.Nature reviews. Urology · 2024
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Review
  14. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 3 institutions in 1 country.

Patrick D McGillivrayDepartment of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Daiki UenoDepartment of Urology, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.
Aydin PooliDepartment of Urology, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.
Neil MendhirattaDepartment of Urology, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.
Jamil S SyedDepartment of Urology, Yale School of Medicine, New Haven, CT, USA.
Kevin A NguyenDepartment of Urology, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.
Peter G SchulamDepartment of Urology, Yale School of Medicine, New Haven, CT, USA.
Peter A HumphreyDepartment of Pathology, Yale School of Medicine, New Haven, CT, USA.
Adebowale J AdeniranDepartment of Pathology, Yale School of Medicine, New Haven, CT, USA.
Paul C BoutrosDepartment of Urology, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA; Department of Human Genetics, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA; Jonsson Comprehensive Cancer Center, University of California Los Angeles, Los Angeles, CA, USA; Institute for Precision Health, University of California Los Angeles, Los Angeles, CA, USA.
Brian ShuchDepartment of Urology, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA; Jonsson Comprehensive Cancer Center, University of California Los Angeles, Los Angeles, CA, USA. Electronic address: bshuch@mednet.ucla.edu.
University of California, Los Angeles · USYale University · USJohns Hopkins University · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
Women's CancersP30CA016042 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Samuel Wheeler French · 1985 to 2026
$134.5M
UCLA SPORE in Brain CancerP50CA211015 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI David A. Nathanson · 2017 to 2026
$25.2M
Genomic Heterogeneity and the Small Renal MassK08CA207845 · NCI · YALE UNIVERSITY · PI SHUCH, BRIAN · 2016 to 2019
$682k
NCI NIH HHS K08 CA207845NCI NIH HHS P30 CA008748NCI NIH HHS P30 CA016042NCI NIH HHS P50 CA211015
6 · The paper itself

Abstract

Renal oncocytoma (RO) accounts for 5% of renal cancers and generally behaves as a benign tumor with favorable long-term prognosis. It is difficult to confidently distinguish between benign RO and other renal malignancies, particularly chromophobe renal cell carcinoma (chRCC). Therefore, RO is often managed aggressively with surgery. We sought to identify molecular biomarkers to distinguish RO from chRCC and other malignant renal cancer mimics. In a 44-patient discovery cohort, we identified a significant differential abundance of nine genes in RO relative to chRCC. These genes were used to train a classifier to distinguish RO from chRCC in an independent 57-patient cohort. The trained classifier was then validated in five independent cohorts comprising 89 total patients. This nine-gene classifier trained on the basis of differential gene expression showed 93% sensitivity and 98% specificity for distinguishing RO from chRCC across the pooled validation cohorts, with a c-statistic of 0.978. This tool may be a useful adjunct to other diagnostic modalities to decrease the diagnostic and management uncertainty associated with small renal masses and to enable clinicians to recommend more confidently less aggressive management for some tumors. PATIENT SUMMARY: Renal oncocytoma is generally a benign form of kidney cancer that does not necessarily require surgical removal. However, it is difficult to distinguish renal oncocytoma from other more aggressive forms of kidney cancer, so it is treated most commonly with surgery. We built a classification tool based on the RNA levels of nine genes that may help avoid these surgeries by reliably distinguishing renal oncocytoma from other forms of kidney cancer.

Indexed as

Adenoma, OxyphilicCarcinoma, Renal CellDiagnosis, DifferentialGene ExpressionHumansKidney NeoplasmsChromophobe renal cell carcinomaMolecular biomarkersRenal oncocytomaRNA expressionTumor classification

Identifiers

PMID32972793
PMCPMC8939926
OpenAlexW3088530320

What OpenQuestion holds

Textmetadata
LicenceTDM
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.