Evidence map›Paper›PMID 34019633›Full record

ArticleArchives of pathology & laboratory medicine2022

Improving Renal Tumor Biopsy Prognostication With BAP1 Analyses.

Payal Kapur, Sasan Setoodeh, Ellen Araj, Jingsheng Yan, Venkat S Malladi, Jeffrey A Cadeddu, Alana Christie, James Brugarolas

Open access · diamondAbstract read
In one paragraph

Article in Archives of pathology & laboratory medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.3field-weighted citation impact, top 19% 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

5 citing papers in PubMed, 11 citations in OpenAlex.

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  5. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 1 institution in 1 country.

Payal KapurFrom the Departments of Pathology (Kapur, Setoodeh, Araj).
Sasan SetoodehFrom the Departments of Pathology (Kapur, Setoodeh, Araj).
Ellen ArajFrom the Departments of Pathology (Kapur, Setoodeh, Araj).
Jingsheng YanPopulation and Data Sciences (Yan).
Venkat S MalladiKidney Cancer Program (Kapur, Malladi, Cadeddu, Christie, Brugarolas).
Jeffrey A CadedduUrology (Kapur, Cadeddu).
Alana ChristieKidney Cancer Program (Kapur, Malladi, Cadeddu, Christie, Brugarolas).
James BrugarolasHematology-Oncology Division in Internal Medicine (Brugarolas).
Brugarolas (Spain) · ES

Funding

University of Texas Southwestern Medical Center SPORE in Kidney CancerP50CA196516 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI James Brugarolas · 2016 to 2026
$24.7M
NCI NIH HHS P50 CA196516
6 · The paper itself

Abstract

CONTEXT.—: Active surveillance of small renal masses highlights the need for accurate prognostication of biopsies. OBJECTIVE.—: To comprehensively evaluate the accuracy of biopsies in assessing known prognostic parameters including histologic subtype by comparison with subsequent nephrectomy samples. DESIGN.—: We retrospectively identified patients at University of Texas Southwestern Medical Center, Dallas, Texas, who had a biopsy for a renal mass between 2004-2018. Biopsy samples were evaluated for known prognostic factors such as tumor grade, necrosis, sarcomatoid/rhabdoid change, and BRCA1-associated protein-1 (BAP1) status, which we previously showed is an independent prognostic factor for clear cell renal cell carcinoma. Accuracy was determined by comparison with subsequent analyses of nephrectomy specimens. Statistical analyses were performed to assess biopsy accuracy and correlation with tumor size and pathologic stage. RESULTS.—: From 805 biopsies with a diagnosis of renal neoplasm, 178 had subsequent resection of the biopsied tumor. Concordance rate for histologic subtype was 96.9% (κ [w], 0.90; 95% CI, 0.82-0.99) and excellent for small renal masses (98.8%; κ [w], 0.97; 95% CI, 0.90-1). Amongst the prognostic variables evaluated, BAP1 immunohistochemistry in clear cell renal cell carcinoma had the highest agreement (94.8%; κ [w], 0.83; 95% CI, 0.66-0.99). The presence of 1 or more aggressive features (grade 3-4, tumor necrosis, BAP1 loss, sarcomatoid/rhabdoid change) in a biopsy significantly correlated with pT stage (P = .004). CONCLUSIONS.—: Biopsy analyses showed high accuracy for subtyping renal tumors, but it underestimated several poor prognostic features. Addition of BAP1 for clear cell renal cell carcinoma may increase prognostic accuracy. If validated, routine incorporation of BAP1 immunohistochemistry in clear cell renal cell carcinoma biopsies may refine prognosis and aid in the selection of patients for active surveillance.

Indexed as

Carcinoma, Renal CellKidney NeoplasmsTumor Suppressor ProteinsUbiquitin ThiolesteraseBiopsyHumansNephrectomyPrognosisRetrospective StudiesBAP1 protein, humanTumor Suppressor ProteinsUbiquitin Thiolesterase

Identifiers

PMID34019633
PMCPMC9812366
OpenAlexW3161281275

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Registered trials

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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.