Evidence map›Paper›PMID 28753846›Full record

ArticleEuropean urology focus2017

The Landscape of Whole-genome Alterations and Pathologic Features in Genitourinary Malignancies: An Analysis of the Cancer Genome Atlas.

Mark W Ball, Michael A Gorin, Charles G Drake, Hans J Hammers, Mohamad E Allaf

Open access · greenAbstract read
In one paragraph

Article in European urology focus, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

12 citing papers in PubMed, 23 citations in OpenAlex.

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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

5 authors at 2 institutions in 1 country.

Mark W BallThe James Buchanan Brady Urological Institute & Department of Urology, Johns Hopkins University School of Medicine. Electronic address: mark.ball@jhmi.edu.
Michael A GorinThe James Buchanan Brady Urological Institute & Department of Urology, Johns Hopkins University School of Medicine.
Charles G DrakeThe James Buchanan Brady Urological Institute & Department of Urology, Johns Hopkins University School of Medicine.
Hans J HammersThe James Buchanan Brady Urological Institute & Department of Urology, Johns Hopkins University School of Medicine.
Mohamad E AllafThe James Buchanan Brady Urological Institute & Department of Urology, Johns Hopkins University School of Medicine.
Johns Hopkins Medicine · USJohns Hopkins University · US

Funding

Translational Research Central ServicesP30CA006973 · NCI · JOHNS HOPKINS UNIVERSITY · PI Rosalie Wollett · 1985 to 2026
$208.6M
NCI NIH HHS P30 CA006973
6 · The paper itself

Abstract

backgroundThe accumulation of somatic genetic alterations drives carcinogenesis. Little is known, however, about how the level of genetic alteration across an entire cancer genome affects tumor grade, stage or survival.

objectiveTo investigate the influence of somatic mutation count (MC) and copy number variation (CNV) on pathologic and oncologic outcomes in patients with genitourinary malignancies in The Cancer Genome Atlas (TCGA). DESIGN, SETTING, AND

participantsTCGA data sets for adrenocortical carcinoma (ACC), bladder urothelial carcinoma (BLCA), chromophobe renal cell carcinoma (RCC; KICH), clear cell RCC (KIRC), papillary RCC (KIRP), pheochromocytoma and paraganglioma (PCPG), prostate adenocarcinoma (PRAD), and testis germ cell tumor (TGCT) were accessed via cBioportal. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: Median MC and CNV were compared among and within each tumor type. Patients were stratified by grade and stage, and differences in MC and CNV were compared. Correlation of MC and CNV with overall survival (OS) and recurrence-free survival (RFS) was analyzed when these data were available. RESULTS AND LIMITATIONS: Among the tumor types analyzed, BLCA had the highest MC at 167, followed by ACC (89), KIRP (71), TGCT (55), KIRC (45), PRAD (34), PCPG (14), and KICH (12). The tumor type with the highest fraction of the genome with CNV was KICH (0.94), followed by ACC (0.58), TGCT (0.41), BLCA (0.29), KIRP (0.15), PCPG (0.13), KIRC (0.12), and PRAD (0.06). MC was associated with higher T stage in ACC, N stage in KIRC, M stage in ACC, grade in BLCA, and primary Gleason score in PRAD, and was associated with OS and RFS in KICH. CNV was associated with higher N stage in PRAD, grade in KIRC, and Gleason grade in PRAD. In addition, higher CNV was independently associated with inferior RFS for KIRC, as well as inferior OS and RFS for KIRP.

conclusionsMC and CNV vary greatly among tumor types. PATIENT SUMMARY: Cancers with higher levels of genomic alterations are associated with worse pathologic features and survival. The degree of genomic alterations could serve as a useful marker of disease aggressiveness.

Indexed as

Adrenal Cortex NeoplasmsDisease-Free SurvivalDNA Copy Number VariationsFemaleGenome-Wide Association StudyHumansKidney NeoplasmsMaleMutationNeoplasm GradingUrinary Bladder NeoplasmsBladder cancerCopy number alterationGenomicsKidney cancerMalignancyMutationsProstate cancer

Identifiers

PMID28753846
PMCPMC5548653
OpenAlexW2586169361

What OpenQuestion holds

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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.