Tumor genomic landscape in smokers compared to non-smoker patients with locally advanced or metastatic urothelial carcinoma.

Authors

null

Nishita Tripathi

Huntsman Cancer Institute, Salt Lake City, UT

Nishita Tripathi , Nicolas Sayegh , Yeonjung Jo , Haoran Li , Roberto Nussenzveig , Benjamin Haaland , Vinay Mathew Thomas , Sumati Gupta , Deepika Sirohi , Umang Swami , Neeraj Agarwal , Benjamin L. Maughan

Organizations

Huntsman Cancer Institute, Salt Lake City, UT, Huntsman Cancer Institute-University of Utah Health Care, Salt Lake City, UT, University of Utah Huntsman Cancer Institute, Salt Lake City, UT, Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, University of Utah and ARUP Laboratories, Salt Lake City, UT

Research Funding

No funding received

Background: Cigarette smoking is a known risk factor for bladder cancer. Smokers have been reported to have greater ERCC2-Signature mutations and APOBEC-Signature 13 mutations when compared to non-smokers in a TCGA based study (PMID: 33849962). Our objective was to assess the frequency of targetable genomic alterations in smokers (current or past) vs never smokers patients (pts) with locally advanced or metastatic urothelial carcinoma (mUC). Methods: In this IRB approved retrospective study, smokers vs non-smokers pts with mUC undergoing tumor comprehensive genomic profiling (CGP) from CLIA-certified laboratory were included. Genes with alterations (GA) in < 5% pts and variants of unknown significance were excluded from the analysis. A chi square test was used to compare gene frequency aberration and the analysis was adjusted for false discovery using Benjamini-Hochberg (BH) correction. The median number of genomic aberrations per pt was compared using Wilcoxon rank-sum test. Results: 137 pts were eligible and included. Smokers (n=70) and non-smokers (n=67): median age, 67 vs 68 years; male vs female: 55/15 vs 42/25. The genomic aberrations enriched in smokers and non-smokers are shown in the table. The most common GA observed in smokers were TERT, TP53, CDKN2B, RB1 and KDM6A; and non-smokers were TERT, TP53, CDKN2B, PIK3CA and RB1 (Table). Tumor mutation burden and the frequency of genomic aberrations per pt were similar in both groups. Conclusions: Herein, we independently validate the findings by Walasek, Almassi et. al. (abstract B20, AACR 2020) of no significant difference in the tumor GA between smokers vs non-smokers pts with advanced urothelial carcinoma, despite high prevalence of targetable genomic aberrations in both cohorts. Future directions should include the investigation of epigenomic changes and transcriptomic profiling to further elucidate the effect of smoking on bladder cancer.

Gene
Smoker (N = 70)
Non-smoker (N = 672)
TERT
52 (74.3%)
51 (76.1%)
TP53
39 (55.7%)
33 (49.3%)
CDKN2B
21 (30%)
21 (31.3%)
RB1
19 (27.1%)
17 (25.4%)
KDM6A
16 (22.9%)
12 (17.9%)
ARID1A
13 (18.6%)
14 (20.9%)
FGFR3
12 (17.1%)
12 (17.9%)
PIK3CA
7 (10%)
17 (25.4%)
CCND1
10 (14.3%)
9 (13.4%)

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Abstract Details

Meeting

2022 ASCO Genitourinary Cancers Symposium

Session Type

Poster Session

Session Title

Poster Session B: Urothelial Carcinoma

Track

Urothelial Carcinoma

Sub Track

Translational Research, Tumor Biology, Biomarkers, and Pathology

Citation

J Clin Oncol 40, 2022 (suppl 6; abstr 554)

DOI

10.1200/JCO.2022.40.6_suppl.554

Abstract #

554

Poster Bd #

J11

Abstract Disclosures

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