Genome sequencing-based prognosis, mutational analysis, and survival rate of clear cell renal cell carcinoma.

Authors

null

Lisa Joy Centeno

University of Santo Tomas Faculty of Medicine and Surgery, Manila, Philippines

Lisa Joy Centeno , Hai Pan , Preeti Malik , Tehmina Hashim , Olia Poursina , Lorena Antonella Velez Diaz , Samyukta Varma , Prachi Bapat , Arsh Chowdhary , Lean Alkhatib , Urvish Patel , Prasannalaxmi Palabindela , Kartik Kalra , Ashish Patil , Geetika Kukreja

Organizations

University of Santo Tomas Faculty of Medicine and Surgery, Manila, Philippines, Tianjin University of Chinese Medicine, Tianjin, China, Montefiore Medical Center, Bronx, NY, Batterjee Medical College, Jeddah, Saudi Arabia, Houston Methodist Hospital, Houston, TX, Universidad de Guayaquil, Guayaquil, Ecuador, Madurai Medical College, Madurai, India, Smt. Kashibai Navale Medical College and General Hospital, Narhe, India, Smt Kashibai Navale Medical College and General Hospital, Narhe, India, Royal Medical Services, Amman, 11183, Jordan, Amman, Jordan, Icahn School of Medicine at Mount Sinai, New York, NY, Jennie Stuart Health, Hopkinsville, KY, Geisinger Medical Center, Danville, PA, University of Miami Miller School of Medicine, Miami, FL, Division of Hematology-Oncology, Henry Ford Cancer Institute Macomb, Shelby Township, MI

Research Funding

No funding received
None.

Background: The clear cell renal cell carcinoma (ccRCC) is the most prevalent genitourinary cancer, and carries a poor prognosis. Information regarding whole genome sequencing, a prognostic prediction system, and overall survival in ccRCC is limited. While loss of VHL is commonly implicated in ccRCC, two genes indicated in other cancers, SDHD and ARID1A, have limited literature on their correlation to ccRCC. Hence, we aimed to analyze the genomic profile, epidemiological characteristics and overall survival of ccRCC. Methods: We utilized cBioPortal cancer genomics [The Cancer Genome Atlas (TCGA) PanCancer Atlas, TCGA Firehose Legacy, and TCGA Nature 2013] to study the genetic mutations associated with ccRCC. Epidemiological characteristics and genetic profiles were evaluated, and a query was generated to calculate 5 year and 10 year survival rate with the most common mutations. Log-rank test and Kaplan–Meier estimator were used in analyzing the survival function. Patients with two or more overlapping mutations (72) were excluded. Results: We identified 761 patients with ccRCC, out of which 442 had primary ccRCC with all demographic details available. 65.8% were males, 58.1% were Caucasian, and 7.2% were African American. Majority of patients (199) were between the ages of 50-65 years. 286 (64.7%) were alive and 156 (35.3%) were deceased. The common mutations associated with reduced survival were VHL, BAP1, SDHA, SDHD, and ARID1A. Median survival of patients with VHL, BAP1, SDHA, SDHD, ARID1A mutations was 118.85, 93.04, 40.70, 2.04, and 6.02 months respectively in comparison with unaltered mutation group (78.44 months) (p < 0.0001). (Table 1) Survival was lowest amongst SDHD [2.04 months] and ARID1A [6.02 months]. (p = 3.26e-10). In survival analysis, SDHD and ARID1A were associated with lowest survival after initial diagnosis at 60 months (Figure 1) and 120 months (Figure 2). (p = 2.592e-3). Conclusions: Our study found that SDHD, ARID1A, and SDHA genes were associated with the worst prognosis in ccRCC with median survival of 2.04, 6.02, and 40.70 months. This study may provide insight for targeted therapies for ccRCC and improve the prognosis of these patients.

Number of Cases, TotalNumber of EventsMedian Month (95% CI)
Unaltered group2278378.44 (65.29 - NA)
VHL13332118.85 (75.58 - NA)
BAP117693.04 (54.61 - NA)
SDHA4340.70 (10.82 - NA)
SDHD222.04 (2.04 - NA)
ARID1A316.02 (6.02 - NA)

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Abstract Details

Meeting

2023 ASCO Annual Meeting

Session Type

Publication Only

Session Title

Publication Only: Genitourinary Cancer—Kidney and Bladder

Track

Genitourinary Cancer—Kidney and Bladder

Sub Track

Kidney Cancer

Citation

J Clin Oncol 41, 2023 (suppl 16; abstr e16543)

DOI

10.1200/JCO.2023.41.16_suppl.e16543

Abstract #

e16543

Abstract Disclosures

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