PO.TB03.04 · 肿瘤生物学

Genomic landscape of 1007 pan-cancer brain metastases

海报缩略图:Genomic landscape of 1007 pan-cancer brain metastases
编号 2116 展板 14 时间 4/20 09:00–12:00 区域 Section 27 主讲 Ramzi Homsi
分会场 Characterization of Metastases by Imaging and Profiling
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作者与单位

Ramzi Homsi1, Henry Walch1, Roshal Patel1, Anna Skakodub1, Emily Miao1, James Lee1, Chengcheng Gui1, Mitchell Parker1, Zachariya Yazdani1, Michel A. Padilla Mazzeo1, Claire Cooper1, Kyle Sporn1, Brandon Imber1, Yao Yu1, Jessica Wilcox1, Nelson Moss1, Ahmet Turan Ilica2, Rabih Bou-Nassif1, Joseph Stember1, Christopher Jackson1, Connor Kinslow1, Gustav Cederquist1, Caleb Lareau1, Helena A. Yu1, Soo Ryum Yang1, Pedram Razavi1, Joseph Chan1, Kenny Kwok Hei Yu1, Walid Khaled Chatila1, Nikolaus Schultz1, Luke R. G. Pike1

1Memorial Sloan Kettering Cancer Center, New York, NY,2University of Miami, Miami, FL

摘要 Abstract

Background: The pan-cancer genomic landscape of brain metastases (BM) has not been well-characterized. Herein, we evaluate genomically profiled BM tumor samples and additional sequenced tumor samples from other sites to further understand disease evolution. Methods: We analyzed BM specimens from 1007 patients who underwent craniotomy between 2014 and 2024. Targeted sequencing was performed with MSK-IMPACT, a next-generation sequencing assay which detects genomic alterations in up to 505 genes. The FACETS algorithm was used to estimate tumor purity, fraction of genome altered (FGA) and whole-genome duplication (WGD) status. We analyzed matched sample pairs from patients who had additional sequenced tumor samples resulting in 227 primary-BM (P-BM) pairs, 189 extracranial metastasis-BM (ECM-BM) pairs and 60 BM-BM pairs. One pair per patient was selected for each category based on maximum purity. For paired comparisons, the Wilcoxon signed-rank test was used to compare continuous features and McNemar's test was used to compare WGD, with Benjamini-Hochberg p-value adjustment. The Jaccard index was computed to assess mutational concordance between pairs. Private mutation analysis was limited to genes with driver mutations in >5 pairs in each P-BM/ECM-BM group. Results: Median intracranial progression-free survival (iPFS) and overall survival (OS) from craniotomy were 11.3 and 25 months, respectively. The most frequent histologies in the cohort were non-small cell lung cancer (NSCLC; n = 360), breast (n = 181), and melanoma (n = 128). The genes with the highest proportion of oncogenic alterations were TP53 (62.0%), CDKN2A (25.0%), TERT (23.4%), KRAS (19.7%), and ERBB2 (12.3%). At least one structural variant or mutation was shared by 88.1% of P-BM pairs, 90.0% of ECM-BM pairs and 98.3% of BM-BM pairs. The mean number of shared driver mutations was 2.48 for P-BM pairs, 2.43 for ECM-BM pairs and 4.02 for BM-BM pairs. In a pan-cancer paired analysis, FGA, WGD and tumor purity were higher in BM in P-BM pairs (q < 0.01 for all) and in ECM-BM pairs (q < 0.01 for all). FGA and purity were higher in BM for P-BM pairs in upper gastrointestinal (GI) and NSCLC (q < 0.01), and in ECM-BM pairs for NSCLC (q < 0.01). By histology, in P-BM pairs, lower GI (n = 22) had the highest mean Jaccard index (J = 0.71) and prostate cancer (n = 10) had the lowest (J = 0.33), while in ECM-BM pairs melanoma (n = 23) had the highest (J = 0.77) and sarcoma (n = 9) had the lowest (J = 0.36). TP53 was the most commonly mutated gene in both P-BM (n pairs = 147, shared proportion = 0.816) and ECM-BM pairs (n pairs = 111, shared proportion = 0.869). Mutations in NFE2L2 and KMT2B were most commonly private to the BM in P-BM pairs (4/6 and 5/8 pairs with driver mutations private to BM, respectively), while NF1 mutations were most often BM-private in ECM-BM pairs (4/7). Conclusion: There is a high degree of concordance in alterations between P-BM and ECM-BM pairs. Alterations more commonly private to BM warrant further investigation.
利益披露 Disclosure
R. Homsi, None.. H. Walch, None.. R. Patel, None.. E. Miao, None.. J. Lee, None.. C. Gui, None.. M. Parker, None.. Z. Yazdani, None.. M. A. Padilla Mazzeo, None.. C. Cooper, None.. K. Sporn, None. B. Imber, GT Medical Technologies, Inc. Other. Telix Pharmaceuticals Limited Other. Ono Pharma Other. Y. Yu, EMD Serono, Inc Other. J. Wilcox, None. N. Moss, AstraZeneca Other. Daiichi Sankyo Other. Gerson Lehrman Group Other. Kendle Healthcare Other. Varian Medical Systems Other. A. Turan Ilica, None.. R. Bou-Nassif, None. J. Stember, Authera, LLC Stock, Other Intellectual Property. C. Jackson, None.. C. Kinslow, None.. G. Cederquist, None. C. Lareau, Cartography Biosciences Stock. S. Yang, AbbVie Other. Amgen Other. AstraZeneca Other. Medical Learning Institute Other. Medscape Other. PRIME Education LLC Other. Roche Other. Sanofi S.A. Other. P. Razavi, Novartis ), Other. AstraZeneca ), Other. Pfizer Other. Lilly Oncology Other. Prelude Therapeutics Other. Stemline Therapeutics Other. Foundation Medicine Other. Regor Pharmaceuticals Inc. Other. NeoGenomics Laboratories, Inc. ), Other. Natera Other. Tempus AI, Inc. ), Other. SAGA Diagnostics ), Other. Guardant Health, Inc. ), Other. Myriad Genetics ), Other. Foresight Diagnostics Inc ), Other. SOPHIA Genetics ), Other. Pathos AI, Inc. Other. BioNTech Other. Roche ). Biotheranostics, Inc ). K. Kwok Hei Yu, Aptorum Group Limited Stock. L. R. G. Pike, Dxcover Limited Other. Monograph Capital Advisors, L.P. Other. Genece Health, Inc. Other.

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