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Genomic Profiling of Small Intestine Cancers From a Real-World Data Set Identifies Subgroups With Actionable Alterations. | LitMetric

AI Article Synopsis

  • This study analyzes real-world data from a comprehensive genomic profiling (CGP) of 1,364 patients with advanced small intestine cancer, focusing on identifying clinically relevant genetic alterations across different patient subgroups based on age and molecular characteristics.
  • Key findings reveal that patients under 40 have a significantly lower rate of certain mutations compared to older patients, and 22.3% of the cohort had mutations that could be targeted by existing therapies.
  • The results contribute to a better understanding of the genetic landscape of small intestine cancer, which may help guide future treatment strategies.

Article Abstract

Purpose: Panel-based comprehensive genomic profiling (CGP) is used in clinical practice worldwide; however, large real-world data (RWD) of patients with advanced small intestine cancer have not been characterized. We investigated differences in the prevalence of clinically relevant alterations across molecularly defined or age-stratified subgroups.

Patients And Methods: This was a collaborative biomarker study of RWD from CGP testing (Foundation Medicine, Inc). Hybrid capture was conducted on at least 324 cancer-related genes and select introns from up to 31 genes frequently rearranged in cancer. Overall, 1,364 patients with advanced small intestine cancer were available for analyses and were stratified by age (≥40 years/<40 years), microsatellite instability (MSI) status, tumor mutational burden (TMB) status (high ≥10/low <10 Muts/Mb), and select gene alterations. The frequency of alterations was analyzed using a chi-square test with Yate's correction.

Results: Genes with frequent alterations included (59.8%), (54.8%), (27.7%), and (22.4%). Frequent genes with amplifications were (6.7%), (5.9%), (5.5%), and (3.4%). Patients younger than 40 years had significantly lower frequency of mutations than those 40 years and older (10.4% 28.7%; = .0008). Druggable genomic alterations were detected in 22.3% of patients: V600E (1.2%), (1.8%), (3.2%), amplification (3.2%), G12C (3.3%), fusion (0.07%), MSI-high (7.0%), and TMB-high (12.2%), with no significant differences in the frequency according to age (<40 years ≥40 years; 22.1% 22.3%). TMB of 10-20 Mut/Mb was observed in 4.8% of patients, and TMB ≥20 Mut/Mb was seen in 7.3% of the cohort.

Conclusion: RWD from clinical panel testing revealed the genomic landscape in small intestine cancer by subgroup. These findings provide insights for the future development of treatments in advanced small intestine cancer.

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Source
http://dx.doi.org/10.1200/PO.23.00425DOI Listing

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