Abstract

8571 Background: Advances in the treatment of small cell lung cancer (SCLC), an aggressive disease with poor prognosis, will require the development of diagnostic methods during treatment that are more sensitive and descriptive than are currently available. The emergence of “liquid biopsy” technologies coupled with comprehensive genomic information about common mutations in SCLC prompted us to implement a blood-based assay for simultaneous sequencing of circulating, cell-free tumor DNA (cfDNA) and determination of the peripheral a and b T cell receptor repertoire in patients with SCLC. Methods: Our SCLC assay uses targeted hybrid capture and next generation sequencing of cfDNA extracted from patient plasma to detect somatic mutations in 14 frequently mutated genes in SCLC. We also sequenced rearranged T cell receptor α and β genes, each with 5000 unique α and β CDR3 open reading frames per microgram of gDNA. Over 26 months we followed 27 patients with SCLC (16 with extensive stage and 11 with limited stage disease) and examined cfDNA from 141 plasma samples and T cell repertoire from 41 samples. Results: We detected somatic, disease-associated mutations in 85% of patient samples (23/27) with allele frequencies of cfDNA ranging from ≤0.5% to ≥85%. The most commonly mutated genes were TP53 (17/27 patients) and RB1 (10/27 patients) . We detected 87 unique genomic alterations in 12 different genes (in addition to TP53 and RB1 these included PTEN, NOTCH1-4, MYC, MYCL1, PIK3CA, KIT, and BRAF). The observed mutant allele frequencies in longitudinal samples tracked with treatment response, including cases in which cfDNA allele frequencies increased before clinical evidence of relapse. Longitudinal monitoring of T cell repertoire demonstrated both variability between patients and sequential changes during therapy, including one case of decreased T cell numbers accompanying disease relapse. Conclusions: As the field of immuno-oncology matures, we anticipate that coupled determination of T cell repertoire together with cfDNA monitoring will merge into a clinically useful “molecular image” of each patient’s disease status and real-time host immune response.

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