A stratified two-stage tumor molecular profiling algorithm to identify clinically actionable molecular alterations in pancreatic cancer☆

S. Hussung , D. Akhoundova , C. Pistoni , D. Lenggenhager , A. Töpfer , C. Pauli , B. Pestalozzi , C. Britschgi , M. Zoche , M. Rechsteiner , H. Moch , A. Weber , R. Fritsch
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Abstract

Background

Tumor molecular profiling (TMP) for pancreatic cancer (PC) is recommended by current international guidelines, yet no testing standards exist. Moreover, the magnitude of benefit and the cost-effectiveness of comprehensive next-generation sequencing panels for PC are under debate.

Materials and methods

We implemented a stratified two-stage TMP algorithm for advanced PC. Stage 1 comprised immunohistochemistry for mismatch repair deficiency and targeted sequencing employing a 33-gene next-generation sequencing panel covering common PC drivers and DNA damage response genes. Based on pre-specified events (KRAS wild type, mismatch repair deficiency, molecular tumor board recommendation), subsequent comprehensive molecular testing was carried out (stage 2). We report molecular findings and patient outcomes.

Results

A total of 94 PC patients were included in the study. Some 63/94 (67.0%) patients underwent TMP according to the algorithm, of which 5/63 (7.9%) fulfilled criteria for subsequent stage 2 comprehensive testing. A total of 31/94 (33%) patients underwent upfront comprehensive molecular testing outside the algorithm based on referring physician’s request. Compared with algorithm testing, upfront comprehensive testing detected a higher number of pathogenic molecular alterations/patient (median: five versus three, P = 0.0005), however no additional actionable alterations. Actionable alterations were identified in 25/94 (26.6%) cases, including DNA damage response gene alterations, KRAS G12C and targetable drivers in KRAS wild type tumors. Patients receiving targeted therapy based on molecular profile showed superior survival (progression-free survival, overall survival) compared with patients without targeted treatment.

Conclusions

Stratified two-stage TMP reliably identifies actionable alterations in PC patients, with potential therapeutic benefit. The proposed TMP algorithm might be as effective, yet more feasible and economic compared with comprehensive upfront testing.
一种分层的两期肿瘤分子分析算法,用于识别胰腺癌临床可操作的分子改变
背景:肿瘤分子谱分析(TMP)是目前国际指南推荐的胰腺癌检测方法,但目前还没有相应的检测标准。此外,用于PC的综合下一代测序面板的效益和成本效益的大小仍在争论中。材料与方法我们在高级PC上实现了一种分层的两阶段TMP算法。第一阶段包括错配修复缺陷的免疫组化和靶向测序,采用33个基因的下一代测序面板,涵盖常见的PC驱动程序和DNA损伤反应基因。基于预先指定的事件(KRAS野生型,错配修复缺陷,分子肿瘤委员会推荐),随后进行全面的分子检测(第2阶段)。我们报告分子结果和患者结果。结果共纳入94例PC患者。63/94例(67.0%)患者接受了TMP治疗,其中5/63例(7.9%)患者符合后续二期综合检测标准。共有31/94(33%)的患者根据转诊医生的要求在算法之外进行了预先全面的分子检测。与算法测试相比,前期综合测试检测到的致病分子改变/患者数量更高(中位数:5比3,P = 0.0005),但没有额外的可操作改变。在25/94(26.6%)的病例中发现了可操作的改变,包括DNA损伤反应基因改变、KRAS G12C和KRAS野生型肿瘤的可靶向驱动因素。与未接受靶向治疗的患者相比,接受基于分子谱的靶向治疗的患者表现出更高的生存期(无进展生存期,总生存期)。结论:分层两期TMP可靠地识别出PC患者可操作的改变,具有潜在的治疗益处。与全面的预先测试相比,所提出的TMP算法可能同样有效,但更可行和经济。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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