PO.CL01.13 · 临床研究

识别BRAF p.V600E突变型结直肠癌(mCRC)应答的生物标志物

Identifying biomarkers of response in BRAF p.V600E mutant colorectal cancers (mCRC)

海报缩略图:识别BRAF p.V600E突变型结直肠癌(mCRC)应答的生物标志物
编号 3954 展板 5 时间 4/20 02:00–05:00 区域 Section 49 主讲 Gagandeep Brar, MD
分会场 Spatial Proteomics and Transcriptomics 2
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作者与单位 Authors & Affiliations

Gagandeep Brar1, Brooke Rhead2, Unnati Jariwala2, Stamatina Fragkogianni2, Amit Mahipal3

1City of Hope Comprehensive Cancer Ctr., Duarte, CA,2Tempus, Chicago, IL,3Case Comprehensive Cancer Center, Cleveland, OH

摘要 Abstract

中文摘要
背景:BRAF V600E突变见于8%-12%的mCRC患者(pts),与标准全身治疗应答不佳及低生存率相关。然而,一部分BRAF V600E mCRC患者病程更为惰性,其应答率和生存率与非BRAF mCRC患者相似,提示BRAF V600E作为致癌驱动因素的影响可能存在异质性。在此,我们探讨了接受一线(1L)全身治疗的BRAF V600E mCRC患者中应答者(R)与非应答者(NR)之间的基因组和转录组差异。 方法:使用Tempus Lens平台(Tempus AI, Inc., Chicago, IL)查询Tempus多模态去标识化数据库,建立并随后分析了一个在1L化疗±贝伐珠单抗(bevacizumab)之前接受xT(DNA)±xR(RNA)检测的BRAF-V600E mCRC确诊患者队列(n=274)。合并MSI-H/dMMR结果的患者被排除。在1L开始后至少15天记录到最佳应答的患者被分类为R(完全缓解/部分缓解/疾病稳定)与NR(疾病进展)。RNA表达数据经标准化并以每百万转录本数(TPM)量化,使用Wilcoxon秩和检验进行比较。对由50个生物学状态或过程定义的精选基因集集合进行基因集富集分析(GSEA)。表达分析的校正p值(q值)采用Benjamini-Hochberg方法计算。地标真实世界总生存期(rwOS)定义为从1L治疗开始+90天起至死亡或失访的时间。使用Cox比例风险模型计算风险比(HR),并采用log-rank检验进行检验。 结果:患者人口统计学特征和肿瘤特征在应答状态之间无差异,包括肿瘤侧别、转移数目、转移部位及所接受的治疗。整体队列中位年龄为64岁,59%为女性。90天地标rwOS分析显示R组较NR组更长(在从1L治疗开始存活至90天的前提下,中位数为15.0个月对8.8个月;HR 0.53;95% CI [0.31-0.89, p=0.016])。在所分析的基因中,ARID2(8.9% 对 0%,p=0.006)和FLCN(5.4% 对 0%,p=0.048)改变在NR组(n=56)中较R组(n=96)显著富集。R组STARD9表达显著高于NR组(q=0.046),且在Wnt通路中呈正富集表达(q=0.02),在多个与细胞增殖、免疫浸润、血管生成和胆汁酸代谢相关的通路中呈负富集(q<=0.05)。 结论:BRAF V600E mCRC的R组具有更佳的生存结局,且与接受1L治疗的NR组相比,在基因层面上体细胞和转录组变化极小。有趣的是,GSEA揭示了Wnt、细胞增殖、免疫浸润、血管生成和胆汁酸代谢通路的显著差异,提示应进一步探讨其治疗意义。
查看英文原文 English abstract
Background: BRAF V600E mutations occur in 8-12% of patients (pts) with mCRC and are associated with poor response to standard systemic therapies and low survival rates. However, a subset of pts with BRAF V600E mCRC have a more indolent course with response and survival rates similar to non- BRAF mCRC pts, suggesting that the impact of BRAF V600E as an oncogenic driver may be heterogeneous. Here, we explore the genomic and transcriptomic differences between responders (R) vs non-responders (NR) in BRAF V600E mCRC pts treated with first line (1L) systemic therapy. Methods: The Tempus Lens Platform (Tempus AI, Inc., Chicago, IL) was used to query the Tempus multimodal de-identified database and establish and subsequently analyze a cohort of pts diagnosed with BRAF-V600E mCRC with xT (DNA) ± xR (RNA) testing prior to 1L chemotherapy ± bevacizumab (n=274). Pts with concomitant MSI-H/dMMR results were excluded. Pts with best response recorded at least 15 days after 1L start were classified as R (complete response/partial response/stable disease) vs NR (progressive disease). RNA expression data was normalized and quantified as transcripts per million (TPM), and compared using Wilcoxon rank-sum tests. Gene set enrichment analysis (GSEA) was performed on a curated collection of 50 gene sets defined by biological states or processes. Adjusted p-values (q-values) were computed for expression analyses using the Benjamini-Hochberg method. Landmark real world overall survival (rwOS) was defined as time from 1L treatment start +90 days until death or loss to follow up. Hazard ratio (HR) was calculated using Cox proportional hazard models and tested using a log-rank test. Results: Patient demographics and tumor characteristics did not differ by response status, including tumor sidedness, number of metastases, location of metastases and therapy received. Median age was 64 and 59% were female in the overall cohort. The 90 day landmark rwOS analysis was longer in R vs NR (median 15.0 vs 8.8 months given survival to 90 days from 1L treatment start; HR 0.53; 95% CI [0.31-0.89, p=0.016]).Of the genes analyzed, ARID2 (8.9% vs. 0%, p=0.006) and FLCN (5.4% vs. 0%, p=0.048) alterations were significantly enriched in NR (n=56) vs. R (n=96). Rs exhibited significantly higher expression of STARD9 compared to NRs (q=0.046), as well as positive enrichment expression in the Wnt pathway (q=0.02) and negative enrichment in multiple pathways associated with cell proliferation, immune infiltration, angiogenesis and bile acid metabolism (q<=0.05). Conclusions: Rs with BRAF V600E mCRC had improved survival outcomes and had minimal somatic and transcriptomic changes compared to NRs treated with 1L therapy at the gene level. Interestingly, GSEA revealed significant differences in Wnt, cell proliferation, immune infiltration, angiogenesis and bile acid metabolism pathways suggesting therapeutic implications that should be explored.
利益披露 Disclosure
G. Brar, None.. B. Rhead, None. U. Jariwala, Magnit Global Employment. S. Fragkogianni, None.. A. Mahipal, None.

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