Integration of multiomics data shows down regulation of mismatch repair and tubulin pathways in triple-negative chemotherapy-resistant breast tumors.

Xiaojia Tang, Kevin J Thompson, Krishna R Kalari, Jason P Sinnwell, Vera J Suman, Peter T Vedell, Sarah A McLaughlin, Donald W Northfelt, Alvaro Moreno Aspitia, Richard J Gray, Jodi M Carter, Richard Weinshilboum, Liewei Wang, Judy C Boughey, Matthew P Goetz
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Abstract

Background: Triple-negative breast cancer (TNBC) is the most aggressive breast cancer subtype. Patients with TNBC are primarily treated with neoadjuvant chemotherapy (NAC). The response to NAC is prognostic, with reductions in overall survival and disease-free survival rates in those patients who do not achieve a pathological complete response (pCR). Based on this premise, we hypothesized that paired analysis of primary and residual TNBC tumors following NAC could identify unique biomarkers associated with post-NAC recurrence.

Methods and results: We investigated 24 samples from 12 non-LAR TNBC patients with paired pre- and post-NAC data, including four patients with recurrence shortly after surgery (< 24 months) and eight who remained recurrence-free (> 48 months). These tumors were collected from a prospective NAC breast cancer study (BEAUTY) conducted at the Mayo Clinic. Differential expression analysis of pre-NAC biopsies showed minimal gene expression differences between early recurrent and nonrecurrent TNBC tumors; however, post-NAC samples demonstrated significant alterations in expression patterns in response to intervention. Topological-level differences associated with early recurrence were implicated in 251 gene sets, and an independent assessment of microarray gene expression data from the 9 paired non-LAR samples available in the NAC I-SPY1 trial confirmed 56 gene sets. Within these 56 gene sets, 113 genes were observed to be differentially expressed in the I-SPY1 and BEAUTY post-NAC studies. An independent (n = 392) breast cancer dataset with relapse-free survival (RFS) data was used to refine our gene list to a 17-gene signature. A threefold cross-validation analysis of the gene signature with the combined BEAUTY and I-SPY1 data yielded an average AUC of 0.88 for six machine-learning models. Due to the limited number of studies with pre- and post-NAC TNBC tumor data, further validation of the signature is needed.

Conclusion: Analysis of multiomics data from post-NAC TNBC chemoresistant tumors showed down regulation of mismatch repair and tubulin pathways. Additionally, we identified a 17-gene signature in TNBC associated with post-NAC recurrence enriched with down-regulated immune genes.

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Abstract Image

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整合多组学数据显示,在三阴性化疗耐药乳腺肿瘤中,错配修复和微管蛋白通路下调。
背景:三阴性乳腺癌(TNBC)是最具侵袭性的乳腺癌亚型。TNBC患者主要采用新辅助化疗(NAC)治疗。对NAC的反应是预后性的,未达到病理完全缓解(pCR)的患者的总生存期和无病生存率会降低。基于这一前提,我们假设对NAC后原发性和残留TNBC肿瘤进行配对分析可以识别出与NAC后复发相关的独特生物标志物。方法和结果:我们研究了来自12例非lar TNBC患者的24份样本,这些患者具有配对的nac前后数据,其中包括4例术后不久(48个月)复发的患者。这些肿瘤是在梅奥诊所进行的一项前瞻性NAC乳腺癌研究(BEAUTY)中收集的。nac前活检的差异表达分析显示,早期复发和非复发TNBC肿瘤的基因表达差异很小;然而,nac后的样本显示,干预后表达模式发生了显著变化。与早期复发相关的拓扑水平差异涉及251个基因集,并且对NAC I-SPY1试验中可获得的9对非lar样本的微阵列基因表达数据的独立评估确认了56个基因集。在这56个基因集中,113个基因在I-SPY1和BEAUTY后nac研究中被观察到差异表达。使用独立的(n = 392)乳腺癌无复发生存(RFS)数据集将我们的基因列表细化为17个基因签名。结合BEAUTY和I-SPY1数据对基因签名进行了三重交叉验证分析,六个机器学习模型的平均AUC为0.88。由于nac前后TNBC肿瘤数据的研究数量有限,需要进一步验证该特征。结论:nac后TNBC化疗耐药肿瘤的多组学分析显示错配修复和微管蛋白通路下调。此外,我们在TNBC中发现了与nac后复发相关的17个基因特征,其中富含下调的免疫基因。
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