Schettini F, Brasó-Maristany F, Pascual T, Lorman-Carbó N, Nucera S, Bergamino M, Galván P, Conte B, Seguí E, García Fructuoso I, Gómez Bravo R, Rodríguez A B, Martínez-Sáez O, Chic N, Vidal M, Adamo B, González-Farre B, Sanfeliu E, Cebrecos I, Mensión E, Oses G, Locci M, Mollà M, Ganau S, Jares P, Vidal-Sicart S, Muñoz M, Prat A
Translational Genomics and Targeted Therapies in Solid Tumors Group, August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain; Department of Medical Oncology, Hospital Clinic of Barcelona, Barcelona, Spain; Faculty of Medicine and Health Sciences, University of Barcelona, Barcelona, Spain.
Translational Genomics and Targeted Therapies in Solid Tumors Group, August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain; Reveal Genomics, Barcelona, Spain.
ESMO Open. 2024 Dec;9(12):103989. doi: 10.1016/j.esmoop.2024.103989. Epub 2024 Nov 27.
Predictors of response to neoadjuvant chemotherapy (NACT) and endocrine therapy (NET) in hormone receptor-positive (HoR+)/human epidermal growth factor receptor 2 (HER2)-negative breast cancer (BC) are required. Also, pathological and molecular changes induced by both strategies and their impact on patients' outcomes have not been reported so far.
In a cohort of 186 patients with early-stage HoR+/HER2-negative BC treated with NACT or NET, we assessed the association of baseline main clinicopathological features and PAM50 gene expression (GE), intrinsic subtypes (IS) and risk-of-relapse (ROR-P) score with pathological outcomes according to treatment strategy. Molecular NACT/NET-induced changes were described and compared, along with their associations with event-free survival (EFS). Comparison of the two cohorts after propensity score matching (PSM) was used as sensitivity analysis. Molecular changes were confirmed in cell lines.
NACT was associated with higher rates of residual cancer burden (RCB)-0/I than NET in the overall population (38.2% versus 13.5%, P < 0.001) and after PSM (P = 0.036). PAM50 non-luminal IS were the only independent and positive predictor of RCB-0/I (P = 0.024) in the NACT cohort, while MMP11 messenger RNA levels were the only independent and negative predictor (P = 0.014) in the NET cohort. Both treatments shifted the tumor types toward less aggressive forms (i.e. PAM50 luminal A/normal-like), lowered the risk of recurrence in terms of ROR-P, up-regulated selected immune genes and PAM50 basal-like-related genes/signature and significantly downregulated proliferation-/luminal-/HER2-related genes/signatures, though NACT more than NET. Molecular findings were confirmed after PSM. A net reduction in proliferation-related genes and ROR-P was confirmed in cell lines with chemotherapy and endocrine therapy. Different baseline molecular features associated with diverse kind of responses (ROR-P downstaging, Ki67 reduction or pathological responses) with NACT and NET. Decreasing ROR-P and transitioning the tumor subtype to resemble normal tissue (i.e. PAM50 normal-like) suggested improved EFS.
NACT was more effective in the molecular and dimensional tumor 'downstaging' than NET but baseline molecular features associated with differential responses according to treatment strategy. Examining baseline and post-treatment GE might help tailor more personalized and effective care.
激素受体阳性(HoR+)/人表皮生长因子受体2(HER2)阴性乳腺癌(BC)患者对新辅助化疗(NACT)和内分泌治疗(NET)的反应预测指标十分必要。此外,目前尚未报道这两种治疗策略所诱导的病理和分子变化及其对患者预后的影响。
在186例接受NACT或NET治疗的早期HoR+/HER2阴性BC患者队列中,我们根据治疗策略评估了基线主要临床病理特征、PAM50基因表达(GE)、内在亚型(IS)和复发风险(ROR-P)评分与病理结果的关联。描述并比较了分子NACT/NET诱导的变化及其与无事件生存期(EFS)的关联。倾向评分匹配(PSM)后两个队列的比较用作敏感性分析。在细胞系中证实了分子变化。
在总体人群中(38.2%对13.5%,P<0.001)以及PSM后(P = 0.036),NACT与NET相比,残留癌负担(RCB)-0/I率更高。在NACT队列中,PAM50非管腔型IS是RCB-0/I的唯一独立且阳性预测指标(P = 0.024),而在NET队列中,基质金属蛋白酶11信使RNA水平是唯一独立且阴性预测指标(P = 0.014)。两种治疗均使肿瘤类型向侵袭性较小的形式转变(即PAM50管腔A型/正常样),降低了ROR-P方面的复发风险,上调了选定的免疫基因以及PAM50基底样相关基因/特征,并显著下调了增殖相关/管腔相关/HER2相关基因/特征,不过NACT的作用大于NET。PSM后证实了分子学结果。化疗和内分泌治疗在细胞系中证实了增殖相关基因和ROR-P的净减少。不同的基线分子特征与NACT和NET的不同类型反应(ROR-P分期降低、Ki67降低或病理反应)相关。ROR-P降低以及肿瘤亚型转变为类似正常组织(即PAM50正常样)提示EFS改善。
NACT在分子和维度上使肿瘤“降期”方面比NET更有效,但基线分子特征与根据治疗策略的不同反应相关。检查基线和治疗后的GE可能有助于制定更个性化和有效的治疗方案。