下一代肿瘤不可知靶点即将出现
Next-generation tumor-agnostic targets on the horizon.
肿瘤不可知药物开发将肿瘤学重新聚焦于共享的分子依赖性而非组织来源,从而能够针对跨肿瘤的罕见可操作驱动因素进行高效开发。
英文原题:Comprehensive genomic profiling to identify actionable alterations for breast cancer brain metastases in the Chinese population.
BCBM中TMB和TIL相对较低。在BCBM与配对的PT/ECM之间,可操作GA具有可比的一致性。因此,当有BCBM标本可用时,对BCBM进行基因组检测以识别潜在的新治疗靶点是合理的,因为约31%的样本携带额外的可操作GA。
乳腺癌脑转移(BCBM)是乳腺癌治疗中的一个关键问题,与不良预后相关。因此,临床实践中迫切需要新的治疗靶点。在本研究中,我们旨在利用FoundationOne® CDx(F1CDx)识别脑转移(BMs)中潜在的可操作靶点。
对54例接受BCBM手术患者的福尔马林固定石蜡包埋存档标本进行了F1CDx检测,包括16例原发性乳腺肿瘤(PT)、49例BCBM和7例颅外转移(ECM)。同时使用苏木精-伊红染色检测了BM的TIL(肿瘤浸润淋巴细胞)。
脑转移瘤中位肿瘤突变负荷(TMB)和TILs分别为5.0(范围0-29)mut/Mb和1.0%(范围0%-5.0%)。4例(8%)检测到高TMB(≥10 mut/Mb)。所有样本均检测到基因组改变(GAs)。脑转移瘤中排名最高的体细胞突变为TP53(82%)、PIK3CA(35%)、MLL2(22%)、BRCA2(14%)和ATM(14%),最常见的拷贝数改变为ERBB2(64%)、RAD21(36%)、CCND1(32%)、FGF19(30%)和FGF3(30%)。最常见的GAs在配对的原发肿瘤和脑转移瘤之间相对一致。94%的脑转移瘤中检测到可操作GAs。配对的PTs/ECMs与BMs之间可操作GAs的一致率为38%(6/16)。与匹配的PTs/ECMs相比,31%(5/16)的BMs中发现了额外的可操作GAs(BRAF、FGFR1、PTEN、KIT和CCND1)。
BACKGROUND: Breast cancer brain metastasis (BCBM) is a crucial issue in the treatment of breast cancer and is associated with poor prognosis. Therefore, novel therapeutic targets are urgently needed in clinical practice. In this study, we aimed to identify potential actionable targets in brain metastases (BMs) utilising the FoundationOne® CDx (F1CDx). PATIENTS AND METHODS: Formalin-fixed paraffin-embedded archived specimens including 16 primary breast tumours (PTs), 49 BCBMs and 7 extracranial metastases (ECMs) from 54 patients who underwent surgery for BCBM were tested using F1CDx. Tumour-infiltrated lymphocytes (TILs) of BMs were also tested using haematoxylin-eosin staining. RESULTS: The median tumour mutational burden (TMB) and TILs in BMs were 5.0 (range 0-29) mut/Mb and 1.0% (range 0%-5.0%), respectively. High TMB (≥10 mut/Mb) was detected in four cases (8%). Genomic alterations (GAs) were detected in all samples. The top-ranked somatic mutations in BMs were TP53 (82%), PIK3CA (35%), MLL2 (22%), BRCA2 (14%) and ATM (14%) and the most prevalent copy number alterations were ERBB2 (64%), RAD21 (36%), CCND1 (32%), FGF19 (30%) and FGF3 (30%). The most prevalent GAs were relatively consistent between paired PTs and BMs. Actionable GAs were detected in 94% of all BMs. Consistent rate in actionable GAs was 38% (6/16) between paired PTs/ECMs and BMs. Compared to matched PTs/ECMs, additional actionable GAs (BRAF, FGFR1, PTEN, KIT and CCND1) were discovered in 31% (5/16) of the BMs. CONCLUSIONS: TMB and TILs were relatively low in BCBMs. Comparable consistency in actionable GAs was identified between BCBMs and matched PTs/ECMs. It was, therefore, logical to carry out genomic testing for BCBMs to identify potential new therapeutic targets when BCBM specimens were available, as ∼31% of samples carried additional actionable GAs.
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