Gonzalez-Bosquet Jesus, Weroha S John, Bakkum-Gamez Jamie N, Weaver Amy L, McGree Michaela E, Dowdy Sean C, Famuyide Abimbola O, Kipp Benjamin R, Halling Kevin C, Yadav Siddhartha, Couch Fergus J, Podratz Karl C
Department of Obstetrics and Gynecology, University of Iowa, Iowa City, IA, United States.
Division of Medical Oncology, Mayo Clinic, Rochester, MN, United States.
Front Oncol. 2023 May 23;13:1105504. doi: 10.3389/fonc.2023.1105504. eCollection 2023.
To identify high-risk disease in clinicopathologic low-risk endometrial cancer (EC) with high microsatellite instability (MSI-H) or no specific molecular profile (NSMP) and therapeutic insensitivity in clinicopathologic high-risk MSI-H/NSMP EC.
We searched The Cancer Genome Atlas for DNA sequencing, RNA expression, and surveillance data regarding MSI-H/NSMP EC. We used a molecular classification system of and expression and sequence variations in , , or (ECPPF) to prognostically stratify MSI-H/NSMP ECs. Clinical outcomes were annotated after integrating ECPPF and sequence variations in homologous recombination (HR) genes.
Data were available for 239 patients with EC, which included 58 MSI-H and 89 NSMP cases. ECPPF effectively stratified MSI-H/NSMP EC into distinct molecular groups with prognostic implications: molecular low risk (MLR), with low and expression, and molecular high risk (MHR), with high and expression and/or and/or variants. The 3-year disease-free survival (DFS) rate was 43.8% in the MHR group with clinicopathologic low-risk indicators and 93.9% in the MLR group (<.001). In the MHR group, wild-type HR genes were present in 28% of cases but in 81% of documented recurrences. The 3-year DFS rate in patients with MSI-H/NSMP EC with clinicopathologic high-risk indicators was significantly higher in the MLR (94.1%) and MHR/HR variant gene (88.9%) groups than in the MHR/HR wild-type gene group (50.3%, <.001).
ECPPF may resolve prognostic challenges for MSI-H/NSMP EC by identifying occult high-risk disease in EC with clinicopathologic low-risk indicators and therapeutic insensitivity in EC with clinicopathologic high-risk indicators.
识别临床病理低风险的微卫星高度不稳定(MSI-H)或无特定分子特征(NSMP)的子宫内膜癌(EC)中的高风险疾病,以及临床病理高风险的MSI-H/NSMP EC中的治疗不敏感性。
我们在癌症基因组图谱中搜索有关MSI-H/NSMP EC的DNA测序、RNA表达和监测数据。我们使用一种基于 、 和 表达以及 、 或 序列变异的分子分类系统(ECPPF)对MSI-H/NSMP EC进行预后分层。在整合ECPPF和同源重组(HR)基因的序列变异后注释临床结局。
有239例EC患者的数据可用,其中包括58例MSI-H和89例NSMP病例。ECPPF有效地将MSI-H/NSMP EC分层为具有预后意义的不同分子组:分子低风险(MLR), 和 表达低;分子高风险(MHR), 和 表达高和/或 和/或 变异。具有临床病理低风险指标的MHR组的3年无病生存率(DFS)为43.8%,MLR组为93.9%(<0.001)。在MHR组中,28%的病例存在野生型HR基因,但在记录的复发病例中占81%。具有临床病理高风险指标的MSI-H/NSMP EC患者中,MLR组(94.1%)和MHR/HR变异基因组(88.9%)的3年DFS率显著高于MHR/HR野生型基因组(50.3%,<0.001)。
ECPPF可能通过识别临床病理低风险指标的EC中的隐匿性高风险疾病以及临床病理高风险指标的EC中的治疗不敏感性来解决MSI-H/NSMP EC的预后挑战。