吉西他滨
HMGA2型
胰腺癌
肿瘤科
内科学
医学
免疫组织化学
间皮素
队列
病理
癌症研究
化疗
生物
癌症
小RNA
基因
生物化学
作者
N. Yamamoto,Stephanie Dobersch,Ian Loveless,Annie N. Samraj,Gun Ho Jang,Miki Haraguchi,Liang‐I Kang,Marianna B. Ruzinova,Kiran Vij,Jacqueline L. Mudd,Thomas Walsh,Rachael A Safyan,E. Gabriela Chiorean,Sunil R. Hingorani,Nathan M. Bolton,Li Li,Ryan C. Fields,David G. DeNardo,Faiyaz Notta,Howard C. Crawford,Nina G. Steele,Sita Kugel
标识
DOI:10.1158/1078-0432.ccr-24-2200
摘要
Abstract Purpose: To establish HMGA2 as a marker of basal-like disease in pancreatic ductal adenocarcinoma (PDAC) and explore its use as a biomarker for prognosis and treatment resistance. Experimental Design: We identified high expression of HMGA2 in basal PDAC cells in a scRNAseq Atlas of 172 patient samples. We then analyzed HMGA2 expression, along with expression of the classical marker GATA6, in a cohort of 580 PDAC samples with multiplex immunohistochemistry. We further supplemented these data with an additional 30 diverse patient samples and multiple independent single-cell RNAseq databases. Results: We found that expression of HMGA2, but not previously described basal markers CK5 or CK17, predicted overall survival in our cohort. Combining HMGA2 and GATA6 status allowed for identification of two key study groups: an HMGA2+/GATA6- cohort with worse survival, low tumor-infiltrating CD8+ T cells, increased FAP+ fibroblasts, and poorer response to gemcitabine-based chemotherapies (n=94, median survival=11.2 months post-surgery); and an HMGA2-/GATA6+ cohort with improved survival, increased CD8+ T-cell infiltrate, decreased FAP+ fibroblasts, and improved survival with gemcitabine-based chemotherapy (n=198, median survival=21.7 months post-surgery). HMGA2 was also prognostic for overall survival in RNA sequencing from an independent cohort. Conclusions: IHC stratification of primary tumors by HMGA2 and GATA6 status in pancreatic cancer is associated with differential outcomes, survival following chemotherapy, and tumor microenvironments. As a nuclear marker for basal disease, HMGA2 complements GATA6 to identify disease subtypes in PDAC.
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