Integrative Genomic Analysis of Gemcitabine Resistance in Pancreatic Cancer by Patient-derived Xenograft Models

被引：66

作者：

Yang, Gang ^{[1
]}

Guan, Wenfang ^{[2
]}

Cao, Zhe ^{[1
]}

Guo, Wenbo ^{[2
]}

Xiong, Guangbing ^{[1
]}

Zhao, Fangyu ^{[1
]}

Feng, Mengyu ^{[1
]}

Qiu, Jiangdong ^{[1
]}

Liu, Yueze ^{[1
]}

Zhang, Michael Q. ^{[2
,3
,4
]}

You, Lei ^{[1
]}

Zhang, Taiping ^{[1
]}

Zhao, Yupei ^{[1
]}

Gu, Jin ^{[2
]}

机构：

[1] Chinese Acad Med Sci & Peking Union Med Coll, Peking Union Med Coll Hosp, Dept Gen Surg, State Key Lab Complex Severe & Rare Dis, Beijing, Peoples R China

[2] Tsinghua Univ, Dept Automat, Div BNRist Bioinformat, MOE Key Lab Bioinformat, Beijing, Peoples R China

[3] Tsinghua Univ, Sch Med, Dept Basic Med Sci, Beijing, Peoples R China

[4] Univ Texas Dallas, Ctr Syst Biol, Dept Biol Sci, Richardson, TX 75083 USA

来源：

CLINICAL CANCER RESEARCH | 2021年 / 27卷 / 12期

基金：

中国国家自然科学基金;

关键词：

DUCTAL ADENOCARCINOMA; CISPLATIN RESISTANCE; FOLD CHANGE; CHEMORESISTANCE; SUBTYPES; METHYLATION; EXPRESSION; RESPONSES; THERAPY; DEFINES;

D O I：

10.1158/1078-0432.CCR-19-3975

中图分类号：

R73 [肿瘤学];

学科分类号：

100214 ;

摘要：

Purpose: Gemcitabine is most commonly used for pancreatic cancer. However, the molecular features and mechanisms of the frequently occurring resistance remain unclear. This work aims at exploring the molecular features of gemcitabine resistance and identifying candidate biomarkers and combinatorial targets for the treatment. Experimental Design: In this study, we established 66 patient-derived xenografts (PDXs) on the basis of clinical pancreatic cancer specimens and treated them with gemcitabine. We generated multiomics data (including whole-exome sequencing, RNA sequencing, miRNA sequencing, and DNA methylation array) of 15 drug-sensitive and 13 -resistant PDXs before and after the gemcitabine treatment. We performed integrative computational analysis to identify the molecular networks related to gemcitabine intrinsic and acquired resistance. Then, short hairpin RNA-based high-content screening was implemented to validate the function of the deregulated genes. Results: The comprehensive multiomics analysis and functional experiment revealed that MRPSS and GSPT1 had strong effects on cell proliferation, and CD55 and DHTKDI contributed to gemcitabine resistance in pancreatic cancer cells. Moreover, we found miR-135a-5p was significantly associated with the prognosis of patients with pancreatic cancer and could be a candidate biomarker to predict gemcitabine response. Comparing the molecular features before and after the treatment, we found that PI3K-Akt, p53, and hypoxia-inducible factor-1 pathways were significantly altered in multiple patients, providing candidate target pathways for reducing the acquired resistance. Conclusions: This integrative genomic study systematically investigated the predictive markers and molecular mechanisms of chemoresistance in pancreatic cancer and provides potential therapy targets for overcoming gemcitabine resistance.

引用

页码：3383 / 3396

页数：14

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