radioGWAS links radiome to genome to discover driver genes with somatic mutations for heterogeneous tumor image phenotype in pancreatic cancer

被引：0

作者：

Zheng, Dandan ^{[1
]}

Grandgenett, Paul M. ^{[2
]}

Zhang, Qi ^{[3
]}

Baine, Michael ^{[4
]}

Shi, Yu ^{[5
]}

Du, Qian ^{[5
]}

Liang, Xiaoying ^{[6
]}

Wong, Jeffrey ^{[4
]}

Iqbal, Subhan ^{[5
]}

Preuss, Kiersten ^{[7
]}

Kamal, Ahsan ^{[4
]}

Yu, Hongfeng ^{[8
]}

Du, Huijing ^{[9
]}

Hollingsworth, Michael A. ^{[2
]}

Zhang, Chi ^{[5
]}

机构：

[1] Univ Rochester, Med Ctr, Dept Radiat Oncol, Rochester, NY 14642 USA

[2] Univ Nebraska Med Ctr, Eppley Inst Res Canc & Allied Dis, Omaha, NE 68198 USA

[3] Univ New Hampshire, Dept Math & Stat, Durham, NH USA

[4] Univ Nebraska Med Ctr, Dept Radiat Oncol, Omaha, NE USA

[5] Univ Nebraska, Sch Biol Sci, Lincoln, NE 68588 USA

[6] Mayo Clin, Dept Radiat Oncol, Jacksonville, FL USA

[7] Univ Nebraska, Dept Nutr & Hlth Sci, Lincoln, NE USA

[8] Univ Nebraska, Sch Comp, Lincoln, NE USA

[9] Univ Nebraska, Dept Math, Lincoln, NE USA

来源：

SCIENTIFIC REPORTS | 2024年 / 14卷 / 01期

基金：

美国国家卫生研究院;

关键词：

CLINICAL-SIGNIFICANCE; KRAS; LANDSCAPE; SUBTYPES; BIOLOGY;

D O I：

10.1038/s41598-024-62741-5

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

Addressing the significant level of variability exhibited by pancreatic cancer necessitates the adoption of a systems biology approach that integrates molecular data, biological properties of the tumors, medical images, and clinical features of the patients. In this study, a comprehensive multi-omics methodology was employed to examine a distinctive collection of patient dataset containing rapid autopsy tumor and normal tissue samples as well as longitudinal imaging with a focus on pancreatic cancer. By performing a whole exome sequencing analysis on tumor and normal tissues to identify somatic gene variants and a radiomic feature analysis to tumor CT images, the genome-wide association approach established a connection between pancreatic cancer driver genes and relevant radiomic features, enabling a thorough and quantitative assessment of the heterogeneity of pancreatic tumors. The significant association between sets of genes and radiomic features revealed the involvement of genes in shaping tumor morphological heterogeneity. Some results of the association established a connection between the molecular level mechanism and their outcomes at the level of tumor structural heterogeneity. Because tumor structure and tumor structural heterogeneity are related to the patients' overall survival, patients who had pancreatic cancer driver gene mutations with an association to a certain radiomic feature have been observed to experience worse survival rates than cases without these somatic mutations. Furthermore, the association analysis has revealed potential gene mutations and radiomic feature candidates that warrant further investigation in future research endeavors.

引用

页数：13