1. Multi-region sampling with paired sample sequencing analyses reveals sub-groups of patients with novel patient-specific dysregulation in Hepatocellular Carcinoma
- Author
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Ah-Jung Jeon, Yue-Yang Teo, Karthik Sekar, Shay Lee Chong, Lingyan Wu, Sin-Chi Chew, Jianbin Chen, Raden Indah Kendarsari, Hannah Lai, Wen Huan Ling, Neslihan Arife Kaya, Jia Qi Lim, Adaikalavan Ramasamy, Gokce Oguz, Alexander Yaw-Fui Chung, Chung Yip Chan, Peng-Chung Cheow, Juinn Huar Kam, Krishnakumar Madhavan, Alfred Kow, Iyer Shridhar Ganpathi, Tony Kiat Hon Lim, Wei-Qiang Leow, Shihleone Loong, Tracy Jiezhen Loh, Wei Keat Wan, Gwyneth Shook Ting Soon, Yin Huei Pang, Boon Koon Yoong, Diana Bee-Lan Ong, Jasmine Lim, Vanessa H. de Villa, Rouchelle D.dela Cruz, Rawisak Chanwat, Jidapa Thammasiri, Glenn K. Bonney, Brian K. P. Goh, Greg Tucker-Kellogg, Roger Sik Yin Foo, and Pierce K. H. Chow
- Subjects
Multi-region sampling ,Patient subgroups ,Personalized medicine ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Abstract Background Conventional differential expression (DE) testing compares the grouped mean value of tumour samples to the grouped mean value of the normal samples, and may miss out dysregulated genes in small subgroup of patients. This is especially so for highly heterogeneous cancer like Hepatocellular Carcinoma (HCC). Methods Using multi-region sampled RNA-seq data of 90 patients, we performed patient-specific differential expression testing, together with the patients’ matched adjacent normal samples. Results Comparing the results from conventional DE analysis and patient-specific DE analyses, we show that the conventional DE analysis omits some genes due to high inter-individual variability present in both tumour and normal tissues. Dysregulated genes shared in small subgroup of patients were useful in stratifying patients, and presented differential prognosis. We also showed that the target genes of some of the current targeted agents used in HCC exhibited highly individualistic dysregulation pattern, which may explain the poor response rate. Discussion/conclusion Our results highlight the importance of identifying patient-specific DE genes, with its potential to provide clinically valuable insights into patient subgroups for applications in precision medicine.
- Published
- 2023
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