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OpenAlex, 2023

DOI: 10.60692/1cyb0-zvb08

OpenAlex, 2023

DOI: 10.60692/vjx1h-92e44

BioMed Central, BMC Cancer, 1(23), 2023

DOI: 10.1186/s12885-022-10444-3

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Multi-region sampling with paired sample sequencing analyses reveals sub-groups of patients with novel patient-specific dysregulation in Hepatocellular Carcinoma

Journal article published in 2023 by Ah‐Jung Jeon, Ah-Jung Jeon, Yue-Yang Teo, Yue-Yang Teo, Karthik Sekar, Karthik Sekar, Shay Lee Chong, Shay Lee Chong, Lingyan Wu, Lingyan Wu, Sin-Chi Chew, Sin-Chi Chew, Jianbin Chen, Jianbin Chen, Raden Indah Kendarsari and other authors.
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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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.