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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
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 Hepatocellula...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9896715/ https://www.ncbi.nlm.nih.gov/pubmed/36737737 http://dx.doi.org/10.1186/s12885-022-10444-3 |
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author | Jeon, Ah-Jung Teo, Yue-Yang Sekar, Karthik Chong, Shay Lee Wu, Lingyan Chew, Sin-Chi Chen, Jianbin Kendarsari, Raden Indah Lai, Hannah Ling, Wen Huan Kaya, Neslihan Arife Lim, Jia Qi Ramasamy, Adaikalavan Oguz, Gokce Chung, Alexander Yaw-Fui Chan, Chung Yip Cheow, Peng-Chung Kam, Juinn Huar Madhavan, Krishnakumar Kow, Alfred Ganpathi, Iyer Shridhar Lim, Tony Kiat Hon Leow, Wei-Qiang Loong, Shihleone Loh, Tracy Jiezhen Wan, Wei Keat Soon, Gwyneth Shook Ting Pang, Yin Huei Yoong, Boon Koon Ong, Diana Bee-Lan Lim, Jasmine de Villa, Vanessa H. Cruz, Rouchelle D.dela Chanwat, Rawisak Thammasiri, Jidapa Bonney, Glenn K. Goh, Brian K. P. Tucker-Kellogg, Greg Foo, Roger Sik Yin Chow, Pierce K. H. |
author_facet | Jeon, Ah-Jung Teo, Yue-Yang Sekar, Karthik Chong, Shay Lee Wu, Lingyan Chew, Sin-Chi Chen, Jianbin Kendarsari, Raden Indah Lai, Hannah Ling, Wen Huan Kaya, Neslihan Arife Lim, Jia Qi Ramasamy, Adaikalavan Oguz, Gokce Chung, Alexander Yaw-Fui Chan, Chung Yip Cheow, Peng-Chung Kam, Juinn Huar Madhavan, Krishnakumar Kow, Alfred Ganpathi, Iyer Shridhar Lim, Tony Kiat Hon Leow, Wei-Qiang Loong, Shihleone Loh, Tracy Jiezhen Wan, Wei Keat Soon, Gwyneth Shook Ting Pang, Yin Huei Yoong, Boon Koon Ong, Diana Bee-Lan Lim, Jasmine de Villa, Vanessa H. Cruz, Rouchelle D.dela Chanwat, Rawisak Thammasiri, Jidapa Bonney, Glenn K. Goh, Brian K. P. Tucker-Kellogg, Greg Foo, Roger Sik Yin Chow, Pierce K. H. |
author_sort | Jeon, Ah-Jung |
collection | PubMed |
description | 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-022-10444-3. |
format | Online Article Text |
id | pubmed-9896715 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-98967152023-02-04 Multi-region sampling with paired sample sequencing analyses reveals sub-groups of patients with novel patient-specific dysregulation in Hepatocellular Carcinoma Jeon, Ah-Jung Teo, Yue-Yang Sekar, Karthik Chong, Shay Lee Wu, Lingyan Chew, Sin-Chi Chen, Jianbin Kendarsari, Raden Indah Lai, Hannah Ling, Wen Huan Kaya, Neslihan Arife Lim, Jia Qi Ramasamy, Adaikalavan Oguz, Gokce Chung, Alexander Yaw-Fui Chan, Chung Yip Cheow, Peng-Chung Kam, Juinn Huar Madhavan, Krishnakumar Kow, Alfred Ganpathi, Iyer Shridhar Lim, Tony Kiat Hon Leow, Wei-Qiang Loong, Shihleone Loh, Tracy Jiezhen Wan, Wei Keat Soon, Gwyneth Shook Ting Pang, Yin Huei Yoong, Boon Koon Ong, Diana Bee-Lan Lim, Jasmine de Villa, Vanessa H. Cruz, Rouchelle D.dela Chanwat, Rawisak Thammasiri, Jidapa Bonney, Glenn K. Goh, Brian K. P. Tucker-Kellogg, Greg Foo, Roger Sik Yin Chow, Pierce K. H. BMC Cancer Research 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-022-10444-3. BioMed Central 2023-02-03 /pmc/articles/PMC9896715/ /pubmed/36737737 http://dx.doi.org/10.1186/s12885-022-10444-3 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Jeon, Ah-Jung Teo, Yue-Yang Sekar, Karthik Chong, Shay Lee Wu, Lingyan Chew, Sin-Chi Chen, Jianbin Kendarsari, Raden Indah Lai, Hannah Ling, Wen Huan Kaya, Neslihan Arife Lim, Jia Qi Ramasamy, Adaikalavan Oguz, Gokce Chung, Alexander Yaw-Fui Chan, Chung Yip Cheow, Peng-Chung Kam, Juinn Huar Madhavan, Krishnakumar Kow, Alfred Ganpathi, Iyer Shridhar Lim, Tony Kiat Hon Leow, Wei-Qiang Loong, Shihleone Loh, Tracy Jiezhen Wan, Wei Keat Soon, Gwyneth Shook Ting Pang, Yin Huei Yoong, Boon Koon Ong, Diana Bee-Lan Lim, Jasmine de Villa, Vanessa H. Cruz, Rouchelle D.dela Chanwat, Rawisak Thammasiri, Jidapa Bonney, Glenn K. Goh, Brian K. P. Tucker-Kellogg, Greg Foo, Roger Sik Yin Chow, Pierce K. H. Multi-region sampling with paired sample sequencing analyses reveals sub-groups of patients with novel patient-specific dysregulation in Hepatocellular Carcinoma |
title | Multi-region sampling with paired sample sequencing analyses reveals sub-groups of patients with novel patient-specific dysregulation in Hepatocellular Carcinoma |
title_full | Multi-region sampling with paired sample sequencing analyses reveals sub-groups of patients with novel patient-specific dysregulation in Hepatocellular Carcinoma |
title_fullStr | Multi-region sampling with paired sample sequencing analyses reveals sub-groups of patients with novel patient-specific dysregulation in Hepatocellular Carcinoma |
title_full_unstemmed | Multi-region sampling with paired sample sequencing analyses reveals sub-groups of patients with novel patient-specific dysregulation in Hepatocellular Carcinoma |
title_short | Multi-region sampling with paired sample sequencing analyses reveals sub-groups of patients with novel patient-specific dysregulation in Hepatocellular Carcinoma |
title_sort | multi-region sampling with paired sample sequencing analyses reveals sub-groups of patients with novel patient-specific dysregulation in hepatocellular carcinoma |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9896715/ https://www.ncbi.nlm.nih.gov/pubmed/36737737 http://dx.doi.org/10.1186/s12885-022-10444-3 |
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