Exploring the heterogeneity of immune cell infiltration pattern in liver cancer based on RNA-seq data deconvolution

Heyang Wang; Pan Liu

doi:10.1117/12.3036670

13 July 2024 Exploring the heterogeneity of immune cell infiltration pattern in liver cancer based on RNA-seq data deconvolution

Heyang Wang, Pan Liu

Author Affiliations +

Proceedings Volume 13208, Third International Conference on Biomedical and Intelligent Systems (IC-BIS 2024); 132080J (2024) https://doi.org/10.1117/12.3036670
Event: 3rd International Conference on Biomedical and Intelligent Systems (IC-BIS 2024), 2024, Nanchang, China

Abstract

Primary liver cancer is a prevalent malignancy in the digestive system and represents the third leading cause of cancerrelated deaths globally. The tumor microenvironment, consisting of various immune cells and the extracellular matrix, interacts with cancer cells, influencing liver cancer progression. Our comprehensive investigation into the immune microenvironment utilized RNA-seq data from the TCGA database, analyzed via CIBERSORTx software. We identified key immune cell populations, including CD4 memory resting T cells, CD8 T cells, and Macrophages M0 and M2, pervasive throughout all liver cancer stages. Notably, resting NK cell levels were significantly higher in stage 1 and stage 3 patients, while Macrophages M0 were lower in stage 1 compared to stage 2. CD4 memory resting T cells were elevated in stages I and IV. Furthermore, longer survival correlated with lower Tregs and Macrophages M0, but higher CD8 T cells. Histological grading showed a decrease in resting NK cells, Monocytes, Macrophages M2, and resting Mast cells from primary to secondary patients. This study highlights the heterogeneity of immune cell infiltration patterns in liver cancer across different stages, survival durations, and histological grades, advocating for personalized immunotherapeutic strategies to accommodate the diverse disease backgrounds of patients.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Heyang Wang and Pan Liu "Exploring the heterogeneity of immune cell infiltration pattern in liver cancer based on RNA-seq data deconvolution", Proc. SPIE 13208, Third International Conference on Biomedical and Intelligent Systems (IC-BIS 2024), 132080J (13 July 2024); https://doi.org/10.1117/12.3036670

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
7 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Tumors

Liver cancer

Tissues

Cancer

Deconvolution

Diseases and disorders

Liver

Show All Keywords

Keywords/Phrases

Search In:

Publication Years