Medical scientists describe optimal immune therapeutic strategies for liver cancer

Medical scientists describe optimal immune therapeutic strategies for liver cancer
Schematic image of study. Credit: KAIST

KAIST medical scientists have presented a novel pathways involving T immune cell exhaustion, providing evidence and rationale for designing optimal strategies for immune checkpoint blockades in cancer patients.

They succeeded in distinguishing the hepatocellular carcinoma group from the exhausted tumor-infiltrating immune cell composition of liver . The noble immune therapeutics study, conducted in collaboration with Asan Medical Center, confirmed the applicability for liver patients, providing a new path for customized medicine as well as a new model for translational research.

When cancer occurs, the body activates T cells to remove . The tumor constitutes an environment for inhibiting T-cell function. At this time, the infiltrating T cells are delivered to the cell surface as PD-1 protein. Its activity decreases and is then exhausted.

The immune system is able to destroy cancer cells, but sometimes, cancer cells can adapt and mutate, effectively hiding from the immune system. One of the mechanisms that has evolved to prevent destruction by the is to functionally silence effector T cells, termed T-cell exhaustion, a process mainly mediated by immune checkpoint molecules such as PD-1, TIM-3 and LAG-3.

Recent breakthroughs and encouraging clinical results with immune checkpoint inhibitors (ICIs) such as anti-PD-1 (mAbs) and anti-CTLA-4 mAbs have tremendous potential to control cancer by immune activation. Immune checkpoint inhibitors show significant clinical benefit in several types of cancers, leading to their wide application in clinical practice.

Anti-PD1-blocking antibodies are among the most representative agents in this class of drug. However, it has been challenging to understand the biological and clinical significance of T-cell exhaustion in cancer. A KAIST led by Professor Su-Hyung Park now reports the heterogeneity of T-cell exhaustion in hepatocellular carcinoma (HCC) and its potential clinical implication in Gastroenterology on December 4.

The team revealed heterogeneous T-cell exhaustion status determined by differential PD-1 expression levels in CD8+ T cells in HCC. The authors found that tumor-infiltrating CD8+ T cells with high PD-1 expression (PD-1high CD8+ TILs) from HCC patients are functionally impaired and deliver other immune checkpoint receptors such as TIM-3 and/or LAG3, compared to those with low PD-1 expression (PD-1low CD8+ TILs).

Moreover, based on these results, the authors defined two distinct subgroups of HCC patients according to the presence or absence of PD-1high CD8+ TILs. They found that HCC patients with PD-1high CD8+ TILs were associated with more aggressive biological tumor features and biomarkers, predicting their response to anti-PD1 therapy. Also, the research team demonstrated that only HCC patients having PD-1high CD8+ TILs had tumor-infiltrating CD8+ T expressing multiple immune checkpoint receptors that could be further reinvigorated by combined immune checkpoint blockades.

Prof. Park said, "The new classification of HCC patients identified by this study can be utilized as a biomarker to predict the response of current cancer immunotherapy (anti-PD-1 therapy)." He also said they will continue to conduct research on T-cell exhaustion and activation in various types of cancer, which could lead to better understanding of T-cell response against cancer, thereby providing evidence for future cancer immunotherapy to achieve the ultimate goal to prolong survival of cancer patients.

More information: Hyung-Don Kim et al, Association Between Expression Level of PD1 by Tumor-Infiltrating CD8+ T Cells and Features of Hepatocellular Carcinoma, Gastroenterology (2018). DOI: 10.1053/j.gastro.2018.08.030

Journal information: Gastroenterology

Citation: Medical scientists describe optimal immune therapeutic strategies for liver cancer (2018, December 28) retrieved 22 September 2023 from
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