Highlights

In brief

Spatial whole-transcriptomic analysis of cancer patients revealed that immune activity persists in tumour tissues months after COVID-19 infections resolve, which may enhance the effectiveness of immunotherapies.

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Lingering viruses make tumours vulnerable

12 Jun 2023

New associations between COVID-19 and immune responses in cancer patients reveal potential inroads to fighting tumours.

When ocean tides retreat, sea creatures can sometimes get trapped in pools on the rocky shore. Similarly, SARS-CoV-2—the virus responsible for the COVID-19 pandemic—can sometimes persist in the body long after symptoms subside, leaving the resident immune cells activated in a state of high alert.

Joe Yeong, Group Leader at A*STAR’s Institute of Molecular & Cell Biology (IMCB), said that this phenomenon may have important implications for patients undergoing cancer treatments that target the immune system. “What concerns us is that the tumour immune microenvironment can alter the efficacy of cancer treatments such as immunotherapies.”

Together with Mai Chan Lau, a Senior Researcher at A*STAR’s Bioinformatics Institute (BII) and IMCB Senior Research Officers Denise Goh and Jeffrey Lim, Yeong’s team forged a collaboration with international researchers involved in the Long Covid Autonomous Communities Together Spain (LongCovidACTS) study as well as researchers from the Duke-NUS Medical School, National Cancer Centre Singapore and Singapore General Hospital.

Through this programme, the team gained access to appendix, skin, and breast tissue samples from two patients who were diagnosed with long COVID. Despite testing PCR negative for SARS-CoV-2, these patients exhibited prolonged and persistent symptoms 163 and 426 days after the infection’s acute phase.

Using spatial transcriptomics (ST), a sequencing technology that tracks changes in gene activity in intact tissues, the scientists aimed to gain insights into how tumour-associated immune cells might behave differently due to residual SARS-CoV-2.

“ST can detect tens of thousands of genes at one go from the same tissue section,” remarked Yeong, who added that the technique can also detect the presence of viral genes.

With liver and colon cancer patients who had previously recovered from COVID-19, the team's analysis revealed active antibody-producing B cells in tissues with traces of SARS-CoV-2, which included the periphery of tumours. The gene activity in these immune cells suggested that an active defence response was still in progress.

Next, they investigated whether this buzz of activity might alter the degree of a tumour’s response to immunotherapy. The team generated predictive scores based on changes to immune gene activity. Surprisingly, they found that tumours harbouring viruses could be more susceptible to the effects of immunotherapy.

The researchers hypothesised that a localised uptick in tumour-killing cells such as T cells and cytotoxic lymphocytes could potentially enhance the therapeutic effects of such cancer treatments.

According to Yeong, population-level studies could help clinicians hone in on cancer patients with long COVID who might respond better to immunotherapy. “I believe the findings have a huge impact on our understanding of virus-driven cancers such as some forms of liver, nose and cervical cancers,” concluded Yeong.

The A*STAR-affiliated researchers contributing to this research are from the Institute of Molecular & Cell Biology (IMCB) and Singapore Immunology Network (SIgN).

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References

Lau, M.C., Yi, Y., Goh, D., Cheung, C.C.L., Tan, B., et al. Case report: Understanding the impact of persistent tissue-localization of SARS-CoV-2 on immune response activity via spatial transcriptomic analysis of two cancer patients with COVID-19 co-morbidity. Frontiers in Immunology 13, 978760 (2022) | article

Goh, D., Chun, Lim, J.C.T., Fernaindez, S.B., Joseph, C.R., Edwards, S.G., et.al. Case report: Persistence of residual antigen and RNA of the SARS-CoV-2 virus in tissues of two patients with long COVID. Frontiers in Immunology 13, 939989 (2022) | article

About the Researchers

Joe Yeong’s main research focus is to understand and overcome the resistance of cancer immunotherapy through the use of advanced technologies and artificial intelligence (AI). As an immunopathologist, his key vision is to bridge the work of immunologists and pathologists. Yeong is a pioneer in spatial technologies and a Stanford/Elsevier Top 2% Scientist with over 130 published papers in the field, and has translated assays to clinical settings. His works on cancer immunology have been included in several national and international funded studies as well as industry-sponsored projects. As a committee member in the World Immunotherapy Council (WIC) under the Society for Immunotherapy of Cancer (SITC), Yeong is among the organisers of the 2019, 2023 and 2025 WIC Global Symposia, as well as WIC multiplex IF expert consensus meetings. In 2023, he co-founded the WIC Asian Chapter for promoting tumour immunology and advancing cancer immunotherapy education, information and research across Asia. Yeong serves as a founding Program Chair of CLINICCAI-MICCAI, one of the world’s largest AI medical imaging conferences; as a founding board member of MICCAI SIG-ComPath; as the Secretary (Executive) of the Singapore Society of Oncology – Cancer Immunotherapy Consortium (SSO-CIC); as a Co-lead in Education/Diagnostics of the Singhealth Duke-NUS Cell Therapy Centre; and as Advisor (Spatial Technology) for the Cancer Discovery Hub at the National Cancer Centre Singapore. Yeong holds editorial roles in Springer Nature, Journal for Immunotherapy of Cancer (JITC) and Journal of Clinical Oncology (JCO), and is Chief Editor at World Scientific. He is also a regular reviewer for JITC, Modern Pathology, Lancet, Nature and other leading journals.
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Mai Chan Lau

Assistant Principal Investigator

Bioinformatics Institute (BII)
Mai Chan Lau is an Assistant Principal Investigator at A*STAR’s Bioinformatics Institute (BII) who also holds a joint appointment where she runs the Computational Immunology Platform at the Singapore Immunology Network. She has diverse experience and AI/ analytics skillsets in RNA, single-cell, immune repertoire, microbiome, and spatial omics research. Her main research focus is on AI-based spatial immunology studies of cancer and infectious diseases. She has developed a novel spatial analysis method, called Tumor-Immune Partitioning and Clustering (TIPC), which resulted in a provisional patent coversheet as a software invention. Lau is leading the AI efforts as part of the industrial grants to develop deep learning prediction model for cancer vaccine and immunotherapy.
Denise Goh is a Senior Research Officer at the A*STAR Institute of Molecular and Cell Biology (A*STAR IMCB). She graduated from the University of Queensland in 2019, where she specialised in immunology in the laboratory of Ian Frazer. In her current position in Joe Yeong’s lab, Goh was involved in multiple local and international collaborations involving biocompatibility for wound healing, COVID-19 and cancer immunology research. She serves as the scientific manager of the team, overseeing grant and manuscript preparation. As an early career researcher, Goh has already published several papers as the co-first author in top journals such as Gut and Nature, and also reviewed for Lancet Infectious Diseases.
Jeffrey Lim is a histology expert and formerly a Senior Research Officer at the A*STAR Institute of Molecular and Cell Biology (A*STAR IMCB). He has extensive experience working and leading teams in hospital diagnostic and research laboratories, and industry. He is interested in the advances of histology and spatial biology.

This article was made for A*STAR Research by Wildtype Media Group