Researchers find potential new strategy to treat metastatic form of intra-abdominal cancer

Researchers from the National Cancer Centre Singapore (NCCS) have found a potential new strategy to treat peritoneal carcinomatosis, a metastatic form of intra-abdominal cancer, where patients are presented with limited treatment options and poor overall survival. Published in Cell Reports Medicine on 15 February 2022, the findings provide a way to identify more effective treatments for patients with metastatic intra-abdominal cancers by targeting what fuels cancer cells.

A widely accepted scientific hypothesis is that cancer ("seed") spreads onto the organ surfaces ("soil") through a series of complex interactions in the body. Most cancer treatments directly target the "seed" such as through the use of chemotherapy, which inhibits cancer cell division. In the last nine years, immunotherapy has become increasingly popular as a means of cancer treatment, altering the "soil" by enlisting the body's immune system to target cancer cells. In this latest research from the Laboratory of Applied Human Genetics at NCCS, findings show it is possible to target "water" to create an arid environment thus making it inhospitable for tumour cell growth.

The team of researchers, led by NCCS clinician-scientist Assistant Professor Chin-Ann Johnny Ong, identified that ascites, excess fluid ("water") present in the abdomen of patients with metastatic intra-abdominal cancers, can be directly targeted to remove the fuel that drives cancer growth. By interrogating the proteins in ascites, the team found that PAI-1 (plasminogen activator inhibitor 1) is a good marker of response to direct inhibition and could potentially curb cancer cell proliferation. Prior to the team's discovery, PAI-1 was not known to be related to the growth of intra-abdominal cancers.
Using biological samples from 150 intra-abdominal cancer patients, Asst Prof Ong and team further identified a panel of three biomarkers that could predict patient outcomes as well as responsiveness to PAI-1 therapy. The findings were confirmed with models incorporating the tripartite combination of "seed", "soil" and "water".

Our study not only highlights a novel treatment strategy for peritoneal carcinomatosis, it also provides the foundation for the development of a new translational research therapeutic programme at NCCS. In addition, the concept of targeting water beyond the traditional view of seed and soil potentially paves the way for a paradigm shift in how cancers can be treated."

Asst Prof Chin-Ann Johnny Ong, Consultant, Department of Sarcoma, Peritoneal and Rare Tumours (SPRinT), Division of Surgery and Surgical Oncology, Singapore General Hospital and National Cancer Centre Singapore

Asst Prof Ong treats patients with peritoneal carcinomatosis and is the Principal Investigator of the study.

The research team is currently working with multiple government agencies and pharmaceutical partners to harness the research findings of this study to realise the potential of targeting "water" in cancer patients.

This research is supported by the Singapore Ministry of Health (MOH)'s National Medical Research Council (NMRC) under its Transition Award (NMRC/TA/0061/2017) and the National Research Foundation Singapore under its Open Fund – Large Collaborative Grant (MOH-000206).

Source:
Journal reference:

Hendrikson, J., et al. (2022) Ligand-mediated PAI-1 inhibition in a mouse model of peritoneal carcinomatosis. Cell Reports Medicine. doi.org/10.1016/j.xcrm.2022.100526.

Comments

The opinions expressed here are the views of the writer and do not necessarily reflect the views and opinions of News Medical.
Post a new comment
Post

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.

You might also like...
How AI is advancing mammographic density-based breast cancer risk prediction