New Hope for Colorectal Cancer Treatment
Researchers explore poly(I:C) to enhance immune response in colorectal cancer.
Shania M Corry, Svetlana Sakhnevych, Noha Ehssan Mohamed, Sudhir B Malla, Ryan Byrne, Andrew Young, Raheleh Amirkhah, Courtney Bull, Andrea Lees, Keara Redmond, Tamsin Lannagan, Rachel Ridgway, Fiona R Taggart, Natalie C Fisher, Tim Maughan, Mark Lawler, Andrew Campbell, Simon J Leedham, Aideen E Ryan, Dan B Longley, Donna Small, Owen J Sansom, Philip D Dunne
― 7 min read
Table of Contents
- Subtypes of Colorectal Cancer
- The Challenge of Treating Stroma-Rich Tumors
- Poly(I:C) and Its Role in Cancer Treatment
- How Poly(I:C) Works
- Examining the Immune Response
- Effects on Cancer Epithelial Cells
- The Activation of Key Signaling Proteins
- Exploring the Gene Response
- Building Gene Signatures
- Cross-Comparing Tumor Types
- The Immune Phenotype
- Shifting the Macrophage Balance
- The Remarkable Epithelial Shift
- The Regenerative Stem Cell State
- Conclusion: The Future of CRC Treatment
- Original Source
- Reference Links
Colorectal cancer (CRC) is a type of cancer that develops in the colon or rectum. It’s a tricky disease because not all CRC is the same; different types can behave very differently. Researchers categorize CRC into groups based on their biological characteristics to better understand how to treat them.
Subtypes of Colorectal Cancer
CRC has four major biological subtypes known as consensus molecular subtypes (CMS). These subtypes help doctors determine how a tumor might behave and respond to treatment. Among these, two notable groups are CMS1 and CMS4.
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CMS1: This subtype is known for its favorable response to certain immune treatments. It typically shows up with a lot of immune activity.
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CMS4: In contrast, CMS4 tumors don't respond well to standard treatments, making them harder to treat.
Another grouping, called the pathway-derived subtypes (PDS), combines these two subtypes into one category to help researchers see patterns in how cancer behaves.
The Challenge of Treating Stroma-Rich Tumors
CMS4 tumors represent a major challenge in treatment. They are “stroma-rich,” which means they have a lot of connective tissue. This tissue can make it hard for treatments to reach the cancer cells. Research has shown that tumors in this category tend to relapse; in other words, they come back after treatment.
Scientists have been investigating new treatment options specifically for these tough-to-treat tumors. They found that within the CMS4 subtype, there are two distinct groups with different behaviors. Some tumors showed better responses to treatments due to signals from the immune system.
Poly(I:C) and Its Role in Cancer Treatment
One promising treatment option that researchers are exploring is a compound called poly(I:C). This substance can mimic viral infections, leading to an immune response. Poly(I:C) has shown potential in activating immune responses that could help in reducing metastasis (the spread of cancer to other parts of the body) in stroma-rich cancers.
In lab tests, researchers observed that poly(I:C) could lead to a much lower rate of liver metastasis in specific cancer models. This is like sending in reinforcements to battle the troops of cancer spreading through the liver.
How Poly(I:C) Works
When poly(I:C) is introduced to tumor models, it stimulates the immune system to activate. Observations in the lab indicated that this compound encouraged the growth of certain immune cells known as CD8+ T cells. These are like the special forces of the immune system, trained to attack cancer cells. The more CD8+ cells are present, the less tumor there is to fight against.
Thus, poly(I:C) treatment can change the tumor environment into a less friendly place for cancer cells by encouraging these immune warriors to take action.
Examining the Immune Response
To further study how poly(I:C) works, researchers looked closely at how different cell types in tumors respond. They found that poly(I:C) treatment caused different responses in cancer cells and immune cells.
Effects on Cancer Epithelial Cells
In cancers, poly(I:C) treatment had various effects. For instance, a specific cancer cell line, HCT116, showed a significant death rate when exposed to poly(I:C). The treatment triggered cell death by activating certain processes in the cells, namely caspases, which are like the executioners in the programmed cell death process.
In contrast, immune cells called THP-1 derived Macrophages displayed a different response. They showed resilience and did not die when exposed to poly(I:C), signaling that this treatment could potentially stimulate immune cells without harming them.
The Activation of Key Signaling Proteins
When cancer cells were exposed to poly(I:C), researchers noticed activation in proteins that are key to immune responses, such as STAT1 and NF-kB. These proteins are essential for regulating genes that help fight infections and regulate inflammation. In simpler terms, they are like the team leaders in a military operation, sending out orders to the rest of the immune system.
On the other hand, THP-1 derived macrophages did not show similar activation of NF-kB, which indicates that their response is quite unique compared to cancer cells.
Exploring the Gene Response
To go deeper into how poly(I:C) works, scientists looked at the genes that were turned on or off when cells were treated. They wanted to see if the treatment changed how cells communicated and responded to each other.
Building Gene Signatures
By studying gene expression after poly(I:C) treatment, researchers discovered distinct sets of genes that were activated in cancer cells versus immune cells. They created poly(I:C) response signatures, which are like a playlist of genes that tell us how cells are likely to respond to treatment.
These signatures provided a way to measure how well poly(I:C) promotes beneficial immune responses and influences tumor behavior.
Cross-Comparing Tumor Types
Researchers also compared these gene signatures across different types of CRC. It turned out that tumors responding well to poly(I:C) resembled CMS1 tumors, which are associated with better immune responses. Conversely, CMS4 tumors did not show the same responsiveness.
This comparison reveals a potential pathway for targeting treatments toward specific types of CRC based on their genetic profiles and how they may respond to poly(I:C).
The Immune Phenotype
Macrophages, a type of immune cell, can take on different roles. They can either help fight tumors (pro-inflammatory M1-like phenotype) or help tumors grow (anti-inflammatory M2-like phenotype).
Shifting the Macrophage Balance
In studies involving poly(I:C), researchers noticed an increase in M1-like macrophage characteristics when treated with the compound. This is fantastic news because a balance tipped in favor of the M1 phenotype means the immune system is more prepared to fight the tumor.
This shift was not only seen in lab settings but also reflected in human tumor samples. These findings suggest that poly(I:C) could be a critical element in shifting the immune environment in CRC towards one that fights cancer more effectively.
The Remarkable Epithelial Shift
Not only did poly(I:C) affect immune cells, but it also impacted the cancer cells themselves. Epithelial cells that responded to poly(I:C) began to show traits more aligned with a healthier, regenerative state.
The Regenerative Stem Cell State
The treatment brought out a regenerative stem cell-like condition in cancer cells. This suggests that instead of just dying off, the cells are being pushed towards a state that might help keep the cancer at bay and maintain tissue health. However, the changes were still subtle and required further study to fully understand their implications.
Conclusion: The Future of CRC Treatment
The potential for poly(I:C) to trigger beneficial immune responses in colorectal cancer presents a promising avenue for future treatments. The combined effects on both the immune system and the tumor cells themselves could lead to a more effective strategy for managing this challenging disease.
As more research is carried out, scientists hope to identify the best ways to use poly(I:C) in combination with existing treatments to improve outcomes for patients suffering from colorectal cancer. It’s an exciting time in the world of cancer research, and perhaps one day, poly(I:C) will help turn the tide in the fight against this complex disease.
In the meantime, researchers are optimistic, fueled by the hope that with every study, we’re getting a little closer to finding the best ways to outsmart colorectal cancer-after all, it’s a game of wits, and the stakes couldn’t be higher!
Title: Viral mimicry redirects immunosuppressed colorectal tumour landscapes towards a proinflammatory and CMS1-like regenerative state
Abstract: In colorectal cancer (CRC), tumours classifier as consensus molecular subtype 4 (CMS4) have the worst prognosis and derive negligible benefit from chemotherapy. We previously described how repressed interferon-related signalling is associated with increased relapse in CMS4 tumours. Although the viral mimetic poly(I:C) can reduce liver metastasis in vivo, the initial phenotypic changes that underpin its anti-metastatic response remain poorly described, particularly in the immunosuppressed CMS4 tumour microenvironment. Here we characterise lineage-specific anti-metastatic responses induced by poly(I:C), including acute macrophage polarisation and a novel CMS1-like regenerative stem cell state, which drive pro-inflammatory microenvironmental changes in CRC. These insights enabled the development of tractable biomarkers that identify an "immune-warm" patient subset most likely to respond to poly(I:C), enriched for mismatch-repair proficient (pMMR), anti-inflammatory macrophages and CMS4-like features. The viral mimetic poly(I:C) offers a tailored treatment option for CMS4 tumours, by reprogramming stem cell states and activation of an innate-adaptive anti-metastatic response.
Authors: Shania M Corry, Svetlana Sakhnevych, Noha Ehssan Mohamed, Sudhir B Malla, Ryan Byrne, Andrew Young, Raheleh Amirkhah, Courtney Bull, Andrea Lees, Keara Redmond, Tamsin Lannagan, Rachel Ridgway, Fiona R Taggart, Natalie C Fisher, Tim Maughan, Mark Lawler, Andrew Campbell, Simon J Leedham, Aideen E Ryan, Dan B Longley, Donna Small, Owen J Sansom, Philip D Dunne
Last Update: 2024-12-03 00:00:00
Language: English
Source URL: https://www.biorxiv.org/content/10.1101/2024.11.28.625928
Source PDF: https://www.biorxiv.org/content/10.1101/2024.11.28.625928.full.pdf
Licence: https://creativecommons.org/licenses/by/4.0/
Changes: This summary was created with assistance from AI and may have inaccuracies. For accurate information, please refer to the original source documents linked here.
Thank you to biorxiv for use of its open access interoperability.