Category: Uncategorized

https://www2.healthservice.hse.ie/organisation/nss/news/working-with-community-pharmacies-bowelscreen

• Pharmacies that opt into the BowelScreen services under the Community Pharmacy Agreement 2025 will complete the BowelScreen education modules by the end of September 2026. 
• We will continue working with the IPU to implement the Community Pharmacy Agreement 2025. We are developing a pharmacy promotional campaign. This involves the development of promotional materials on prescription bags to encourage people to talk to their community pharmacy teams about BowelScreen.
• We will support this in-pharmacy campaign by developing an extensive public communications campaign to promote the supportive role community pharmacies can play for people who want to get support or information about BowelScreen.

Home screening test to detect signs of bowel cancer:

https://www2.hse.ie/conditions/bowel-screening/home-screening

Immunotherapy given before surgery has changed the way many patients with a specific type of bowel cancer (called dMMR colorectal cancer) are treated. Studies show that these medicines can completely destroy cancer in the bowel and nearby lymph nodes in many patients. This suggests that lymph nodes are not just places where cancer spreads, but also play an important role in helping the immune system recognise and attack cancer cells.

However, standard scans are not very good at showing how well immunotherapy has worked. Lymph nodes can remain enlarged because of inflammation caused by the immune response, even when all the cancer has been eliminated. This means scans may suggest cancer is still present when it is not. To make the best treatment decisions, doctors need to combine scan results with other information, such as endoscopy, tissue analysis, and newer tests like blood-based tumour DNA (ctDNA).

These limitations are important because inaccurate scan results could lead to unnecessary surgery or more intensive treatment than a patient actually needs. Researchers are developing better ways to assess treatment response, including advanced imaging and blood tests, to distinguish active cancer from immune-related changes.

For now, surgery with removal of nearby lymph nodes remains the standard treatment for patients with operable dMMR colon cancer. In rectal cancer, avoiding surgery may be possible for some patients who have a complete response to immunotherapy, but only after careful assessment in experienced centres. Whether surgery or lymph node removal can be safely reduced in more patients remains an important question for future research. As more evidence becomes available, a better understanding of how the immune system interacts with lymph nodes may allow treatment to become less invasive while maintaining excellent cancer outcomes.

https://www.mdpi.com/2813-3307/4/3/36

Pamela’s story is a powerful reminder that your intuition is a vital medical tool. She proved that even when the odds are stacked against you, a new life is possible.

https://untilallsurvive.com/cancer-patients-portraits/pamela-deasy-pancreatic-cancer-ireland

https://www.linkedin.com/posts/pamela-deasy-75b729319_midweekthoughts-patientvoices-canceradvocacy-share-7485594036410585088-TVei/?utm_source=share&utm_medium=member_desktop&rcm=ACoAABs3g3EBzKjRijqM-dZ6l7MG8TrOKYFA0ws

https://www.genetionary.org

The PREDI-LYNCH project is dedicated to advancing early detection and personalised prevention of Lynch syndrome, a hereditary condition that predisposes individuals to colorectal, endometrial, and several other types of cancer.

Through collaboration with leading medical institutions and researchers, the project aims to refine risk assessment tools that combine genetic markers, family history, and lifestyle factors. This holistic approach enables healthcare providers to offer tailored screening and prevention strategies, ultimately reducing cancer incidence and improving long-term patient outcomes.

AI models are exceptionally good at finding subtle, hidden correlations within vast datasets—clues that might be impossible for the human eye to spot. Within the PREDI-LYNCH project, we feed our algorithms integrated clinical, lifestyle, and molecular data from thousands of historical cohorts.

Over time, the AI learns to identify exactly which combinations of factors indicate a higher risk of early-onset colorectal or endometrial cancers.

The result? A highly personalised risk score that empowers doctors to adapt surveillance schedules before a tumour even has the chance to develop.

PREDI-LYNCH also emphasises patient education and accessibility, ensuring that risk prediction tools are user-friendly and available to diverse populations. By bridging the gap between research and clinical practice, the project strives to empower individuals and clinicians alike with actionable insights for precision medicine in hereditary cancer prevention.

PREDI-LYNCH Advancing early detection and personalized prevention of Lynch syndrome

One of the key messages from the paper is that community-based systemic anti-cancer therapy is not simply about moving treatment closer to home. Successful implementation depends on getting the fundamentals right:

• Clear clinical governance and accountability between hospital and community services.
• Investment in skilled multidisciplinary teams and advanced nursing leadership.
• Shared digital infrastructure that supports safe communication and continuity of care.
• Strong collaboration across organisations and professions.
• Ongoing evaluation to ensure services remain safe, equitable and responsive to patients’ needs.

https://www.sciencedirect.com/science/article/pii/S0749208126001671?dgcid=author

People with Lynch syndrome have a much higher risk of developing colorectal cancer, so they have regular colonoscopies to find and remove precancerous growths (adenomas). Artificial intelligence (AI) can help doctors spot these growths during colonoscopy in people at average risk, but it was unclear whether it would also help in people with Lynch syndrome.

This international study compared standard high-definition colonoscopy with colonoscopy assisted by an AI system called CAD EYE in 733 people with Lynch syndrome across nine specialist centres in Europe.

The researchers found that AI did not significantly increase the number of patients in whom adenomas were detected.

The study also assessed whether the AI could correctly identify whether detected polyps were likely to be precancerous (neoplastic) or non-precancerous (non-neoplastic). While the AI showed good accuracy, it did not perform better than experienced specialist endoscopists, limiting its added value in expert Lynch syndrome surveillance programmes.

Overall, the study suggests that adding AI to colonoscopy does not meaningfully improve adenoma detection or polyp characterisation in specialist surveillance for people with Lynch syndrome, where colonoscopies are already performed by highly experienced endoscopists using high-quality equipment.

https://www.thelancet.com/journals/langas/article/PIIS2468-1253%2826%2900163-9/fulltext