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Aspirin Prevents the Progression and Development of Colorectal Cancer
1
Mins
May 2024
Recent research suggests regular aspirin use may decrease colorectal cancer incidence and mortality by enhancing immunosurveillance and boosting immune response.
Read more
1
Mins
30th September 2022
Gut Microbiome Disruption and Its Links to Breast Cancer
Targeting the gut–mast cell relationship could prevent breast cancer from spreading, enabling a personalised approach to treatment…
1
Mins
30th September 2022
Optimising Chemotherapy Through Assessment of Heartbeat Rhythms
Standardisation of mathematical formulas assessing heartbeat rhythms with electrocardiograms could help optimise the use of chemotherapy…
1
Mins
5th September 2022
No Increased Risk of Breast Cancer Relapse Following Fertility Preservation
Individuals undergoing fertility preservation alongside chemotherapy are not at an increased risk of disease recurrence. Read more…
1
Mins
5th September 2022
Could Cell Transition Markers Aid Treatment of Pancreatic Cancer?
This research provides hope for the future in terms of identifying cells at the pre-cancerous stage to prevent progression to cancer…
1
Mins
12th August 2022
Predicting Cancer Immunotherapy Response Using Genetic Signatures
Researchers investigated the efficacy of genetic signatures in predicting response to anti-programmed death-1 (PD-1)/anti-programmed death-ligand 1 (PD-L1) immunotherapy in bladder cancer.
1
Mins
12th August 2022
Can Aspirin Reduce the Risk of Ovarian Cancer?
New data has shown that frequent aspirin use, defined as use ≥6 days per week, in individuals with and without risk factors, is associated with a reduced risk of ovarian cancer.
2
Mins
5th August 2022
Updates on the Safety and Efficacy of Amivantamab and Lazertinib Combination Therapy for EGFR-Mutated Non-small Cell Lung Cancer
The 2022 World Conference on Lung Cancer will feature Janssen-sponsored presentations providing updates on data from clinical trials…
1
Mins
22nd July 2022
Machine Learning Model Helps Predict Immunotherapy Response
Network-based machine learning has been used to improve the accuracy of predicting patient response to immune checkpoint inhibitors.
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