Personalized Pain Management: Predicting Chronic Pain Post-Mastectomy

This invention uses genetic and non-genetic factors to predict the risk of chronic pain in women who have undergone a mastectomy. This personalized approach aims to tailor peri-operative care based on an individual's unique genetic background and predictive non-genetic factors, revolutionizing pain management.

Description

This invention is a genome-wide screen for the association of SNP markers with inter-individual variability in pain following mastectomy will provide with a set of human polymorphic genes/markers that contribute to the trait independently and/or through interaction. Psychosocial and psychophysical profiling will identify a unique signature that may predict pain chronicity, intensity and/or quality in post mastectomy women. This data will help to personalize pain management in the future by tailoring peri-operative care according to individual genetic background and predictive non-genetic factors.

Applications

- Personalized pain management plans for patients.
- Pre-operative risk assessment for chronic pain in women undergoing mastectomy.
- Development of new pain management pharmaceuticals targeted at specific genetic markers.
- Advanced diagnostic tools for pain clinics.

Advantages

- First-ever genome-wide association study on human post-mastectomy pain.
- First comprehensive study of PMPS (post-mastectomy pain syndromes) using validated assessment tools.
- Provides a unique "signature" for predicting chronic pain.
- Personalizes pain management by tailoring care to an individual's genetic and non-genetic profile.
- Uses quantitative sensory testing on breast cancer survivors.

Invention Readiness

This technology is in the development phase, with preliminary in vivo data already collected. Pain and psychosocial data have been gathered from 450 post-mastectomy women. Additionally, DNA samples and clinical data were collected from 1200 women who had a partial or total mastectomy.

IP Status

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