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Published on: June 6, 2025
Using second harmonic generation to predict patient outcome in solid tumors
1Department of Biomedical Engineering, University of Rochester, 207 Robert B. Goergen Hall, Box 270168, Rochester, NY, 14627, USA. Kathleen_Burke@URMC.Rochester.edu.
Analyzing collagen structure using second harmonic generation (SHG) emission direction can predict metastatic potential in estrogen receptor positive (ER+) breast cancer. This matrix-focused approach aids in reducing chemotherapy over-treatment for ER+ lymph node-negative (LNN) patients.
Area of Science:
- Biophysics
- Oncology
- Medical Diagnostics
Background:
- Over-treatment of chemotherapy in estrogen receptor positive (ER+), lymph node-negative (LNN) breast cancer is a significant clinical issue.
- Accurate prediction of tumor metastatic potential is crucial for optimizing treatment strategies.
- Second Harmonic Generation (SHG) analysis of primary tumor biopsies offers a novel approach to assess metastatic risk.
Purpose of the Study:
- To evaluate the prognostic value of SHG emission direction in predicting metastatic outcomes in ER+, LNN breast cancer.
- To explore the association of SHG F/B ratio with survival rates in various cancer types, including colorectal and lung adenocarcinoma.
Main Methods:
- Retrospective analysis of SHG forward-to-backward (F/B) emission ratios in excised primary tumor tissues.
- Correlation of F/B ratios with metastasis-free survival (MFS), overall survival (OS), and progression-free survival (PFS) in patient cohorts.
- Inclusion of ER+ and ER-negative breast cancer, and stage I colorectal and lung adenocarcinoma patient data.
Main Results:
- In ER+, LNN breast cancer, an increased F/B ratio was significantly associated with favorable MFS and OS.
- Conversely, in ER+ recurrent breast cancer treated with tamoxifen, increased F/B predicted shorter PFS.
- An increased F/B ratio in stage I colorectal adenocarcinoma correlated with poor OS, but not significantly in stage I lung adenocarcinoma.
Conclusions:
- The SHG F/B ratio serves as a valuable tool for stratifying ER+, LNN breast cancer patients by tumor aggressiveness.
- This matrix-focused method complements genomic approaches for improved metastatic prediction.
- Combined predictive strategies may help reduce unnecessary patient over-treatment.
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