Label‐Free Prediction of Tumor Metastatic Potential via Ramanome
Assessing metastatic potential is crucial for cancer treatment strategies. However, current methods are time-consuming, labor-intensive, and have limited sample accessibility. Therefore, this study aims to investigate the urgent need for rapid and accurate approaches by proposing a Ramanome-based metastasis index (RMI) using machine learning of single-cell Raman spectra to rapidly and accurately assess tumor cell metastatic potential. Validation with various cultured tumor cells and a mouse orthotopic model of pancreatic ductal adenocarcinoma show a Kendall rank correlation coefficient of 1 compared to Transwell experiments and histopathological assessments. Significantly, lipid-related Raman peaks are most influential in determining RMI. The lipidomic analysis confirmed strong correlations between metastatic potential and phosphatidylcholine, phosphatidylethanolamine, cholesteryl ester, ceramide, and bis(monoacylglycero)phosphate, crucial in cell membrane composition or signal transduction. Therefore, RMI is a valuable tool for predicting tumor metastatic potential and providing insights into metastasis mechanisms.
Authors
- Ruining Gong (ORCID: https://orcid.org/0000-0002-5016-8085)
- Xiaolan Liu (ORCID: https://orcid.org/0000-0001-5314-2086)
- Jia Wang (ORCID: https://orcid.org/0000-0001-8021-5148)
- Linlin Ren
- Xiaoshan Zheng (ORCID: https://orcid.org/0000-0002-8163-3605)
- Qingyue Ma
- He Ren (ORCID: https://orcid.org/0000-0002-9528-0580)
- Chenyang Zhao (ORCID: https://orcid.org/0000-0003-0153-2677)
- Jian Xu (ORCID: https://orcid.org/0000-0003-1612-561X)
- Luyang Sun (ORCID: https://orcid.org/0000-0003-3917-473X)
- Yuxing Zhang (ORCID: https://orcid.org/0000-0001-5331-0844)
- Yu Zhang (ORCID: https://orcid.org/0009-0006-6432-9982)
- Yanmei Zhang (ORCID: https://orcid.org/0000-0002-0317-4431)
- Ke Lei (ORCID: https://orcid.org/0000-0002-2523-5530)
Institutions
- Qingdao University (CN)
- Chinese Academy of Sciences (CN)
- Affiliated Hospital of Qingdao University (CN)
- Qingdao Institute of Bioenergy and Bioprocess Technology (CN)
Publication Details
- Journal
- Small Methods
- Published
- 2024-11-19
- DOI
- https://doi.org/10.1002/smtd.202400861
- Primary Topic
- Spectroscopy Techniques in Biomedical and Chemical Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Shandong Province
- Taishan Scholar Foundation of Shandong Province
- Postdoctoral Innovation Project of Shandong Province