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Universal Markers Unveil Metastatic Cancerous Cross-Sections at Nanoscale
Evangelos Bakalis1, Angelo Ferraro2, Vassilios Gavriil2
1Dipartimento di Chimica "G. Ciamician", Università di Bologna, 2 Via Francesco Selmi, 40126 Bologna, Italy.
Cancers
|August 12, 2022
Summary
New multifractal analysis methods can distinguish metastatic from non-metastatic colorectal cancer tissues. These timely warning markers offer potential for early cancer diagnosis and improved treatment strategies.
Area of Science:
- Oncology
- Biophysics
- Data Science
Background:
- Distinguishing metastatic (M) from non-metastatic (NM) cancer at the cellular level is crucial for effective treatment.
- Existing methods for cancer histological analysis have limitations in identifying early metastasis warning signs.
Purpose of the Study:
- To develop novel methods for differentiating M from NM colorectal cancer tissues.
- To identify new, timely warning markers for metastasis detection.
Main Methods:
- Analysis of digitized atomic force microscopy images of human colorectal cancer cells.
- Application of multifractal detrended fluctuation analysis and generalized moments method analysis.
Main Results:
- All analyzed samples exhibited multifractal characteristics.
- Two universal markers effectively differentiated M from NM tissues: (a) the ratio of singularity parameters (left/right) > 0.8 for NM tissues, and (b) the index of multifractality indicated log-normal distribution for NM and log-Cauchy for M tissues.
Conclusions:
- The proposed multifractal analysis provides effective markers for distinguishing metastatic from non-metastatic colorectal cancer.
- These findings enable large-scale screening of cancerous sections for metastasis detection.
