Deciphering Cancer Cell Behavior From Motility and Shape Features: Peer Prediction and Dynamic Selection to Support Cancer Diagnosis and Therapy

Frontiers in Oncology
Michele D'OrazioEugenio Martinelli

Abstract

Cell motility varies according to intrinsic features and microenvironmental stimuli, being a signature of underlying biological phenomena. The heterogeneity in cell response, due to multilevel cell diversity especially relevant in cancer, poses a challenge in identifying the biological scenario from cell trajectories. We propose here a novel peer prediction strategy among cell trajectories, deciphering cell state (tumor vs. nontumor), tumor stage, and response to the anticancer drug etoposide, based on morphology and motility features, solving the strong heterogeneity of individual cell properties. The proposed approach first barcodes cell trajectories, then automatically selects the good ones for optimal model construction (good teacher and test sample selection), and finally extracts a collective response from the heterogeneous populations via cooperative learning approaches, discriminating with high accuracy prostate noncancer vs. cancer cells of high vs. low malignancy. Comparison with standard classification methods validates our approach, which therefore represents a promising tool for addressing clinically relevant issues in cancer diagnosis and therapy, e.g., detection of potentially metastatic cells and anticancer drug...Continue Reading

References

Jul 27, 2005·Journal of Structural Biology·I F Sbalzarini, P Koumoutsakos
Feb 6, 2008·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·T F Chan, L A Vese
Jun 24, 2009·Nature Reviews. Molecular Cell Biology·Peter Friedl, Darren Gilmour
Mar 15, 2015·Frontiers in Oncology·Salvatore CorallinoGiorgio Scita
Oct 31, 2015·Science·Erika VacchelliGuido Kroemer
Jun 12, 2017·Cell Systems·Giovanni C ForcinaScott J Dixon
Oct 8, 2017·Scientific Reports·Elena BiselliLuca Businaro
Feb 9, 2019·IEEE Transactions on Bio-medical Engineering·Davide Di GiuseppeEugenio Martinelli
May 29, 2019·IEEE Transactions on Medical Imaging·Aryan MobinyNavin Varadarajan

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Methods Mentioned

BETA
flow cytometry
biopsy

Software Mentioned

MATLAB
Cell
vot
maj
Hunter

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