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
Apr 1, 1982·Radiology·J A Hanley, B J McNeil
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
Sep 28, 2014·Haematologica·Simone ThomasAlbrecht Reichle
Mar 15, 2015·Frontiers in Oncology·Salvatore CorallinoGiorgio Scita
Oct 31, 2015·Science·Erika VacchelliGuido Kroemer
Dec 26, 2015·The Journal of Craniofacial Surgery·Matthew J ZdillaH Wayne Lambert
Jun 12, 2017·Cell Systems·Giovanni C ForcinaScott J Dixon
Oct 8, 2017·Scientific Reports·Elena BiselliLuca Businaro
Dec 28, 2018·Cell Reports·Marie NguyenMaria Carla Parrini
Feb 9, 2019·IEEE Transactions on Bio-medical Engineering·Davide Di GiuseppeEugenio Martinelli
May 3, 2019·Scientific Reports·M C ComesE Martinelli
May 29, 2019·IEEE Transactions on Medical Imaging·Aryan MobinyNavin Varadarajan
Sep 25, 2019·Sensors·Alexandra LianouEfstathios Z Panagou
Mar 14, 2020·Sensors·Maria Colomba ComesEugenio Martinelli