1. Image analysis-derived metrics of histomorphological complexity predicts prognosis and treatment response in stage II-III colon cancer.
- Author
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Mezheyeuski A, Hrynchyk I, Karlberg M, Portyanko A, Egevad L, Ragnhammar P, Edler D, Glimelius B, and Östman A
- Subjects
- Aged, Chemotherapy, Adjuvant, Colonic Neoplasms diagnostic imaging, Colonic Neoplasms drug therapy, Colonic Neoplasms genetics, Female, Gene Expression Regulation, Neoplastic drug effects, Humans, Keratins genetics, Male, Middle Aged, Neoplasm Recurrence, Local genetics, Neoplasm Staging, Colonic Neoplasms pathology, Neoplasm Recurrence, Local drug therapy, Neoplasm Recurrence, Local pathology, Prognosis
- Abstract
The complexity of tumor histomorphology reflects underlying tumor biology impacting on natural course and response to treatment. This study presents a method of computer-aided analysis of tissue sections, relying on multifractal (MF) analyses, of cytokeratin-stained tumor sections which quantitatively evaluates of the morphological complexity of the tumor-stroma interface. This approach was applied to colon cancer collection, from an adjuvant treatment randomized study. Metrics obtained with the method acted as independent markers for natural course of the disease, and for benefit of adjuvant treatment. Comparative analyses demonstrated that MF metrics out-performed standard histomorphological features such as tumor grade, budding and configuration of invasive front. Notably, the MF analyses-derived "α
max " -metric constitutes the first response-predictive biomarker in stage II-III colon cancer showing significant interactions with treatment in analyses using a randomized trial-derived study population. Based on these results the method appears as an attractive and easy-to-implement tool for biomarker identification.- Published
- 2016
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