Quantitative stain-free imaging and digital profiling of collagen structure reveal diverse survival of triple negative breast cancer patients.
Background: Stromal and collagen biology has a significant impact on tumorigenesis and metastasis. Collagen is a major structural extracellular matrix component in breast cancer, but its role in cancer progression is the subject of historical debate. Collagen may represent a protective layer that pr...
| Published in: | Breast Cancer Research Vol. 22; no. 1; pp. 1 - 14 |
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| Main Authors: | , , , , , , , , , , , , |
| Format: | research Journal Article |
| Published: |
BioMed Central
5/6/2020
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=143073459&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 143073459 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 14655411 8UYJ jtl: Breast Cancer Research issn: 14655411 maglogo: N pubinfo: dt: 5/6/2020 vid: 22 iid: 1 pid: 24147 pub: BioMed Central artinfo: ui: 143073459 143073459 NLM32375854 143073459 10.1186/s13058-020-01282-x NLM32375854 143073459 ppf: 1 ppct: 13 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Quantitative stain-free imaging and digital profiling of collagen structure reveal diverse survival of triple negative breast cancer patients. aug: au: Gole, Laurent Yeong, Joe Lim, Jeffrey Chun Tatt Ong, Kok Haur Han, Hao Thike, Aye Aye Poh, Yong Cheng Yee, Sidney Iqbal, Jabed Hong, Wanjin Lee, Bernett Yu, Weimiao Tan, Puay Hoon affil: Institute of Molecule and Cell Biology, A*STAR, 61 Biopolis Drive, Proteos, Building, 138673, Singapore, Singapore sug: subj: Microscopy Methods Image Processing, Computer Assisted Methods Breast Neoplasms Pathology Collagen Extracellular Space Cell Physiology Breast Neoplasms Mortality Collagen Metabolism Prognosis Tissue Array Analysis Methods Human Female Survival Neoplasm Grading Neoplasm Staging Extracellular Space Metabolism Validation Studies Comparative Studies Evaluation Research Multicenter Studies Impact of Events Scale Questionnaires Scales Female ab: Background: Stromal and collagen biology has a significant impact on tumorigenesis and metastasis. Collagen is a major structural extracellular matrix component in breast cancer, but its role in cancer progression is the subject of historical debate. Collagen may represent a protective layer that prevents cancer cell migration, while increased stromal collagen has been demonstrated to facilitate breast cancer metastasis.Methods: Stromal remodeling is characterized by collagen fiber restructuring and realignment in stromal and tumoral areas. The patients in our study were diagnosed with triple-negative breast cancer in Singapore General Hospital from 2003 to 2015. We designed novel image processing and quantification pipelines to profile collagen structures using numerical imaging parameters. Our solution differentiated the collagen into two distinct modes: aggregated thick collagen (ATC) and dispersed thin collagen (DTC).Results: Extracted parameters were significantly associated with bigger tumor size and DCIS association. Of numerical parameters, ATC collagen fiber density (CFD) and DTC collagen fiber length (CFL) were of significant prognostic value for disease-free survival and overall survival for the TNBC patient cohort. Using these two parameters, we built a predictive model to stratify the patients into four groups.Conclusions: Our study provides a novel insight for the quantitation of collagen in the tumor microenvironment and will help predict clinical outcomes for TNBC patients. The identified collagen parameters, ATC CFD and DTC CFL, represent a new direction for clinical prognosis and precision medicine. We also compared our result with benign samples and DICS samples to get novel insight about the TNBC heterogeneity. The improved understanding of collagen compartment of TNBC may provide insights into novel targets for better patient stratification and treatment. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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