1. Morphoproteomic Characterization of Lung Squamous Cell Carcinoma Fragmentation, a Histological Marker of Increased Tumor Invasiveness
- Author
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Alberto Astolfo, Daniel Xia, Jonas Grossmann, Reto Wettstein, Paolo Nanni, Rafael Ballester-Ripoll, Bart Vrugt, Marco Stampanoni, Alex Soltermann, Walter Weder, Ruben Casanova, Undine Rulle, Andrew H. Beck, and Holger Moch
- Subjects
Proteomics ,0301 basic medicine ,Cancer Research ,Pathology ,medicine.medical_specialty ,Lung Neoplasms ,Kaplan-Meier Estimate ,Biology ,Mass Spectrometry ,Extracellular matrix ,03 medical and health sciences ,Biomarkers, Tumor ,medicine ,Carcinoma ,Humans ,Neoplasm Invasiveness ,Grading (tumors) ,Neoplasm Staging ,Retrospective Studies ,Neoplasm Grading ,Tissue microarray ,Retrospective cohort study ,Prognosis ,medicine.disease ,Immunohistochemistry ,Extracellular Matrix ,030104 developmental biology ,Oncology ,Carcinoma, Squamous Cell - Abstract
Accurate stratification of tumors is imperative for adequate cancer management. In addition to staging, morphologic subtyping allows stratification of patients into additional prognostic groups. In this study, we used an image-based computational method on pan-cytokeratin IHC stainings to quantify tumor fragmentation (TF), a measure of tumor invasiveness of lung squamous cell carcinoma (LSCC). In two independent clinical cohorts from tissue microarrays (TMA: n = 208 patients) and whole sections (WS: n = 99 patients), TF was associated with poor prognosis and increased risk of blood vessel infiltration. A third cohort from The Cancer Genome Atlas (TCGA: n = 335 patients) confirmed the poor prognostic value of TF using a similar human-based score on hematoxylin-eosin staining. Integration of RNA-seq data from TCGA and LC-MS/MS proteomics from WS revealed an upregulation of extracellular matrix remodeling and focal adhesion processes in tumors with high TF, supporting their increased invasive potential. This proposed histologic parameter is an independent and unfavorable prognostic marker that could be established as a new grading parameter for LSCC. Cancer Res; 77(10); 2585–93. ©2017 AACR.
- Published
- 2017