Literature DB >> 28364001

Morphoproteomic Characterization of Lung Squamous Cell Carcinoma Fragmentation, a Histological Marker of Increased Tumor Invasiveness.

Ruben Casanova1, Daniel Xia2,3, Undine Rulle4, Paolo Nanni5, Jonas Grossmann5, Bart Vrugt4, Reto Wettstein6, Rafael Ballester-Ripoll6, Alberto Astolfo7, Walter Weder8, Holger Moch4, Marco Stampanoni7,9, Andrew H Beck10, Alex Soltermann4.   

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. ©2017 American Association for Cancer Research.

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Year:  2017        PMID: 28364001     DOI: 10.1158/0008-5472.CAN-16-2363

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   12.701


  6 in total

Review 1.  Applications of machine learning in drug discovery and development.

Authors:  Jessica Vamathevan; Dominic Clark; Paul Czodrowski; Ian Dunham; Edgardo Ferran; George Lee; Bin Li; Anant Madabhushi; Parantu Shah; Michaela Spitzer; Shanrong Zhao
Journal:  Nat Rev Drug Discov       Date:  2019-06       Impact factor: 84.694

2.  [Report of the Working Group on Thoracic Pathology of the German Society of Pathology 2017].

Authors:  A Fisseler-Eckhoff; A Warth
Journal:  Pathologe       Date:  2017-11       Impact factor: 1.011

3.  Deep Learning Based on Standard H&E Images of Primary Melanoma Tumors Identifies Patients at Risk for Visceral Recurrence and Death.

Authors:  Prathamesh M Kulkarni; Eric J Robinson; Jing Wang; Yvonne M Saenger; Jaya Sarin Pradhan; Robyn D Gartrell-Corrado; Bethany R Rohr; Megan H Trager; Larisa J Geskin; Harriet M Kluger; Pok Fai Wong; Balazs Acs; Emanuelle M Rizk; Chen Yang; Manas Mondal; Michael R Moore; Iman Osman; Robert Phelps; Basil A Horst; Zhe S Chen; Tammie Ferringer; David L Rimm
Journal:  Clin Cancer Res       Date:  2019-10-21       Impact factor: 12.531

4.  Computationally-Guided Development of a Stromal Inflammation Histologic Biomarker in Lung Squamous Cell Carcinoma.

Authors:  Daniel Xia; Ruben Casanova; Devayani Machiraju; Trevor D McKee; Walter Weder; Andrew H Beck; Alex Soltermann
Journal:  Sci Rep       Date:  2018-03-02       Impact factor: 4.379

5.  IL-8 and CXCR1 expression is associated with cancer stem cell-like properties of clear cell renal cancer.

Authors:  Claudia Corrò; Marc E Healy; Stefanie Engler; Bernd Bodenmiller; Zhe Li; Peter Schraml; Achim Weber; Ian J Frew; Markus Rechsteiner; Holger Moch
Journal:  J Pathol       Date:  2019-04-11       Impact factor: 7.996

6.  Prognostic Value of Selected Histologic Features for Lung Squamous Cell Carcinoma.

Authors:  Justine Fan; Samuel M DeFina; He Wang
Journal:  Explor Res Hypothesis Med       Date:  2022-03-16
  6 in total

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