Literature DB >> 23486764

ΔNp63 (p40) distribution inside lung cancer: a driver biomarker approach to tumor characterization.

Giuseppe Pelosi1, Giulio Rossi, Alberto Cavazza, Luisella Righi, Patrick Maisonneuve, Mattia Barbareschi, Paolo Graziano, Ugo Pastorino, Marina Garassino, Filippo de Braud, Mauro Papotti.   

Abstract

ΔNp63 (henceforth simply p40) is a squamous/basal-type biomarker corresponding to nontransactivating (non-TA) isoforms of p63 gene. Its prospective relevance as driver biomarker in lung cancer has not yet been thoroughly investigated. In all, 72 adenocarcinomas (ADs), 27 squamous cell carcinomas (SQCs), 13 pleomorphic carcinomas (PLCs), 10 small-cell lung carcinomas (SCLCs), 5 large-cell neuroendocrine carcinomas (LCNECs), 5 adenosquamous carcinomas (ADSQCs), 3 large-cell carcinomas with basaloid features (B-LCC), 2 carcinoids, 2 carcinosarcomas (CS), 2 salivary-gland type tumors (SGTTs) of the lung, and 5 pleural malignant epithelioid mesotheliomas (MEMs) were prospectively diagnosed by morphology and verified by immunohistochemistry for p40, p63, and thyroid transcription factor 1 (TTF1). Histological scores (HS) were devised by multiplying the percentage of immunoreactive cells (0 to 100%) by immunostaining intensity (low = 1 vs strong = 2, according to internal controls). There was a nonrandom distribution of p40 across the diverse tumor groups and cell differentiation lineages, with p40-HS > 100 closely paralleling squamous or myoepithelial carcinomas (SQC, B-LCC, SQC-containing PLC, ADSQC with predominant SQC, SGTT), and p40-HS ≤ 10 pinpointing AD, AD-containing PLC, or CS and neuroendocrine (NE) tumors. At variance, p63-HS was significantly higher than p40 in AD (P < .0001) and NE tumors (P = .0156), with positive predictive value being 83% and 95% and overall accuracy being 95% and 99%, respectively. Also, TTF1 was shared by gland-differentiated and NE tumors. MEM cases were always negative for all biomarkers. The HS-guided assessment of p40 allowed an effective orientation among thoracic malignancies at the level of individual tumor patients thereby contributing to prospectively realize a driver, holistic approach to cancer characterization.

Entities:  

Keywords:  TTF1; diagnosis; immunohistochemistry; lung cancer; p40; p63

Mesh:

Substances:

Year:  2013        PMID: 23486764     DOI: 10.1177/1066896913476750

Source DB:  PubMed          Journal:  Int J Surg Pathol        ISSN: 1066-8969            Impact factor:   1.271


  13 in total

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Authors:  Giuseppe Pelosi; Federica Perrone; Elena Tamborini; Alessandra Fabbri; Maria Adele Testi; Adele Busico; Giulio Settanni; Benedetta Picciani; Enrica Bovio; Angelica Sonzogni; Barbara Valeri; Marina Garassino; Filippo De Braud; Ugo Pastorino
Journal:  Virchows Arch       Date:  2016-01-27       Impact factor: 4.064

Review 2.  The pivotal role of pathology in the management of lung cancer.

Authors:  Morgan R Davidson; Adi F Gazdar; Belinda E Clarke
Journal:  J Thorac Dis       Date:  2013-10       Impact factor: 2.895

Review 3.  Current WHO guidelines and the critical role of immunohistochemical markers in the subclassification of non-small cell lung carcinoma (NSCLC): Moving from targeted therapy to immunotherapy.

Authors:  Lais Osmani; Frederic Askin; Edward Gabrielson; Qing Kay Li
Journal:  Semin Cancer Biol       Date:  2017-11-26       Impact factor: 15.707

Review 4.  Therapeutic biomarkers in lung neuroendocrine neoplasia.

Authors:  Luisella Righi; Marco Volante; Ida Rapa; Simona Vatrano; Giuseppe Pelosi; Mauro Papotti
Journal:  Endocr Pathol       Date:  2014-12       Impact factor: 3.943

Review 5.  Neuroendocrine Pulmonary Tumors of Low, Intermediate and High Grade: Anatomopathological Diagnosis-Prognostic and Predictive Factors.

Authors:  José Manuel Cameselle-Teijeiro; José Antonio Mato Mato; Ovidio Fernández Calvo; Jesús García Mata
Journal:  Mol Diagn Ther       Date:  2018-04       Impact factor: 4.074

6.  Expression of P40 and P63 in lung cancers using fine needle aspiration cases. Understanding clinical pitfalls and limitations.

Authors:  Mohammed T Lilo; Derek Allison; Yuting Wang; MingHui Ao; Edward Gabrielson; Susan Geddes; Hui Zhang; Frederic Askin; Qing Kay Li
Journal:  J Am Soc Cytopathol       Date:  2016 May-Jun

Review 7.  Classification of pulmonary neuroendocrine tumors: new insights.

Authors:  Giuseppe Pelosi; Angelica Sonzogni; Sergio Harari; Adriana Albini; Enrica Bresaola; Caterina Marchiò; Federica Massa; Luisella Righi; Gaia Gatti; Nikolaos Papanikolaou; Namrata Vijayvergia; Fiorella Calabrese; Mauro Papotti
Journal:  Transl Lung Cancer Res       Date:  2017-10

8.  Large cell carcinoma of the lung: clinically oriented classification integrating immunohistochemistry and molecular biology.

Authors:  G Rossi; M C Mengoli; A Cavazza; D Nicoli; M Barbareschi; C Cantaloni; M Papotti; A Tironi; P Graziano; M Paci; A Stefani; M Migaldi; G Sartori; G Pelosi
Journal:  Virchows Arch       Date:  2013-11-13       Impact factor: 4.064

9.  TTF-1/p63-Positive Poorly Differentiated NSCLC: A Histogenetic Hypothesis from the Basal Reserve Cell of the Terminal Respiratory Unit.

Authors:  Daniela Cabibi; Sandro Bellavia; Antonino Giulio Giannone; Nadia Barraco; Calogero Cipolla; Anna Martorana; Vito Rodolico; Massimo Cajozzo; Ada Maria Florena
Journal:  Diagnostics (Basel)       Date:  2020-01-06

10.  A comprehensive comparative analysis of the histomorphological features of ALK-rearranged lung adenocarcinoma based on driver oncogene mutations: frequent expression of epithelial-mesenchymal transition markers than other genotype.

Authors:  Hyojin Kim; Se Jin Jang; Doo Hyun Chung; Seol Bong Yoo; Pingli Sun; Yan Jin; Kyung Han Nam; Jin-Ho Paik; Jin-Haeng Chung
Journal:  PLoS One       Date:  2013-10-23       Impact factor: 3.240

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