Literature DB >> 22586054

Tissue-sparing application of the newly proposed IASLC/ATS/ERS classification of adenocarcinoma of the lung shows practical diagnostic and prognostic impact.

William Sterlacci1, Spasenija Savic, Thomas Schmid, Wilhelm Oberaigner, Jutta Auberger, Michael Fiegl, Alexandar Tzankov.   

Abstract

The histologic subtype of non-small cell lung cancer (NSCLC) determines treatment strategies and the need for genetic analyses. Since most NSCLC are diagnosed on small biopsy or cytologic specimens, an accurate but tissue-sparing approach is necessary. To date, consensus for a general diagnostic algorithm is lacking. To test the diagnostic and clinical relevance of the recently published multidisciplinary guidelines by the International Association for the Study of Lung Cancer, American Thoracic Society, and European Respiratory Society, we examined 371 surgically resected NSCLCs brought into tissue microarray format. The antibody panel thyroid transcription factor-1 (TTF-1), p63, cytokeratin (CK)5/6, and CK7 is diagnostic for most cases (>94%). Faint/focal staining for CK7 is negligible for classificatory purposes. Grading adenocarcinomas according to histologic architecture is prognostically significant (median overall survival for well/moderate differentiation, 72.5 months; for poor differentiation, 38.5 months; P = .019). Double stains combining the aforementioned nuclear and membranous markers are highly diagnostic for NSCLC, conserving tumor tissue for subsequent analyses.

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Year:  2012        PMID: 22586054     DOI: 10.1309/AJCP77KMKJXNMPMS

Source DB:  PubMed          Journal:  Am J Clin Pathol        ISSN: 0002-9173            Impact factor:   2.493


  18 in total

1.  Pulmonary adenocarcinoma histology.

Authors:  Erik Thunnissen
Journal:  Transl Lung Cancer Res       Date:  2012-12

2.  Improving molecular testing and personalized medicine in non-small-cell lung cancer in Ontario.

Authors:  C Lim; H S Sekhon; J C Cutz; D M Hwang; S Kamel-Reid; R F Carter; G da Cunha Santos; T Waddell; M Binnie; M Patel; N Paul; T Chung; A Brade; R El-Maraghi; C Sit; M S Tsao; N B Leighl
Journal:  Curr Oncol       Date:  2017-04-27       Impact factor: 3.677

Review 3.  Advances in lung adenocarcinoma classification: a summary of the new international multidisciplinary classification system (IASLC/ATS/ERS).

Authors:  Elizabeth R Tang; Andrew M Schreiner; Bradley B Pua
Journal:  J Thorac Dis       Date:  2014-10       Impact factor: 2.895

4.  Detailed assessment of microvasculature markers in non-small cell lung cancer reveals potentially clinically relevant characteristics.

Authors:  Geoffrey Pomme; Florian Augustin; Michael Fiegl; Raoul A Droeser; William Sterlacci; Alexandar Tzankov
Journal:  Virchows Arch       Date:  2015-04-09       Impact factor: 4.064

5.  Characterization of specific p63 and p63-N-terminal isoform antibodies and their application for immunohistochemistry.

Authors:  Marta Nekulova; Jitka Holcakova; Rudolf Nenutil; Rembert Stratmann; Pavla Bouchalova; Petr Müller; Lucie Mouková; Philip J Coates; Borivoj Vojtesek
Journal:  Virchows Arch       Date:  2013-07-26       Impact factor: 4.064

Review 6.  [Novel morphological and molecular aspects of lung cancer].

Authors:  A Warth; A Stenzinger; W Weichert
Journal:  Pathologe       Date:  2013-09       Impact factor: 1.011

Review 7.  Concordant and Discordant EGFR Mutations in Patients With Multifocal Adenocarcinomas: Implications for EGFR-Targeted Therapy.

Authors:  Jody C Chuang; Joseph B Shrager; Heather A Wakelee; Joel W Neal
Journal:  Clin Ther       Date:  2016-06-29       Impact factor: 3.393

8.  The utility of a novel triple marker (combination of TTF1, napsin A, and p40) in the subclassification of non-small cell lung cancer.

Authors:  Ming-Hui Ao; Hui Zhang; Lynne Sakowski; Rajni Sharma; Peter B Illei; Edward Gabrielson; Frederic Askin; Qing Kay Li
Journal:  Hum Pathol       Date:  2014-01-25       Impact factor: 3.466

9.  Simultaneous multi-antibody staining in non-small cell lung cancer strengthens diagnostic accuracy especially in small tissue samples.

Authors:  Gian Kayser; Agnes Csanadi; Claudia Otto; Till Plönes; Nicola Bittermann; Justyna Rawluk; Bernward Passlick; Martin Werner
Journal:  PLoS One       Date:  2013-02-13       Impact factor: 3.240

10.  IMP3 can predict aggressive behaviour of lung adenocarcinoma.

Authors:  Renata Beljan Perak; Merica Glavina Durdov; Vesna Capkun; Veljka Ivcevic; Antonia Pavlovic; Violeta Soljic; Mari Peric
Journal:  Diagn Pathol       Date:  2012-11-28       Impact factor: 2.644

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