Literature DB >> 25130792

A comprehensive immunohistochemistry algorithm for the histological subtyping of small biopsies obtained from non-small cell lung cancers.

Jaemoon Koh1, Heounjeong Go, Moon-Young Kim, Yoon Kyung Jeon, Jin-Haeng Chung, Doo Hyun Chung.   

Abstract

AIMS: Need for accurate histologic subtyping of non-small cell lung carcinomas (NSCLCs) is growing. IHC patterns may be ambiguous in some cases, rendering it difficult to determine subtypes. METHODS AND
RESULTS: Tissue microarrays composed of 184 resected NSCLCs were stained for TTF-1, Napsin A, CK7, p40, p63, CK5/6, and mucicarmine. TTF-1 and Napsin A were chosen as the most accurate adenocarcinoma (ADC) marker (ACM), and p40 as squamous cell carcinoma (SCC) marker (SCM). We then prospectively performed IHC using these markers (TTF-1, Napsin A, and p40) in a cohort of small NSCLC biopsies (n = 186) with ambiguous morphology. Of these biopsies, 82.8% (154/186) were classifiable into either ADC or SCC by applying '3-marker IHC panel'. Additional CK7, p63, and CK5/6 were applied in 30 biopsies with equivocal IHC patterns, including 18 ACM-/SCM- (double-negative) and 12 ACM+/SCM+ (double-positive) cases. Decision tree and support vector machine models revealed that TTF-1 was a critical single marker for ADC in double-positive cases (91.7% accuracy), whereas p63 and/or CK5/6 helped to subtype double-negative cases (72.2% accuracy).
CONCLUSIONS: We propose a novel comprehensive algorithm for subtyping NSCLCs using a 3-marker IHC panel and additional p63 and CK5/6 that would be useful for subtyping small NSCLC biopsies.
© 2014 John Wiley & Sons Ltd.

Entities:  

Keywords:  Napsin A and p40 panel; TTF-1; algorithm; biopsy specimens; histologic subtyping; immunohistochemistry; non-small cell carcinoma

Mesh:

Substances:

Year:  2014        PMID: 25130792     DOI: 10.1111/his.12507

Source DB:  PubMed          Journal:  Histopathology        ISSN: 0309-0167            Impact factor:   5.087


  12 in total

1.  Reliable Entity Subtyping in Non-small Cell Lung Cancer by Matrix-assisted Laser Desorption/Ionization Imaging Mass Spectrometry on Formalin-fixed Paraffin-embedded Tissue Specimens.

Authors:  Mark Kriegsmann; Rita Casadonte; Jörg Kriegsmann; Hendrik Dienemann; Peter Schirmacher; Jan Hendrik Kobarg; Kristina Schwamborn; Albrecht Stenzinger; Arne Warth; Wilko Weichert
Journal:  Mol Cell Proteomics       Date:  2016-07-29       Impact factor: 5.911

Review 2.  Quantitative measurement of cancer tissue biomarkers in the lab and in the clinic.

Authors:  Daniel E Carvajal-Hausdorf; Kurt A Schalper; Veronique M Neumeister; David L Rimm
Journal:  Lab Invest       Date:  2014-12-15       Impact factor: 5.662

3.  Continuous quantification of HER2 expression by microfluidic precision immunofluorescence estimates HER2 gene amplification in breast cancer.

Authors:  Diego G Dupouy; Ata Tuna Ciftlik; Maryse Fiche; Déborah Heintze; Bettina Bisig; Laurence de Leval; Martin A M Gijs
Journal:  Sci Rep       Date:  2016-02-09       Impact factor: 4.379

4.  p40 & thyroid transcription factor-1 immunohistochemistry: A useful panel to characterize non-small cell lung carcinoma-not otherwise specified (NSCLC-NOS) category.

Authors:  Ritika Walia; Deepali Jain; Karan Madan; Mehar C Sharma; Sandeep R Mathur; Anant Mohan; Venkateswaran K Iyer; Lalit Kumar
Journal:  Indian J Med Res       Date:  2017-07       Impact factor: 2.375

5.  And They Said It Couldn't Be Done: Predicting Known Driver Mutations From H&E Slides.

Authors:  Michael C Montalto; Robin Edwards
Journal:  J Pathol Inform       Date:  2019-05-06

6.  The value of desmosomal plaque-related markers to distinguish squamous cell carcinoma and adenocarcinoma of the lung.

Authors:  Inmaculada Galindo; Mercedes Gómez-Morales; Inés Díaz-Cano; Álvaro Andrades; Mercedes Caba-Molina; María Teresa Miranda-León; Pedro Pablo Medina; Joel Martín-Padron; María Esther Fárez-Vidal
Journal:  Ups J Med Sci       Date:  2019-12-06       Impact factor: 2.384

Review 7.  A narrative review of artificial intelligence-assisted histopathologic diagnosis and decision-making for non-small cell lung cancer: achievements and limitations.

Authors:  Yongzhong Li; Donglai Chen; Xuejie Wu; Wentao Yang; Yongbing Chen
Journal:  J Thorac Dis       Date:  2021-12       Impact factor: 2.895

Review 8.  Machine Learning for Pulmonary and Critical Care Medicine: A Narrative Review.

Authors:  Eric Mlodzinski; David J Stone; Leo A Celi
Journal:  Pulm Ther       Date:  2020-02-05

Review 9.  The application of artificial intelligence in lung cancer: a narrative review.

Authors:  Huixian Zhang; Die Meng; Siqi Cai; Haoyue Guo; Peixin Chen; Zixuan Zheng; Jun Zhu; Wencheng Zhao; Hao Wang; Sha Zhao; Jia Yu; Yayi He
Journal:  Transl Cancer Res       Date:  2021-05       Impact factor: 1.241

10.  Napsin A Expression in Human Tumors and Normal Tissues.

Authors:  Sören Weidemann; Jan Lukas Böhle; Hendrina Contreras; Andreas M Luebke; Martina Kluth; Franziska Büscheck; Claudia Hube-Magg; Doris Höflmayer; Katharina Möller; Christoph Fraune; Christian Bernreuther; Michael Rink; Ronald Simon; Anne Menz; Andrea Hinsch; Patrick Lebok; Till Clauditz; Guido Sauter; Ria Uhlig; Waldemar Wilczak; Stefan Steurer; Eike Burandt; Rainer Krech; David Dum; Till Krech; Andreas Marx; Sarah Minner
Journal:  Pathol Oncol Res       Date:  2021-04-20       Impact factor: 3.201

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.