Usefulness of complementary next-generation sequencing and quantitative immunohistochemistry panels for predicting brain metastases and selecting treatment outcomes of non-small cell lung cancer.


Journal

Human pathology
ISSN: 1532-8392
Titre abrégé: Hum Pathol
Pays: United States
ID NLM: 9421547

Informations de publication

Date de publication:
01 2019
Historique:
received: 29 06 2018
revised: 24 08 2018
accepted: 29 08 2018
pubmed: 16 9 2018
medline: 16 11 2019
entrez: 16 9 2018
Statut: ppublish

Résumé

To demonstrate the usefulness of complementary next-generation sequencing (NGS) and immunohistochemistry (IHC) counting, we analyzed 196 patients with non-small cell lung cancer who underwent surgical resection and adjuvant chemotherapy. Formalin-fixed, paraffin-embedded samples of adenocarcinoma (ADC), squamous cell carcinoma, and large cell carcinoma were used to prepare tissue microarrays and were examined by protein H-score IHC image analysis and NGS for oncogenes and proto-oncogenes and genes of tumor suppressors, immune checkpoints, epithelial-mesenchymal transition factors, tyrosine kinase receptors, and vascular endothelial growth factors. In patients with brain metastases, primary tumors expressed lower PIK3CA protein levels. Overexpression of p53 and a higher PD-L1 protein H-score were detected in patients who underwent surgical treatment followed by chemotherapy as compared with those who underwent only surgical treatment The absence of brain metastases was associated with wild-type sequences of genes EGFR, CD267, CTLA-4, and ZEB1. The combination of protein overexpression according to IHC and mutation according to NGS was rare (ie, represented by a very low percentage of concordant cases), except for p53 and vascular endothelial growth factor. Our data suggest that protein levels detected by IHC may be a useful complementary tool when mutations are not detected by NGS and also support the idea to expand this approach beyond ADC to include squamous cell carcinoma and even large cell carcinoma, particularly for patients with unusual clinical characteristics. Conversely, well-pronounced immunogenotypic features seemed to predict the clinical outcome after univariate and multivariate analyses. Patients with a solid ADC subtype and mutated genes EGFR, CTLA4, PDCD1LG2, or ZEB1 complemented with PD-L1 or p53 protein lower expression that only underwent surgical treatment who develop brain metastases may have the worst prognosis.

Identifiants

pubmed: 30218756
pii: S0046-8177(18)30352-6
doi: 10.1016/j.humpath.2018.08.026
pii:
doi:

Substances chimiques

Biomarkers, Tumor 0

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

177-191

Informations de copyright

Copyright © 2018 Elsevier Inc. All rights reserved.

Auteurs

Juliana Machado-Rugolo (J)

Clinicas Hospital, Faculty of Medicine, State University of São Paulo, Botucatu 18618-682, Brazil.

Alexandre Todorovic Fabro (AT)

Department of Pathology and Legal Medicine, Ribeirão Preto School of Medicine, University of São Paulo, Ribeirão Preto 14049-900, Brazil.

Daniel Ascheri (D)

Laboratory of Genomics and Histomorphometry, Department of Pathology, University of São Paulo Medical School, São Paulo 01246-903, Brazil.

Cecília Farhat (C)

Laboratory of Genomics and Histomorphometry, Department of Pathology, University of São Paulo Medical School, São Paulo 01246-903, Brazil.

Alexandre Muxfeldt Ab'Saber (AM)

Laboratory of Genomics and Histomorphometry, Department of Pathology, University of São Paulo Medical School, São Paulo 01246-903, Brazil.

Vanessa Karen de Sá (VK)

Laboratory of Genomics and Histomorphometry, Department of Pathology, University of São Paulo Medical School, São Paulo 01246-903, Brazil.

Maria Aparecida Nagai (MA)

Department of Oncology, Clinicas Hospital, São Paulo 01246-903, Brazil.

Teresa Takagaki (T)

Division of Pneumology, Heart Institute (Incor), Faculty of Medicine, University of São Paulo, São Paulo 01246-903, Brazil.

Ricardo Terra (R)

Department of Thoracic Surgery, Institute of Cancer of São Paulo, São Paulo 01246-903, Brazil; Department of Thoracic Surgery, Heart Institute (Incor), São Paulo 01246-903, Brazil.

Edwin Roger Parra (ER)

Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.

Vera Luiza Capelozzi (VL)

Laboratory of Genomics and Histomorphometry, Department of Pathology, University of São Paulo Medical School, São Paulo 01246-903, Brazil. Electronic address: vera.capelozzi@fm.usp.br.

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Classifications MeSH