The Rare YAP1 Subtype of SCLC Revisited in a Biobank of 39 Circulating Tumor Cell Patient Derived Explant Models: A Brief Report.


Journal

Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer
ISSN: 1556-1380
Titre abrégé: J Thorac Oncol
Pays: United States
ID NLM: 101274235

Informations de publication

Date de publication:
12 2020
Historique:
received: 04 05 2020
revised: 25 06 2020
accepted: 19 07 2020
pubmed: 30 7 2020
medline: 2 2 2021
entrez: 30 7 2020
Statut: ppublish

Résumé

Recent consensus defines four SCLC subtypes on the basis of transcription factor expression: ASCL1, NEUROD1, POU2F3, and YAP1. The rare YAP1 subtype is associated with "neuroendocrine (NE)-low" cells among SCLC cell lines and patient samples. We evaluated YAP1 in 39 patients with phenotypically diverse circulating tumor cell-derived explant (CDX) models and revisited YAP1 in terms of prevalence, cell phenotype, and intertumor and intratumor heterogeneity. YAP1 transcript and protein expression were assessed by RNA sequencing and immunohistochemistry or multiplexed immunofluorescence of NE and non-NE CDX subpopulations. Physically separated NE and non-NE CDX ex vivo culture lysates were Western blotted for YAP1, NE marker SYP, and AXL. RNA sequencing normalized for the four subtype transcription factors identified YAP1 expression in 14 of 39 CDX. A total of 10 CDX expressed YAP1 protein, and eight had strong YAP1 expression confined to rare non-NE cell clusters. This was confirmed in ex vivo CDX cultures in which adherent non-NE cells lacking SYP expression expressed YAP1. However, in two CDX, weaker cellular YAP1 expression was observed, widely dispersed in SYP-positive NE cells. YAP1 was predominantly expressed in non-NE cell clusters in SCLC CDX, but two of 39 CDX expressed YAP1 in NE cells. CDX22P, with relatively high YAP1 expression, is an ASCL1 NE subtype with a low NE score and an outlier within this subtype in our CDX biobank. These descriptive data reveal subtly different YAP1 expression profiles, paving the way for functional studies to compare YAP1 signaling in non-NE and low NE cell contexts for potentially personalized therapeutic approaches.

Identifiants

pubmed: 32721553
pii: S1556-0864(20)30588-8
doi: 10.1016/j.jtho.2020.07.008
pmc: PMC7718082
pii:
doi:

Substances chimiques

Adaptor Proteins, Signal Transducing 0
Transcription Factors 0
YAP-Signaling Proteins 0
YAP1 protein, human 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1836-1843

Subventions

Organisme : Cancer Research UK
ID : A27412
Pays : United Kingdom
Organisme : Cancer Research UK
ID : A20465
Pays : United Kingdom
Organisme : Cancer Research UK
ID : A25254
Pays : United Kingdom

Informations de copyright

Copyright © 2020 International Association for the Study of Lung Cancer. Published by Elsevier Inc. All rights reserved.

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Auteurs

Sarah M Pearsall (SM)

Cancer Research UK Manchester Institute Cancer Biomarker Centre, University of Manchester, Manchester, United Kingdom; Cancer Research UK Lung Cancer Centre of Excellence, Manchester, United Kingdom.

Sam Humphrey (S)

Cancer Research UK Manchester Institute Cancer Biomarker Centre, University of Manchester, Manchester, United Kingdom; Cancer Research UK Lung Cancer Centre of Excellence, Manchester, United Kingdom.

Mitchell Revill (M)

Cancer Research UK Manchester Institute Cancer Biomarker Centre, University of Manchester, Manchester, United Kingdom; Cancer Research UK Lung Cancer Centre of Excellence, Manchester, United Kingdom.

Derrick Morgan (D)

Cancer Research UK Manchester Institute Cancer Biomarker Centre, University of Manchester, Manchester, United Kingdom; Cancer Research UK Lung Cancer Centre of Excellence, Manchester, United Kingdom.

Kristopher K Frese (KK)

Cancer Research UK Manchester Institute Cancer Biomarker Centre, University of Manchester, Manchester, United Kingdom; Cancer Research UK Lung Cancer Centre of Excellence, Manchester, United Kingdom.

Melanie Galvin (M)

Cancer Research UK Manchester Institute Cancer Biomarker Centre, University of Manchester, Manchester, United Kingdom; Cancer Research UK Lung Cancer Centre of Excellence, Manchester, United Kingdom.

Alastair Kerr (A)

Cancer Research UK Manchester Institute Cancer Biomarker Centre, University of Manchester, Manchester, United Kingdom; Cancer Research UK Lung Cancer Centre of Excellence, Manchester, United Kingdom.

Mathew Carter (M)

Cancer Research UK Manchester Institute Cancer Biomarker Centre, University of Manchester, Manchester, United Kingdom; Cancer Research UK Lung Cancer Centre of Excellence, Manchester, United Kingdom.

Lynsey Priest (L)

Cancer Research UK Manchester Institute Cancer Biomarker Centre, University of Manchester, Manchester, United Kingdom; Cancer Research UK Lung Cancer Centre of Excellence, Manchester, United Kingdom.

Fiona Blackhall (F)

Cancer Research UK Lung Cancer Centre of Excellence, Manchester, United Kingdom; Medical Oncology, The Christie NHS Foundation Trust, Manchester, United Kingdom.

Kathryn L Simpson (KL)

Cancer Research UK Manchester Institute Cancer Biomarker Centre, University of Manchester, Manchester, United Kingdom; Cancer Research UK Lung Cancer Centre of Excellence, Manchester, United Kingdom.

Caroline Dive (C)

Cancer Research UK Manchester Institute Cancer Biomarker Centre, University of Manchester, Manchester, United Kingdom; Cancer Research UK Lung Cancer Centre of Excellence, Manchester, United Kingdom; Division of Cancer Sciences, Faculty of Biology, Medicine, and Health, University of Manchester, Manchester, United Kingdom. Electronic address: Caroline.Dive@manchester.ac.uk.

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Classifications MeSH