Evidence map›Paper›PMID 42851084›Full record

ArticleCancer cytopathology2026

Preanalytical variables affect predictive immunohistochemical biomarker testing in non-small cell lung carcinoma cytology specimens.

Saroja Devi Geetha, Wei-Lien Wang, Neda Kalhor, Sinchita Roy-Chowdhuri

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Article in Cancer cytopathology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Saroja Devi GeethaDepartment of Anatomical Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Wei-Lien WangDepartment of Anatomical Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Neda KalhorDepartment of Anatomical Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Sinchita Roy-ChowdhuriDepartment of Anatomical Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.ORCID https://orcid.org/0000-0002-9447-7701

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSeveral therapeutic targets for non-small cell lung carcinoma (NSCLC) rely on protein expression by immunohistochemistry (IHC). Most biomarkers are validated on formalin-fixed, paraffin-embedded (FFPE) tissue; however, cytologic specimens, including cell blocks (CBs), that are subject to preanalytical variables are increasingly used. The objective of this study was to evaluate predictive IHC biomarkers in NSCLC CBs and compare them with surgical pathology (SP) specimens.

methodsThe authors retrospectively reviewed NSCLC cytology specimens that underwent predictive IHC testing for hepatocyte growth factor receptor (c-MET), human epidermal growth factor receptor 2 (HER2), and programmed death-ligand-1 (PD-L1) between January 2019 and June 2025. IHC was performed on CBs that were centrifuged with equal amounts of ethanol and formalin before FFPE processing. Equal numbers of NSCLC SP specimens with available biomarker testing were included for comparison. Predictive IHC scores that were considered therapy-eligible were c-MET IHC 3+, HER2 IHC 3+, and PD-L1-positive tumor proportion scores. Statistical analyses were performed using the Fisher exact test, with p < .05 considered significant.

resultsThe cohort included 414 cases (cytology specimens, N = 212; SP specimens, N = 212 [60% biopsy, 40% resection]). Cytology specimens demonstrated a significantly higher proportion of strong 3+ c-MET expression (40%) compared with SP specimens (10%; p < .0001). Similarly, high PD-L1 expression was more frequent in cytology specimens (32% vs. 20%; p = .0079). HER2 expression was similar between groups, with no significant difference in HER2 IHC 3+ rates (p = .34).

conclusionsPredictive IHC testing is performed on NSCLC cytology to identify patients for therapeutic targets. The current study highlights the need for optimizing preanalytical variables in cytology specimen processing, even when testing FFPE CBs, to ensure the reliability of predictive IHC results that guide therapeutic decisions.

Indexed as

Biomarkers, TumorCarcinoma, Non-Small-Cell LungCytodiagnosisImmunohistochemistryLung NeoplasmsAgedB7-H1 AntigenErb-b2 Receptor Tyrosine KinasesFemaleHumansMaleMiddle AgedPredictive Value of TestsProto-Oncogene Proteins c-metRetrospective StudiesB7-H1 AntigenBiomarkers, TumorCD274 protein, humanERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesProto-Oncogene Proteins c-metcell blockcytology specimenshepatocyte growth factor receptor (c‐MET)human epidermal growth factor receptor 2 (HER2)immunohistochemistrynon–small cell lung carcinomapreanalyticalprogrammed death‐ligand 1 (PD‐L1)

Identifiers

PMID42851084
PMCPMC13650494

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