Evidence map›Paper›PMID 34259745›Full record

ArticleJornal brasileiro de pneumologia : publicacao oficial da Sociedade Brasileira de Pneumologia e Tisilogia2021

Prospective evaluation of EBUS-TBNA specimens for programmed death-ligand 1 expression in non-small cell lung cancer patients: a pilot study.

Juliana Guarize, Elena Guerini Rocco, Filippo de Marinis, Giulia Sedda, Luca Bertolaccini, Stefano Maria Donghi, Monica Casiraghi, Clementina Di Tonno, Massimo Barberis, Lorenzo Spaggiari

Abstract read
In one paragraph

Article in Jornal brasileiro de pneumologia : publicacao oficial da Sociedade Brasileira de Pneumologia e Tisilogia, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Frontiers in oncology · 2022
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Juliana Guarize. Pneumologia Interventistica, Divisione di Chirurgia Toracica, Istituto Europeo di Oncologia - IEO - Istituto di Ricovero e Cura a Carattere Scientifico - IRCCS - Milano, Italia.ORCID 0000-0002-1695-1375
Elena Guerini Rocco. Divisione di Anatomia Patologica, Istituto Europeo di Oncologia - IEO - Istituto di Ricovero e Cura a Carattere Scientifico - IRCCS - Milano, Italia.ORCID 0000-0003-2001-7582
Filippo de Marinis. Divisione di Oncologia Toracica, Istituto Europeo di Oncologia - IEO - Istituto di Ricovero e Cura a Carattere Scientifico - IRCCS - Milano, Italia.ORCID 0000-0002-1118-5536
Giulia Sedda. Divisione di Chirurgia Toracica, Istituto Europeo di Oncologia - IEO - Istituto di Ricovero e Cura a Carattere Scientifico - IRCCS - Milano, Italia.ORCID 0000-0002-7482-1544
Luca Bertolaccini. Divisione di Chirurgia Toracica, Istituto Europeo di Oncologia - IEO - Istituto di Ricovero e Cura a Carattere Scientifico - IRCCS - Milano, Italia.ORCID 0000-0002-1153-3334
Stefano Maria Donghi. Pneumologia Interventistica, Divisione di Chirurgia Toracica, Istituto Europeo di Oncologia - IEO - Istituto di Ricovero e Cura a Carattere Scientifico - IRCCS - Milano, Italia.ORCID 0000-0001-9672-2574
Monica Casiraghi. Divisione di Chirurgia Toracica, Istituto Europeo di Oncologia - IEO - Istituto di Ricovero e Cura a Carattere Scientifico - IRCCS - Milano, Italia.ORCID 0000-0001-5986-7811
Clementina Di Tonno. Divisione di Anatomia Patologica, Istituto Europeo di Oncologia - IEO - Istituto di Ricovero e Cura a Carattere Scientifico - IRCCS - Milano, Italia.ORCID 0000-0001-9099-9089
Massimo Barberis. Divisione di Anatomia Patologica, Istituto Europeo di Oncologia - IEO - Istituto di Ricovero e Cura a Carattere Scientifico - IRCCS - Milano, Italia.ORCID 0000-0002-0943-4804
Lorenzo Spaggiari. Divisione di Chirurgia Toracica, Istituto Europeo di Oncologia - IEO - Istituto di Ricovero e Cura a Carattere Scientifico - IRCCS - Milano, Italia.ORCID 0000-0002-1068-3541

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveEBUS-TBNA cytological sampling is routinely performed for pathological diagnosis, mediastinal staging, and molecular testing in lung cancer patients. EBUS-TBNA samples are not formally accepted for testing programmed death-ligand 1 (PD-L1) expression. The objective of the study was to compare the feasibility, reproducibility, and accuracy of PD-L1 expression assessment in cytological specimens and histological samples.

methodsWe prospectively collected histological (transbronchial forceps biopsy) and cytological (EBUS-TBNA) samples from peribronchial neoplastic lesions during an endoscopic procedure at the same target lesion for the pathological diagnosis and molecular assessment of stage IV non-small cell lung cancer (NSCLC).

resultsFifteen patients underwent the procedure. Adequate cytological samples (at least 100 neoplastic cells) were obtained in 12 cases (92.3%). Assessment of PD-L1 expression was similar between histological and cytological samples (agreement rate = 92%). Sensitivity and diagnostic accuracy of EBUS-TBNA cytological specimens were 88.9% and 100%, respectively.

conclusionsThe evaluation of PD-L1 expression in EBUS-TBNA cytological specimens is feasible and presents good reproducibility when compared with routine histological samples. EBUS-TBNA cytological samples could be used for the assessment of PD-L1 expression in patients with NSCLC as a minimally invasive approach in stage IV NSCLC cancer patients.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsB7-H1 AntigenEndoscopic Ultrasound-Guided Fine Needle AspirationHumansNeoplasm StagingPilot ProjectsProspective StudiesReproducibility of ResultsB7-H1 AntigenCD274 protein, human

Identifiers

PMID34259745
PMCPMC8332653

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.