Preliminary Experience of Liquid Biopsy in Lung Cancer Compared to Conventional Assessment: Light and Shadows.

conventional biopsy liquid biopsy lung cancer

Journal

Journal of personalized medicine
ISSN: 2075-4426
Titre abrégé: J Pers Med
Pays: Switzerland
ID NLM: 101602269

Informations de publication

Date de publication:
12 Nov 2022
Historique:
received: 31 08 2022
revised: 08 11 2022
accepted: 10 11 2022
entrez: 24 11 2022
pubmed: 25 11 2022
medline: 25 11 2022
Statut: epublish

Résumé

Purpose: To assess the qualitative relationship between liquid biopsy and conventional tissue biopsy. As a secondary target, we evaluated the relationship between the liquid biopsy results and the T stage, N stage, M stage, and compared to grading. Methods: The Local Ethics Committee of the “Università degli Studi della Campania Luigi Vanvitelli”, with the internal resolution number 24997/2020 of 12.11.2020, approved this spontaneous prospective study. According to the approved protocol, patients with lung cancer who underwent Fine-Needle Aspiration Cytology (FNAC), CT-guided biopsy, and liquid biopsy were enrolled. A Yates chi-square test was employed to analyze differences in percentage values of categorical variables. A p-value < 0.05 was considered statistically significant. Data analysis was performed using the Matlab Statistic Toolbox (The MathWorks, Inc., Natick, MA, USA). Results: When a genetic mutation is present on the pathological examination, this was also detected on the liquid biopsy. ROS1 and PDL1 mutations were found in 2/29 patients, while EGFR Exon 21 was identified in a single patient. At liquid biopsy, 26 mutations were identified in the analyzed samples. The mutations with the highest prevalence rate in the study populations were: ALK (Ile1461Val), found in 28/29 patients (96.6%), EML4 (Lys398Arg), identified in 16/29 (55.2%) patients, ALK (Asp1529Glu), found in 14/29 (48.3%) patients, EGFR (Arg521Lys), found in 12/29 (41.4%) patients, ROS (Lys2228Gln), identified in 11/29 (37.9%) patients, ROS (Arg167Gln) and ROS (Ser2229Cys), identified in 10/29 (34.5%) patients, ALK (Lys1491Arg) and PIK3CA (Ile391Met), identified in 8/29 (27.6%) patients, ROS (Thr145Pro), identified in 6/29 (20.7%) patients, and ROS (Ser1109Leu), identified in 4/29 (13.8%) patients. No statistically significant differences can be observed in the mutation rate between the adenocarcinoma population and the squamous carcinoma population (p > 0.05, Yates chi-square test). Conclusions: We showed that, when a genetic mutation was detected in pathological examination, this was always detected by liquid biopsy, demonstrating a very high concordance rate of genomic testing between tissues and their corresponding mutations obtained by liquid biopsy, without cases of false-negative results. In addition, in our study, liquid biopsy highlighted 26 mutations, with the prevalence of ALK mutation in 96.6% of patients, supporting the idea that this approach could be an effective tool in cases with insufficient tumor tissue specimens or in cases where tissue specimens are not obtainable.

Identifiants

pubmed: 36422072
pii: jpm12111896
doi: 10.3390/jpm12111896
pmc: PMC9698369
pii:
doi:

Types de publication

Journal Article

Langues

eng

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Auteurs

Marco Montella (M)

Pathology Unit, Department of Mental and Physical Health and Preventive Medicine, University of Campania "Luigi Vanvitelli", 80138 Naples, Italy.

Giovanni Ciani (G)

Department of Precision Medicine, Università degli Studi della Campania "Luigi Vanvitelli", 80138 Naples, Italy.

Vincenza Granata (V)

Division of Radiology, Istituto Nazionale Tumori IRCCS Fondazione Pascale-IRCCS di Napoli, 80131 Naples, Italy.

Roberta Fusco (R)

Medical Oncology Division, Igea SpA, 80013 Napoli, Italy.

Francesca Grassi (F)

Department of Precision Medicine, Università degli Studi della Campania "Luigi Vanvitelli", 80138 Naples, Italy.

Andrea Ronchi (A)

Pathology Unit, Department of Mental and Physical Health and Preventive Medicine, University of Campania "Luigi Vanvitelli", 80138 Naples, Italy.

Immacolata Cozzolino (I)

Pathology Unit, Department of Mental and Physical Health and Preventive Medicine, University of Campania "Luigi Vanvitelli", 80138 Naples, Italy.

Renato Franco (R)

Pathology Unit, Department of Mental and Physical Health and Preventive Medicine, University of Campania "Luigi Vanvitelli", 80138 Naples, Italy.

Federica Zito Marino (F)

Pathology Unit, Department of Mental and Physical Health and Preventive Medicine, University of Campania "Luigi Vanvitelli", 80138 Naples, Italy.

Fabrizio Urraro (F)

Department of Precision Medicine, Università degli Studi della Campania "Luigi Vanvitelli", 80138 Naples, Italy.

Riccardo Monti (R)

Department of Precision Medicine, Università degli Studi della Campania "Luigi Vanvitelli", 80138 Naples, Italy.

Roberto Sirica (R)

AMES-Centro Polidiagnostico Strumentale, SRL, 80013 Naples, Italy.

Giovanni Savarese (G)

AMES-Centro Polidiagnostico Strumentale, SRL, 80013 Naples, Italy.

Ugo Chianese (U)

Department of Precision Medicine, Università degli Studi della Campania "Luigi Vanvitelli", 80138 Naples, Italy.

Angela Nebbioso (A)

Department of Precision Medicine, Università degli Studi della Campania "Luigi Vanvitelli", 80138 Naples, Italy.

Lucia Altucci (L)

Department of Precision Medicine, Università degli Studi della Campania "Luigi Vanvitelli", 80138 Naples, Italy.

Maria Teresa Vietri (MT)

Department of Precision Medicine, Università degli Studi della Campania "Luigi Vanvitelli", 80138 Naples, Italy.

Valerio Nardone (V)

Department of Precision Medicine, Università degli Studi della Campania "Luigi Vanvitelli", 80138 Naples, Italy.

Alfonso Reginelli (A)

Department of Precision Medicine, Università degli Studi della Campania "Luigi Vanvitelli", 80138 Naples, Italy.

Roberta Grassi (R)

Department of Precision Medicine, Università degli Studi della Campania "Luigi Vanvitelli", 80138 Naples, Italy.
Italian Society of Medical and Interventional Radiology (SIRM), SIRM Foundation, 20122 Milan, Italy.

Classifications MeSH