Literature DB >> 26968885

Exhaled Breath Analysis for Monitoring Response to Treatment in Advanced Lung Cancer.

Inbar Nardi-Agmon1, Manal Abud-Hawa2, Ori Liran1, Naomi Gai-Mor1, Maya Ilouze3, Amir Onn4, Jair Bar4, Dekel Shlomi1, Hossam Haick5, Nir Peled6.   

Abstract

INTRODUCTION: The Response Evaluation Criteria in Solid Tumors (RECIST) serve as the accepted standard to monitor treatment efficacy in lung cancer. However, the time intervals between consecutive computerized tomography scans might be too long to allow early identification of treatment failure. This study examines the use of breath sampling to monitor responses to anticancer treatments in patients with advanced lung cancer.
METHODS: A total of 143 breath samples were collected from 39 patients with advanced lung cancer. The exhaled breath signature, determined by gas chromatography/mass spectrometry and a nanomaterial-based array of sensors, was correlated with the response to therapy assessed by RECIST: complete response, partial response, stable disease, or progressive disease.
RESULTS: Gas chromatography/mass spectrometry analysis identified three volatile organic compounds as significantly indicating disease control (PR/stable disease), with one of them also significantly discriminating PR/stable disease from progressive disease. The nanoarray had the ability to monitor changes in tumor response across therapy, also indicating any lack of further response to therapy. When one-sensor analysis was used, 59% of the follow-up samples were identified correctly. There was 85% success in monitoring disease control (stable disease/partial response).
CONCLUSION: Breath analysis, using mainly the nanoarray, may serve as a surrogate marker for the response to systemic therapy in lung cancer. As a monitoring tool, it can provide the oncologist with a quick bedside method of identifying a lack of response to an anticancer treatment. This may allow quicker recognition than does the current RECIST analysis. Early recognition of treatment failure could improve patient care.
Copyright © 2016 International Association for the Study of Lung Cancer. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Biomarkers; Early detection; Exhale breath; Lung cancer

Mesh:

Substances:

Year:  2016        PMID: 26968885     DOI: 10.1016/j.jtho.2016.02.017

Source DB:  PubMed          Journal:  J Thorac Oncol        ISSN: 1556-0864            Impact factor:   15.609


  14 in total

Review 1.  Analyses of lung cancer-derived volatiles in exhaled breath and in vitro models.

Authors:  Fouad Choueiry; Addison Barham; Jiangjiang Zhu
Journal:  Exp Biol Med (Maywood)       Date:  2022-04-11

2.  Diagnosis and Classification of 17 Diseases from 1404 Subjects via Pattern Analysis of Exhaled Molecules.

Authors:  Morad K Nakhleh; Haitham Amal; Raneen Jeries; Yoav Y Broza; Manal Aboud; Alaa Gharra; Hodaya Ivgi; Salam Khatib; Shifaa Badarneh; Lior Har-Shai; Lea Glass-Marmor; Izabella Lejbkowicz; Ariel Miller; Samih Badarny; Raz Winer; John Finberg; Sylvia Cohen-Kaminsky; Frédéric Perros; David Montani; Barbara Girerd; Gilles Garcia; Gérald Simonneau; Farid Nakhoul; Shira Baram; Raed Salim; Marwan Hakim; Maayan Gruber; Ohad Ronen; Tal Marshak; Ilana Doweck; Ofer Nativ; Zaher Bahouth; Da-You Shi; Wei Zhang; Qing-Ling Hua; Yue-Yin Pan; Li Tao; Hu Liu; Amir Karban; Eduard Koifman; Tova Rainis; Roberts Skapars; Armands Sivins; Guntis Ancans; Inta Liepniece-Karele; Ilze Kikuste; Ieva Lasina; Ivars Tolmanis; Douglas Johnson; Stuart Z Millstone; Jennifer Fulton; John W Wells; Larry H Wilf; Marc Humbert; Marcis Leja; Nir Peled; Hossam Haick
Journal:  ACS Nano       Date:  2016-12-21       Impact factor: 15.881

Review 3.  Exhaled breath analysis for the early detection of lung cancer: recent developments and future prospects.

Authors:  Inbar Nardi-Agmon; Nir Peled
Journal:  Lung Cancer (Auckl)       Date:  2017-05-17

4.  Breath Analysis for Early Detection of Malignant Pleural Mesothelioma: Volatile Organic Compounds (VOCs) Determination and Possible Biochemical Pathways.

Authors:  Alessia Di Gilio; Annamaria Catino; Angela Lombardi; Jolanda Palmisani; Laura Facchini; Teresa Mongelli; Niccolò Varesano; Roberto Bellotti; Domenico Galetta; Gianluigi de Gennaro; Sabina Tangaro
Journal:  Cancers (Basel)       Date:  2020-05-16       Impact factor: 6.639

Review 5.  Electronic Nose as a Novel Method for Diagnosing Cancer: A Systematic Review.

Authors:  Chiara Baldini; Lucia Billeci; Francesco Sansone; Raffaele Conte; Claudio Domenici; Alessandro Tonacci
Journal:  Biosensors (Basel)       Date:  2020-07-25

6.  Investigation of different approaches for exhaled breath and tumor tissue analyses to identify lung cancer biomarkers.

Authors:  Elina Gashimova; Azamat Temerdashev; Vladimir Porkhanov; Igor Polyakov; Dmitry Perunov; Alice Azaryan; Ekaterina Dmitrieva
Journal:  Heliyon       Date:  2020-06-17

Review 7.  State of the art of colloidal particles and unique interfaces-based SARS-CoV-2 detection methods and COVID-19 diagnosis.

Authors:  Ebru Saatçi; Satheesh Natarajan
Journal:  Curr Opin Colloid Interface Sci       Date:  2021-05-29       Impact factor: 6.448

8.  VOC breath profile in spontaneously breathing awake swine during Influenza A infection.

Authors:  Selina Traxler; Ann-Christin Bischoff; Radost Saß; Phillip Trefz; Peter Gierschner; Beate Brock; Theresa Schwaiger; Claudia Karte; Ulrike Blohm; Charlotte Schröder; Wolfram Miekisch; Jochen K Schubert
Journal:  Sci Rep       Date:  2018-10-05       Impact factor: 4.379

9.  Optical sensory arrays for the detection of urinary bladder cancer-related volatile organic compounds.

Authors:  Simian Zhu; Stella Corsetti; Qifan Wang; Chunhui Li; Zhihong Huang; Ghulam Nabi
Journal:  J Biophotonics       Date:  2019-07-28       Impact factor: 3.207

10.  Quantitative Measures of Reliability and Sensitivity of Nanoparticle-Based Sensors in Detecting Volatile Organic Compounds.

Authors:  Abraham Sagiv; Elias Mansour; Raphael Semiat; Hossam Haick
Journal:  ACS Omega       Date:  2019-11-14
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