Literature DB >> 24815034

Investigation of potential breath biomarkers for the early diagnosis of breast cancer using gas chromatography-mass spectrometry.

Jie Li1, Yulan Peng2, Yong Liu3, Wenwen Li3, Ya Jin2, Zhentao Tang3, Yixiang Duan4.   

Abstract

BACKGROUND: Breast cancer (BC) remains the most commonly diagnosed malignancy in women. We investigated 4 straight aldehydes in the exhaled breath as potential early BC diagnostic biomarkers.
METHODS: End-tailed breath were collected by Bio-VOC® sampler and assayed by gas chromatography-mass spectrometry. Kruskal-Wallis one-way analysis of variance test and binary logistic regression were used for data analysis. The diagnostic accuracies were evaluated by receiver operating characteristic curves. A predictive model/equation was generated using the 4 biomarkers and validated by leave-one-out cross-validation.
RESULTS: All four potential biomarkers demonstrated significant differences in concentrations between BC and healthy controls (HC) (p<0.05). The areas under the curves (AUCs) in HC vs BCI-II model using hexanal, heptanal, octanal, and nonanal were 0.816, 0.809, 0.731, and 0.830, respectively. The AUC for their combined use was 0.934 (sensitivity 91.7%, specificity 95.8%) in the early diagnosis of BC. The predictive model/equation exhibited good sensitivity (72.7%) and specificity (91.7%) in distinguishing between HC and BC (cross-validation: sensitivity 68.2% and specificity 91.7%).
CONCLUSIONS: The diagnostic values of 4 exhaled straight aldehydes as early diagnostic biomarkers for BC were successfully verified and the diagnostic accuracy improved in their combined use.
Copyright © 2014 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Biomarkers; Breast cancer; Breath analysis; Early diagnosis; Noninvasive diagnosis

Mesh:

Substances:

Year:  2014        PMID: 24815034     DOI: 10.1016/j.cca.2014.04.030

Source DB:  PubMed          Journal:  Clin Chim Acta        ISSN: 0009-8981            Impact factor:   3.786


  22 in total

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Journal:  BMC Oral Health       Date:  2022-07-01       Impact factor: 3.747

Review 2.  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

3.  Accuracy and Methodologic Challenges of Volatile Organic Compound-Based Exhaled Breath Tests for Cancer Diagnosis: A Systematic Review and Meta-analysis.

Authors:  George B Hanna; Piers R Boshier; Sheraz R Markar; Andrea Romano
Journal:  JAMA Oncol       Date:  2019-01-10       Impact factor: 31.777

Review 4.  Breath analysis as a potential and non-invasive frontier in disease diagnosis: an overview.

Authors:  Jorge Pereira; Priscilla Porto-Figueira; Carina Cavaco; Khushman Taunk; Srikanth Rapole; Rahul Dhakne; Hampapathalu Nagarajaram; José S Câmara
Journal:  Metabolites       Date:  2015-01-09

5.  Early Detection of Lung Cancer Using Nano-Nose - A Review.

Authors:  M P Fernandes; S Venkatesh; B G Sudarshan
Journal:  Open Biomed Eng J       Date:  2015-08-31

Review 6.  Noninvasive metabolic profiling for painless diagnosis of human diseases and disorders.

Authors:  Mainak Mal
Journal:  Future Sci OA       Date:  2016-06-10

7.  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

8.  A non-invasive tool for detecting cervical cancer odor by trained scent dogs.

Authors:  Héctor Guerrero-Flores; Teresa Apresa-García; Ónix Garay-Villar; Alejandro Sánchez-Pérez; David Flores-Villegas; Artfy Bandera-Calderón; Raúl García-Palacios; Teresita Rojas-Sánchez; Pablo Romero-Morelos; Verónica Sánchez-Albor; Osvaldo Mata; Víctor Arana-Conejo; Jesús Badillo-Romero; Keiko Taniguchi; Daniel Marrero-Rodríguez; Mónica Mendoza-Rodríguez; Miriam Rodríguez-Esquivel; Víctor Huerta-Padilla; Andrea Martínez-Castillo; Irma Hernández-Gallardo; Ricardo López-Romero; Cindy Bandala; Juan Rosales-Guevara; Mauricio Salcedo
Journal:  BMC Cancer       Date:  2017-01-26       Impact factor: 4.430

9.  A unique volatile signature distinguishes malaria infection from other conditions that cause similar symptoms.

Authors:  Hannier Pulido; Nina M Stanczyk; Consuelo M De Moraes; Mark C Mescher
Journal:  Sci Rep       Date:  2021-07-06       Impact factor: 4.379

Review 10.  Detection of cancer through exhaled breath: a systematic review.

Authors:  Agne Krilaviciute; Jonathan Alexander Heiss; Marcis Leja; Juozas Kupcinskas; Hossam Haick; Hermann Brenner
Journal:  Oncotarget       Date:  2015-11-17
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