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. 2022 May 23;17:11772719221100709. doi: 10.1177/11772719221100709

Table 1.

Studies on the analysis of patient-derived body fluids, animal-derived fluids, and BC cell lines.

No. of study Title Author Disease
Case-control
Breath
1 Early diagnosis of breast cancer from exhaled breath by gas chromatography-mass spectrometry (GC-MS) analysis: a prospective cohort study Zhang et al 51 Breast, gastric cancer
2 Differentiation between genetic mutations of breast cancer by breath volatolomics Barash et al 52 Breast cancer
3 Volatile organic metabolites identify patients with breast cancer, cyclomastopathy, and mammary gland fibroma Wang et al 53 Breast cancer
4 Investigation of potential breath biomarkers for the early diagnosis of breast cancer using gas chromatography–mass spectrometry Li et al 54 Breast cancer
5 Volatile organic compounds (VOCs) in exhaled breath of patients with breast cancer in a clinical setting Mangler et al 55 Breast cancer
6 Detection of lung, breast, colorectal, and prostate cancers from exhaled breath using a single array of nanosensors Peng et al 56 Breast, lung, colorectal, prostate cancer
7 Volatile biomarkers in the breath of women with breast cancer Phillips et al 57 Breast cancer
8 Prediction of breast cancer using volatile biomarkers in the breath Phillips et al 58 Breast cancer
9 Volatile markers of breast cancer in the breath Phillips et al 59 Breast cancer
10 Quantitative analysis by gas chromatography of volatile carbonyl compounds in expired air from mice and human Ebeler et al 60 Breast cancer
Urine
11 Implementing a central composite design for the optimisation of solid phase microextraction to establish the urinary volatomic expression: a first approach for breast cancer Silva et al 62 Breast cancer
12 Exploring the potential of needle trap microextraction combined with chromatographic and statistical data to discriminate different types of cancer based on urinary volatomic biosignature Porto-Figueira et al 63 Breast, colon cancer
13 A non-invasive approach to explore the discriminatory potential of the urinary volatilome of invasive ductal carcinoma of the breast Taunk et al 64 Breast cancer
14 Solid phase microextraction, mass spectrometry and metabolomic approaches for detection of potential urinary cancer biomarkers–a powerful strategy for breast cancer diagnosis Silva et al 65 Breast cancer
Others
15 Volatomic pattern of breast cancer and cancer-free tissues as a powerful strategy to identify potential biomarkers Silva et al 61 Breast cancer
16 Screening of salivary volatiles for putative breast cancer discrimination: an exploratory study involving geographically distant populations Cavaco et al 30 Breast cancer
In vivo
Urine
17 Urinary volatile terpenes analysed by gas chromatography-mass spectrometry to monitor breast cancer treatment efficacy in mice Woollam et al 66 Breast cancer
18 Detection of volatile organic compounds (VOCs) in urine via gas chromatography-mass spectrometry QTOF to differentiate between localised and metastatic models of breast cancer Woollam et al 67 Breast cancer
In vitro
Culture media
19 Identification of characteristic compounds of moderate volatility in breast cancer cell lines Tanaka et al 68 Breast cancer
20 Extracellular volatilomic alterations induced by hypoxia in breast cancer cells Taware et al 69 Breast cancer
21 Effect of H2O2 induced oxidative stress (OS) on volatile organic compounds (VOCs) and intracellular metabolism in MCF-7 breast cancer cells Liu et al 70 Metabolism in MCF-7 cells
22 Volatile metabolomic signature of human breast cancer cell lines Silva et al 71 Breast cancer
23 Investigation of biomarkers for discriminating breast cancer cell lines from normal mammary cell lines based on VOCs analysis and metabolomics Huang et al 72 Breast cancer
24 Investigation of VOCs associated with different characteristics of breast cancer cells Lavra et al 73 Breast cancer
Mass spectrometry
25 Breath mass ion biomarkers of breast cancer Phillips et al 74 Breast cancer
26 Secondary electrospray ionisation-mass spectrometry and a novel statistical bioinformatic approach identifies a cancer-related profile in exhaled breath of breast cancer patients: a pilot study Martinez-Lozano Sinues et al 75 Breast cancer
27 Fingerprinting breast cancer vs. normal mammary cells by mass spectrometric analysis of volatiles He et al 76 Breast cancer
E-nose
28 Breath biopsy of breast cancer using sensor array signals and machine learning analysis Yang et al 77 Breast cancer
29 Identification of profiles of volatile organic compounds in exhaled breath by means of an electronic nose as a proposal for a screening method for breast cancer: a case-control study Díaz de León-Martínez et al 78 Breast cancer
30 An in-vitro study for early detection and to distinguish breast and lung malignancies using the PCB technology based nanodosimeter Venkatraman and Sureka 79 Breast, Lung cancer
31 Effect of humidity on nanoparticle-based chemiresistors: a comparison between synthetic and real-world samples Konvalina and Haick 80 Breast cancer
32 Classification of breast cancer precursors through exhaled breath Shuster et al 81 Breast cancer
Studies containing both GC-MS analysis and E-nose
2 Differentiation between genetic mutations of breast cancer by breath volatolomics Barash et al 52 Breast cancer
6 Detection of lung, breast, colorectal, and prostate cancers from exhaled breath using a single array of nanosensors Peng et al 56 Breast, lung, colorectal, prostate cancer
24 Investigation of VOCs associated with different characteristics of breast cancer cells Lavra et al 73 Breast cancer
30 An in-vitro study for early detection and to distinguish breast and lung malignancies using the PCB technology based nanodosimeter Venkatraman and Sureka 79 Breast, Lung cancer
31 Effect of humidity on nanoparticle-based chemiresistors: a comparison between synthetic and real-world samples Konvalina and Haick 80 Breast cancer