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 |