Molecular fingerprinting in breast cancer (BC) screening using Quantum Optics (QO) technology combined with an artificial intelligence (AI) approach applying the concept of “molecular profiles at n variables (MPnV)”: A prospective pilot study

Background: Breast cancer is the most common cancer in women. While mammography is the standard for early detection in women older than 50 years of age, there is no standard for younger women. The aim of this prospective pilot study was to assess liquid crystal contact thermography, using the Braster device, as a means for the early detection of breast cancer. The device is intended to be used as a complementary tool to standard of care (sonography, mammography, etc). Patients and Methods: A total of 274 consecutive women presenting at Polish breast centers for prophylactic breast examination were enrolled to receive thermography; 19 were excluded for errors in thermographic image acquisition. The women were divided according to age (n = 135, <50 years; n = 120, ≥50 years). A control population was included (n = 40, <50 years; n = 23, ≥50 years). The primary endpoint, stratified by age group, was the C-statistic for discrimination between breast cancer and noncancer. Results: In women with abnormal breast ultrasound (n = 95, <50 years; n = 87, ≥50 years), the C-statistic was 0.85 and 0.75, respectively ( P = .20), for discrimination between breast cancer and noncancer. Sensitivity did not differ ( P = .79) between the younger (82%) and older women (78%), while specificity was lower in the older women (60% vs 87%, P = .025). The false-positive rate was similar in women with normal and abnormal breast ultrasound. Positive thermographic result in women with Breast Imaging Reporting and Data System (BIRADS) 4A on ultrasound increased the probability of breast cancer by over 2-fold. Conversely, a negative thermographic result decreased the probability of cancer more than 3-fold. Breast size and structure did not affect the thermography performance. No adverse events were observed. Conclusions: Thermography performed well in women <50 years of age, while its specificity in women ≥50 years was inadequate. These promising findings suggest that the Braster device deserves further investigation as a supporting tool for the early detection of breast cancer in women younger than 50 years of age.

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Breast-cancer detection using blood-based infrared molecular fingerprints

BMC Cancer ◽

10.1186/s12885-021-09017-7 ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Kosmas V. Kepesidis ◽

Masa Bozic-Iven ◽

Marinus Huber ◽

Nashwa Abdel-Aziz ◽

Sharif Kullab ◽

...

Keyword(s):

Breast Cancer ◽

Cancer Screening ◽

Pilot Study ◽

Cancer Detection ◽

Early Stage ◽

Statistical Significance ◽

Breast Cancer Detection ◽

Support Vector ◽

Molecular Fingerprinting ◽

Statistical Significance Testing

Abstract Background Breast cancer screening is currently predominantly based on mammography, tainted with the occurrence of both false positivity and false negativity, urging for innovative strategies, as effective detection of early-stage breast cancer bears the potential to reduce mortality. Here we report the results of a prospective pilot study on breast cancer detection using blood plasma analyzed by Fourier-transform infrared (FTIR) spectroscopy – a rapid, cost-effective technique with minimal sample volume requirements and potential to aid biomedical diagnostics. FTIR has the capacity to probe health phenotypes via the investigation of the full repertoire of molecular species within a sample at once, within a single measurement in a high-throughput manner. In this study, we take advantage of cross-molecular fingerprinting to probe for breast cancer detection. Methods We compare two groups: 26 patients diagnosed with breast cancer to a same-sized group of age-matched healthy, asymptomatic female participants. Training with support-vector machines (SVM), we derive classification models that we test in a repeated 10-fold cross-validation over 10 times. In addition, we investigate spectral information responsible for BC identification using statistical significance testing. Results Our models to detect breast cancer achieve an average overall performance of 0.79 in terms of area under the curve (AUC) of the receiver operating characteristic (ROC). In addition, we uncover a relationship between the effect size of the measured infrared fingerprints and the tumor progression. Conclusion This pilot study provides the foundation for further extending and evaluating blood-based infrared probing approach as a possible cross-molecular fingerprinting modality to tackle breast cancer detection and thus possibly contribute to the future of cancer screening.

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