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. 2021 Oct 26;10:e68758. doi: 10.7554/eLife.68758

Figure 3. Infrared spectral signatures of lung, prostate, bladder, and breast cancer.

(a-a''') Differential fingerprints (standard deviations of the reference cohorts are displayed as grey areas), (b-b''') two-tailed p-value of Student’s t-test, and (c-c''') area under the receiver operating characteristic curve (AUC) per wavenumber (extracted by application of Mann–Whitney U test) compared to the AUC of the combined model (dashed horizontal lines). Confusion matrix summarizing the per-class accuracies of multiclass classification of (d) lung, bladder, and breast cancer (matched female cohort) with overall model accuracy of 0.73 ± 0.11, and (e) lung, bladder, and prostate cancer (matched male cohort) with overall model accuracy of 0.74 ± 0.13. Detailed cohort characteristics can be found in Figure 3—source data 1. Chance level for the three-class classification corresponds to 0.33 (LuCa: lung cancer; PrCa: prostate cancer; BrCa: breast cancer; BlCa: bladder cancer).

Figure 3—source data 1. Characteristics of the matched groups utilized for the analysis presented in Figure 3d and e.

Figure 3.

Figure 3—figure supplement 1. Comparison of signatures from different organ-specific pathologies.

Figure 3—figure supplement 1.

Differential fingerprints for (a) lung-related conditions (asthma, lung hamartoma, chronic obstructive pulmonary disease [COPD], lung cancer) and (b) prostate-related pathologies (benign prostate hyperplasia [BPH], prostate cancer). Receiver operating characteristic (ROC) curves for (a′) lung and (b′) prostate pathologies. All comparisons are against non-symptomatic references. The characteristics of the cohort used for this analysis are given in Figure 3—figure supplement 1—source data 1.
Figure 3—figure supplement 1—source data 1. Characteristics of the matched groups utilized for the analysis presented in Figure 3—figure supplement 1.