Detection of Prostate Cancer by an Electronic Nose: A Proof of Principle Study
Abstract
Purpose:
We evaluate the ability of an electronic nose to discriminate prostate cancer from benign prostatic hyperplasia using urine headspace, potentially offering a clinically applicable noninvasive and rapid diagnostic method.
Materials and Methods:
The ChemPro® 100-eNose was used to discriminate prostate cancer from benign prostatic hyperplasia using urine sample headspace. Its performance was tested with 50 patients with confirmed prostate cancer and 24 samples from 15 patients with benign prostatic hyperplasia (15 patients provided urine preoperatively and 9 patients provided samples 3 months postoperatively) scheduled to undergo robotic assisted laparoscopic radical prostatectomy or transurethral resection of prostate, respectively. The patients provided urine sample preoperatively and those with benign prostatic hyperplasia also provided samples 3 months postoperatively to be used as a pooled control sample population. A discrimination classifier was identified for eNose and subsequently, sensitivity and specificity values were determined. Leave-one-out cross-validation was performed.
Results:
Using leave-one-out cross-validation the eNose reached a sensitivity of 78%, a specificity of 67% and AUC 0.77.
Conclusions:
The electronic nose is capable of rapidly and noninvasively discriminating prostate cancer and benign prostatic hyperplasia using urine headspace in patients undergoing surgery.
References
- 1 : Global cancer statistics. CA Cancer J Clin2011; 61: 69. Google Scholar
- 2 : EAU guidelines on prostate cancer. Part 1: screening, diagnosis, and treatment of clinically localised disease. Eur Urol2011; 59: 61. Google Scholar
- 3 : Prostate specific antigen for early detection of prostate cancer: longitudinal study. BMJ2009; 339: b3537. Google Scholar
- 4 : The incidence of fluoroquinolone resistant infections after prostate biopsy–are fluoroquinolones still effective prophylaxis?. J Urol2008; 179: 952. Link, Google Scholar
- 5 : Risk stratification in prostate cancer screening. Nat Rev Urol2012; 10: 38. Google Scholar
- 6 : Sniffer dogs in the melanoma clinic?. Lancet1989; 1: 734. Google Scholar
- 7 : Olfactory detection of human bladder cancer by dogs: proof of principle study. BMJ2004; 329: 712. Google Scholar
- 8 : Diagnostic accuracy of canine scent detection in early- and late-stage lung and breast cancers. Integr Cancer Ther2006; 5: 30. Google Scholar
- 9 : Colorectal cancer screening with odour material by canine scent detection. Gut2011; 60: 814. Google Scholar
- 10 : The use of canines in the detection of human cancers. J Altern Complement Med2008; 14: 61. Google Scholar
- 11 : Olfactory detection of prostate cancer by dogs sniffing urine: a step forward in early diagnosis. Eur Urol2011; 59: 197. Google Scholar
- 12 Lippi G: Re: Jean-Nicolas Cornu, Géraldine Cancel-Tassin, Valérie Ondet et al. Olfactory detection of prostate cancer by dogs sniffing urine: a step forward in early diagnosis. Eur Urol 2011; 59: 197–201. Eur Urol 2011; 60: e29. Google Scholar
- 13 : Dogs sniffing urine: a future diagnostic tool or a way to identify new prostate cancer markers?. Eur Urol2011; 59: 202. Google Scholar
- 14 : Canine olfactory detection of cancer versus laboratory testing: myth or opportunity?. Clin Chem Lab Med2011; 50: 435. Google Scholar
- 15 : Advances in electronic-nose technologies developed for biomedical applications. Sensors (Basel)2011; 11: 1105. Google Scholar
- 16 : Applications and advances in electronic-nose technologies. Sensors2009; 9: 5099. Google Scholar
- 17 : An investigation on electronic nose diagnosis of lung cancer. Lung Cancer2010; 68: 170. Google Scholar
- 18 : Detection of lung, breast, colorectal, and prostate cancers from exhaled breath using a single array of nanosensors. Br J Cancer2010; 103: 542. Google Scholar
- 19 : Application of metabolomics to prostate cancer. Urol Oncol2011; 29: 572. Google Scholar
- 20 : A preliminary study on the possibility to diagnose urinary tract cancers by an electronic nose. Sens Actuators B Chem2008; 131: 1. Google Scholar
- 21 : Detection of smell print differences between nonmalignant and malignant prostate cells with an electronic nose. Future Oncol2012; 8: 1157. Google Scholar
- 22 : Combining miniaturized ion mobility spectrometer and metal oxide gas sensor for the fast detection of toxic chemical vapors. Sens Actuators B Chem2003; 93: 17. Google Scholar
- 23 : Pattern Recognition and Machine Learning. New York: Springer2006: 1. Google Scholar
- 24 : Bootstrap confidence intervals. Stat Sci1996; 11: 189. Google Scholar
- 25 : Applied Regression Analysis. New York: John Wiley & Sons, Inc.1998. Google Scholar
- 26 : Application of holistic liquid chromatography-high resolution mass spectrometry based urinary metabolomics for prostate cancer detection and biomarker discovery. PLoS One2013; 8: e65880. Google Scholar
- 27 : Serum prostate-specific antigen in a community-based population of healthy men. Establishment of age-specific reference ranges. JAMA1993; 270: 860. Crossref, Medline, Google Scholar
- 28 : Operating characteristics of prostate-specific antigen in men with an initial PSA level of 3.0 ng/ml or lower. JAMA2005; 294: 66. Google Scholar
- 29 : Detailed mapping of prostate carcinoma foci: biopsy strategy implications. Cancer2000; 89: 1800. Google Scholar
- 30 : Serial biopsy results in prostate cancer screening study. J Urol2002; 167: 2435. Link, Google Scholar