Raman chemometric urinalysis (Rametrix) as a screen for bladder cancer

被引:33
作者
Huttanus, Herbert M. [1 ]
Vu, Tommy [2 ]
Guruli, Georgi [3 ]
Tracey, Andrew [3 ]
Carswell, William [1 ]
Said, Neveen [4 ]
Du, Pang [5 ]
Parkinson, Bing G. [6 ]
Orlando, Giuseppe [7 ]
Robertson, John L. [8 ,9 ]
Senger, Ryan S. [2 ,8 ]
机构
[1] Virginia Tech, Dept Biol Syst Engn, Blacksburg, VA USA
[2] Virginia Tech, Dept Chem Engn, Blacksburg, VA 24061 USA
[3] Virginia Commonwealth Univ, Dept Surg Urol, Richmond, VA USA
[4] Wake Forest Sch Med, Dept Canc Biol, Winston Salem, NC 27101 USA
[5] Virginia Tech, Dept Stat, Blacksburg, VA USA
[6] Lewis Gale Med Ctr, Internal Med, Salem, VA USA
[7] Wake Forest Univ, Baptist Med Ctr, Dept Surg Sci Transplant, Winston Salem, NC 27101 USA
[8] DialySensors Inc, Blacksburg, VA 24060 USA
[9] Virginia Tech, Dept Biomed Engn & Mech, Blacksburg, VA USA
关键词
ESCHERICHIA-COLI; URINE; CYTOLOGY; HEMATURIA; MARKER; SPECTROSCOPY; CARCINOMA; TESTS; TUMOR; CARE;
D O I
10.1371/journal.pone.0237070
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Bladder cancer (BCA) is relatively common and potentially recurrent/progressive disease. It is also costly to detect, treat, and control. Definitive diagnosis is made by examination of urine sediment, imaging, direct visualization (cystoscopy), and invasive biopsy of suspect bladder lesions. There are currently no widely-used BCA-specific biomarker urine screening tests for early BCA or for following patients during/after therapy. Urine metabolomic screening for biomarkers is costly and generally unavailable for clinical use. In response, we developed Raman spectroscopy-based chemometric urinalysis (Rametrix (TM)) as a direct liquid urine screening method for detecting complex molecular signatures in urine associated with BCA and other genitourinary tract pathologies. In particular, the Rametrix(TM)screen used principal components (PCs) of urine Raman spectra to build discriminant analysis models that indicate the presence/absence of disease. The number of PCs included was varied, and all models were cross-validated by leave-one-out analysis. In Study 1 reported here, we tested the Rametrix (TM) screen using urine specimens from 56 consented patients from a urology clinic. This proof-of-concept study contained 17 urine specimens with active BCA (BCA-positive), 32 urine specimens from patients with other genitourinary tract pathologies, seven specimens from healthy patients, and the urinalysis control Surine(TM). Using a model built with 22 PCs, BCA was detected with 80.4% accuracy, 82.4% sensitivity, 79.5% specificity, 63.6% positive predictive value (PPV), and 91.2% negative predictive value (NPV). Based on the number of PCs included, we found the Rametrix(TM)screen could be fine-tuned for either high sensitivity or specificity. In other studies reported here, Rametrix(TM)was also able to differentiate between urine specimens from patients with BCA and other genitourinary pathologies and those obtained from patients with end-stage kidney disease (ESKD). While larger studies are needed to improve Rametrix(TM)models and demonstrate clinical relevance, this study demonstrates the ability of the Rametrix(TM)screen to differentiate urine of BCA-positive patients. Molecular signature variances in the urine metabolome of BCA patients included changes in: phosphatidylinositol, nucleic acids, protein (particularly collagen), aromatic amino acids, and carotenoids.
引用
收藏
页数:21
相关论文
共 53 条
[1]  
[Anonymous], 2021, CA Cancer J Clin
[2]   Phenotypic Profiling of Antibiotic Response Signatures in Escherichia coli Using Raman Spectroscopy [J].
Athamneh, A. I. M. ;
Alajlouni, R. A. ;
Wallace, R. S. ;
Seleem, M. N. ;
Senger, R. S. .
ANTIMICROBIAL AGENTS AND CHEMOTHERAPY, 2014, 58 (03) :1302-1314
[3]   Peptide-Guided Surface-Enhanced Raman Scattering Probes for Localized Cell Composition Analysis [J].
Athamneh, Ahmad I. M. ;
Senger, Ryan S. .
APPLIED AND ENVIRONMENTAL MICROBIOLOGY, 2012, 78 (21) :7805-7808
[4]   Cytology by infrared micro-spectroscopy: Automatic distinction of cell types in urinary cytology [J].
Bird, Benjamin ;
Romeo, Melissa J. ;
Diem, Max ;
Bedrossian, Kristi ;
Laver, Nora ;
Naber, Stephen .
VIBRATIONAL SPECTROSCOPY, 2008, 48 (01) :101-106
[5]   How to pre-process Raman spectra for reliable and stable models? [J].
Bocklitz, Thomas ;
Walter, Angela ;
Hartmann, Katharina ;
Roesch, Petra ;
Popp, Juergen .
ANALYTICA CHIMICA ACTA, 2011, 704 (1-2) :47-56
[6]   The Human Urine Metabolome [J].
Bouatra, Souhaila ;
Aziat, Farid ;
Mandal, Rupasri ;
Guo, An Chi ;
Wilson, Michael R. ;
Knox, Craig ;
Bjorndahl, Trent C. ;
Krishnamurthy, Ramanarayan ;
Saleem, Fozia ;
Liu, Philip ;
Dame, Zerihun T. ;
Poelzer, Jenna ;
Huynh, Jessica ;
Yallou, Faizath S. ;
Psychogios, Nick ;
Dong, Edison ;
Bogumil, Ralf ;
Roehring, Cornelia ;
Wishart, David S. .
PLOS ONE, 2013, 8 (09)
[7]   A COMMUNITY STUDY OF BLADDER-CANCER SCREENING BY THE DETECTION OF OCCULT URINARY BLEEDING [J].
BRITTON, JP ;
DOWELL, AC ;
WHELAN, P ;
HARRIS, CM .
JOURNAL OF UROLOGY, 1992, 148 (03) :788-790
[8]   Hematuria as a Marker of Occult Urinary Tract Cancer [J].
Brown, Robert S. .
ANNALS OF INTERNAL MEDICINE, 2016, 165 (08) :601-602
[9]   Current Trends in Cancer Biottiarker Discovery Using Urinary Metabolomics: Achievements and New Challenges [J].
Burton, Casey ;
Ma, Yinfa .
CURRENT MEDICINAL CHEMISTRY, 2019, 26 (01) :5-28
[10]   Modulated Raman spectroscopy for enhanced identification of bladder tumor cells in urine samples [J].
Canetta, Elisabetta ;
Mazilu, Michael ;
De Luca, Anna Chiara ;
Carruthers, Antonia E. ;
Dholakia, Kishan ;
Neilson, Sam ;
Sargeant, Harry ;
Briscoe, Tina ;
Herrington, C. Simon ;
Riches, Andrew C. .
JOURNAL OF BIOMEDICAL OPTICS, 2011, 16 (03)