Levels of Glandular Kallikrein in Whole Saliva Obtained from Patients with Solid Tumors Remote from the Oral Cavity

Jenzano, Joyce W.; Courts, Nancy Fleming; Timko, D.A.; Lundblad, Roger L.

doi:10.1177/00220345860650011201

Cited by 27 publications

(13 citation statements)

References 16 publications

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“…An early example of such testing comes from the work of Jenzano et al (1986a, b), Jenzano, Brown and Mauriello (1987), Jenzano et al (1988). They reported the use of saliva to detect kallikrein in patients with solid tumors that were remote from the oral cavity.…”

Section: Oncologymentioning

confidence: 99%

Saliva as a diagnostic fluid

2002

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In the last 10 years, the use of saliva as a diagnostic fluid has become somewhat of a translational research success story. Technologies are now available enabling saliva to be used to diagnose disease and predict disease progression. This review describes some important recent advances in salivary diagnostics and barriers to application and advancement. This review will also stimulate future research activity.

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Section: Oncologymentioning

confidence: 99%

Saliva as a diagnostic fluid

2002

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“…The earliest work on using salivary proteins as disease biomarkers of distal organs can be traced back to 1986 when the Kallikreina salivary biomarkers for detection of breast cancer and gastrointestinal cancer were published [2]. Since then, a number of salivary proteins have been found to have elevated levels in patients of specific cancer types compared to the healthy population such as PSA for prostate cancer [3], c-tumor protein erbB-2 and p53 for breast cancer [4].…”

Section: Introductionmentioning

confidence: 99%

Computational Prediction of Human Salivary Proteins from Blood Circulation and Application to Diagnostic Biomarker Identification

et al. 2013

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Proteins can move from blood circulation into salivary glands through active transportation, passive diffusion or ultrafiltration, some of which are then released into saliva and hence can potentially serve as biomarkers for diseases if accurately identified. We present a novel computational method for predicting salivary proteins that come from circulation. The basis for the prediction is a set of physiochemical and sequence features we found to be discerning between human proteins known to be movable from circulation to saliva and proteins deemed to be not in saliva. A classifier was trained based on these features using a support-vector machine to predict protein secretion into saliva. The classifier achieved 88.56% average recall and 90.76% average precision in 10-fold cross-validation on the training data, indicating that the selected features are informative. Considering the possibility that our negative training data may not be highly reliable (i.e., proteins predicted to be not in saliva), we have also trained a ranking method, aiming to rank the known salivary proteins from circulation as the highest among the proteins in the general background, based on the same features. This prediction capability can be used to predict potential biomarker proteins for specific human diseases when coupled with the information of differentially expressed proteins in diseased versus healthy control tissues and a prediction capability for blood-secretory proteins. Using such integrated information, we predicted 31 candidate biomarker proteins in saliva for breast cancer.

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“…One of these studies that serve to establish the basis for salivary cancer biomarker research comes from the research of Jenzano et al (8–11). These investigators report the use of saliva to detect variations in kallikrein concentrations, a regulatory protease, among healthy individuals and patients with malignant breast and gastrointestinal tumors.…”

Section: Introductionmentioning

confidence: 99%