Development of a Multiplexed Assay for Oral Cancer Candidate Biomarkers Using Peptide Immunoaffinity Enrichment and Targeted Mass Spectrometry.

Oral cancer is one of the most common cancers worldwide, and there are currently no biomarkers approved for aiding its management. Although many potential oral cancer biomarkers have been discovered, very few have been verified in body fluid specimens in parallel to evaluate their clinical utility. The lack of appropriate multiplexed assays for chosen targets represents one of the bottlenecks to achieving this goal. In the present study, we develop a peptide immunoaffinity enrichment-coupled multiple reaction monitoring-mass spectrometry (SISCAPA-MRM) assay for verifying multiple reported oral cancer biomarkers in saliva. We successfully produced 363 clones of mouse anti-peptide monoclonal antibodies (mAbs) against 36 of 49 selected targets, and characterized useful mAbs against 24 targets in terms of their binding affinity for peptide antigens and immuno-capture ability. Comparative analyses revealed that an equilibrium dissociation constant (KD ) cut-off value < 2.82 × 10-9 m could identify most clones with an immuno-capture recovery rate >5%. Using these mAbs, we assembled a 24-plex SISCAPA-MRM assay and optimized assay conditions in a 25-µg saliva matrix background. This multiplexed assay showed reasonable precision (median coefficient of variation, 7.16 to 32.09%), with lower limits of quantitation (LLOQ) of <10, 10-50, and >50 ng/ml for 14, 7 and 3 targets, respectively. When applied to a model saliva sample pooled from oral cancer patients, this assay could detect 19 targets at higher salivary levels than their LLOQs. Finally, we demonstrated the utility of this assay for quantification of multiple targets in individual saliva samples (20 healthy donors and 21 oral cancer patients), showing that levels of six targets were significantly altered in cancer compared with the control group. We propose that this assay could be used in future studies to compare the clinical utility of multiple oral cancer biomarker candidates in a large cohort of saliva samples.

Saliva protein biomarkers to detect oral squamous cell carcinoma in a high-risk population in Taiwan.

Most cases of oral squamous cell carcinoma (OSCC) develop from visible oral potentially malignant disorders (OPMDs). The latter exhibit heterogeneous subtypes with different transformation potentials, complicating the early detection of OSCC during routine visual oral cancer screenings. To develop clinically applicable biomarkers, we collected saliva samples from 96 healthy controls, 103 low-risk OPMDs, 130 high-risk OPMDs, and 131 OSCC subjects. These individuals were enrolled in Taiwan's Oral Cancer Screening Program. We identified 302 protein biomarkers reported in the literature and/or through in-house studies and prioritized 49 proteins for quantification in the saliva samples using multiple reaction monitoring-MS. Twenty-eight proteins were successfully quantified with high confidence. The quantification data from non-OSCC subjects (healthy controls + low-risk OPMDs) and OSCC subjects in the training set were subjected to classification and regression tree analyses, through which we generated a four-protein panel consisting of MMP1, KNG1, ANXA2, and HSPA5. A risk-score scheme was established, and the panel showed high sensitivity (87.5%) and specificity (80.5%) in the test set to distinguish OSCC samples from non-OSCC samples. The risk score >0.4 detected 84% (42/50) of the stage I OSCCs and a significant portion (42%) of the high-risk OPMDs. Moreover, among 88 high-risk OPMD patients with available follow-up results, 18 developed OSCC within 5 y; of them, 77.8% (14/18) had risk scores >0.4. Our four-protein panel may therefore offer a clinically effective tool for detecting OSCC and monitoring high-risk OPMDs through a readily available biofluid.

Proteomics analysis of EV71-infected cells reveals the involvement of host protein NEDD4L in EV71 replication.

Enterovirus 71 (EV71) is a human enterovirus that has seriously affected the Asia-Pacific area for the past two decades. EV71 infection can result in mild hand-foot-and-mouth disease and herpangina and may occasionally lead to severe neurological complications in children. However, the specific biological processes that become altered during EV71 infection remain unclear. To further explore host responses upon EV71 infection, we identified proteins differentially expressed in EV71-infected human glioblastoma SF268 cells using isobaric mass tag (iTRAQ) labeling coupled with multidimensional liquid chromatography-mass spectrometry (LC-MS/MS). Network analysis of proteins altered in cells infected with EV71 revealed that the changed biological processes are related to protein and ion transport, regulation of protein degradation, and homeostatic processes. We confirmed that the levels of NEDD4L and PSMF1 were increased and reduced, respectively, in EV71-infected cells compared to mock-infected control cells. To determine the physiological relevance of our findings, we investigated the consequences of EV71 infection in cells with NEDD4L or PSMF1 depletion. We found that the depletion of NEDD4L significantly reduced the replication of EV71, whereas PSMF1 knockdown enhanced EV71 replication. Collectively, our findings provide the first evidence of proteome-wide dysregulation by EV71 infection and suggest a novel role for the host protein NEDD4L in the replication of this virus.

Secretome profiling of primary cells reveals that THBS2 is a salivary biomarker of oral cavity squamous cell carcinoma.

Oral cavity squamous cell carcinoma (OSCC), which is a leading cause of cancer-related death worldwide, is frequently associated with poor prognosis and mortality. The discovery of body fluid-accessible biomarkers may help improve the detection of OSCC. In the present work, we established primary cell cultures derived from OSCC and adjacent noncancerous epithelium and performed comparative profiling of their secretomes. Using spectral counting-based label-free quantification, we found that 64 proteins were significantly higher in primary OSCC cells compared with primary adjacent noncancerous cells. We then retrieved the mRNA expression levels of these 64 proteins in oral cavity tumor and noncancerous tissues from public domain array-based transcriptome data sets and used this information to prioritize the biomarker candidates. We identified 19 candidates; among them, the protein levels of THBS2, UFD1L, and DNAJB11 were found to be elevated in OSCC tissues compared with adjacent noncancerous epithelia. Importantly, higher levels of THBS2 in OSCC tissues were associated with a higher overall pathological stage, positive perineural invasion, and a poorer prognosis. Moreover, the salivary levels of THBS2 in OSCC patients were elevated compared to those of noncancer controls. Our results collectively indicate that analysis of the primary cell secretome is a feasible strategy for biomarker identification, and that THBS2 is a potentially useful salivary marker for the detection of OSCC.

Clinical validation of a saliva-based matrix metalloproteinase-1 rapid strip test for detection of oral cavity cancer.

BACKGROUND: We previously identified matrix metalloproteinase-1 (MMP-1) as one of the most promising salivary biomarkers for oral squamous cell carcinoma (OSCC) and developed a sensitive ELISA for MMP-1 with good performance in detection of OSCC using a cohort of 1160 saliva samples. METHODS: A time-saving rapid strip test (RST) for MMP-1 was developed in this study and its diagnostic performance compared with ELISA using saliva samples from a new cohort of 603 subjects (171 healthy controls, 236 patients with oral potentially malignant disorders, and 196 OSCC patients). RESULTS: Salivary MMP-1 levels measured using RST and ELISA were highly comparable and both assays could effectively distinguish between OSCC and non-cancerous groups. Similar to ELISA, receiver operating characteristic curve analysis of the MMP-1 RST was effective in identifying patients with OSCC at different oral cavity sites and stages. CONCLUSIONS: Salivary MMP-1 can be sensitively detected using both RST and ELISA methods. Our newly developed point-of-care MMP-1 RST is a promising in vitro diagnostic device (IVD) that may serve as a novel auxiliary tool in the routine clinical detection and monitoring of OSCC.

An immuno-MALDI mass spectrometry assay for the oral cancer biomarker, matrix metalloproteinase-1, in dried saliva spot samples.

Oral cavity cancer is a common cancer type that presents an increasingly serious global problem. Oral squamous cell carcinoma (OSCC) accounts for >90% oral cancer cases. No biomarker tests are currently available for management of this cancer type in clinical practice. Previously, we validated matrix metalloproteinase-1 (MMP1) as one of the most promising salivary biomarkers for OSCC detection. Development of a convenient, rapid and high-throughput assay should further facilitate application of salivary MMP1 measurement for early detection of OSCC. The present study aimed to develop a workflow comprising dry saliva spot (DSS) sampling and immunoenrichment-coupled MALDI-TOF MS (immuno-MALDI) analysis to quantify salivary MMP1. We generated recombinant MMP1 protein and anti-peptide antibodies against MMP1, which were used to optimize the procedures of the entire workflow, including DSS sampling, on-paper protein digestion and elution, KingFisher magnetic particle processor-assisted immuno-enrichment and MALDI-TOF MS analysis. The established workflow was applied to measure salivary MMP1 levels in DSS samples from 5 healthy donors and 9 OSCC cases. The newly developed workflow showed good precision (intra-day and inter-day variations <10%) and accuracy (80-100%) in quantification of MMP1 in DSS samples, with the limit of quantification at 3.07 ng/ml. Using this assay, we successfully detected elevated salivary MMP1 levels (ranging from 5.95 to 242.52 ng/ml) in 7 of 9 OSCC cases while MMP1 was not detectable in samples from the 5 healthy donors. In comparison, the traditional immunoassay was not effective in measuring MMP1 in DSS samples, highlighting the significant advantage of our immuno-MALDI assay. The DSS sampling format confers high flexibility and convenience of collection, storage and delivery of saliva specimens and the KingFisher-assisted immuno-MALDI analysis renders the assay as suitable for high-throughput screening. By combining the two features, the workflow developed in this study should facilitate improvement of molecular diagnostic tests for OSCC using salivary MMP1 as a biomarker.

Assessment of candidate biomarkers in paired saliva and plasma samples from oral cancer patients by targeted mass spectrometry.

For oral cancer, numerous saliva- and plasma-derived protein biomarker candidates have been discovered and/or verified; however, it is unclear about the behavior of these candidates as saliva or plasma biomarkers. In this study, we developed two targeted assays, MRM and SISCAPA-MRM, to quantify 30 potential biomarkers in both plasma and saliva samples collected from 30 healthy controls and 30 oral cancer patients. Single point measurements were used for target quantification while response curves for assay metric determination. In comparison with MRM assay, SISCAPA-MRM effectively improved (>1.5 fold) the detection sensitivity of 11 and 21 targets in measurement of saliva and plasma samples, respectively. The integrated results revealed that the salivary levels of these 30 selected biomarkers weakly correlated (r < 0.2) to their plasma levels. Five candidate biomarkers (MMP1, PADI1, TNC, CSTA and MMP3) exhibited significant alterations and disease-discriminating powers (AUC = 0.914, 0.827, 0.813, 0.77, and 0.753) in saliva sample; nevertheless, no such targets could be found in plasma samples. Our data support the notion that saliva may be more suitable for the protein biomarker-based detection of oral cancer, and the newly developed SISCAPA-MRM assay could be applied to verify multiple oral cancer biomarker candidates in saliva samples. SIGNIFICANCE: In this work we systematically determined the abundance of 30 selected targets in the paired saliva and plasma samples to evaluate the utility of saliva and plasma samples for protein biomarker-based detection of oral cancer. Our study provides significant evidence to support the use of saliva, but not blood samples, offer more opportunity to achieve the success of protein biomarker discovery for oral cancer detection.

Salivary auto-antibodies as noninvasive diagnostic markers of oral cavity squamous cell carcinoma.

BACKGROUND: Oral cavity squamous cell carcinoma (OSCC) is one of the most common cancers worldwide, and its incidence is still increasing. Approximately 50% of patients with OSCC die within 5 years after diagnosis, mostly ascribed to the fact that the majority of patients present advanced stages of OSCC at the time of diagnosis. METHODS: To discover salivary biomarkers for ameliorating the detection of OSCC, herein, we developed a multiplexed bead-based platform to simultaneously detect auto-antibodies (auto-Abs) in salivary samples. RESULTS: Compared with healthy individuals, the salivary levels of anti-p53, anti-survivin, anti-Hsp60, and anti-RPLP0 were significantly elevated in patients with OSCC. Noteworthily, the elevated levels of anti-p53, anti-survivin, and anti-Hsp60 were already observed in individuals with oral potentially malignant disorder. Moreover, the salivary levels of anti-p53, anti-survivin, anti-Hsp60, anti-RPLP0, and anti-CK8 were significantly elevated in patients with early-stage OSCC compared with those in healthy individuals. Most importantly, the use of a combined panel of salivary anti-p53, anti-survivin, anti-Hsp60, and anti-RPLP0 largely improves the detection of OSCC. CONCLUSION: Collectively, our results reveal that the salivary auto-Abs are effective OSCC biomarkers and the four-auto-Ab panel provides a novel and practicable approach for OSCC screening. IMPACT: This study provides the first evidence for the potential clinical application of salivary auto-Abs in OSCC diagnosis.