Application of proximity ligation assays to identify potential plasma biomarkers in oral cavity cancer patients: A case control study

BACKGROUND: Practical cancer biomarkers for oral cavity cancer are currently in limited use. OBJECTIVE: We aimed to investigate the differences in soluble E-cadherin between patients with oral cavity cancer and matched healthy participants via Proximity Ligation Assay (PLA). METHODS: Samples were taken from both patients diagnosed with oral cavity cancer, as well as non-cancerous participants. PLA was used to detect soluble E-cadherin and Cycle threshold (Ct) values derived from qPCR in order to calculate the number of starting amplicons. RESULTS: In total, 74 patients with oral cavity cancer and 55 matched non-cancerous participants were included for final analysis. The Ct value of E-cadherin was found to be lower in oral cavity cancer patients when compared with that of the matched non-cancerous participants (20.72 ± 0.39 versus 21.27 ± 0.45, P< 0.001). Using a Ct value of 20.9 as a cut-off point, the sensitivity and specificity of discriminating patients with oral cavity cancer from the healthy controls was 63.5% and 87.3%, respectively. CONCLUSION: Plasma soluble E-cadherin levels were significantly higher in patients with oral cavity cancer when compared with those from the matched non-cancerous participants.

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Less Is More? The Association between Survival and Follow-Up Protocol after Treatment in Oral Cavity Cancer Patients from a Betel Quid-Prevalent Region

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph182312596 ◽

2021 ◽

Vol 18 (23) ◽

pp. 12596

Author(s):

Shih-An Liu ◽

Chen-Chi Wang ◽

Rong-San Jiang ◽

Yu-Chi Tung

Keyword(s):

Oral Cavity ◽

Cancer Patients ◽

Oral Cavity Cancer ◽

Demographic Data ◽

Final Analysis ◽

Treatment Modalities ◽

Imaging Studies ◽

Less Is More ◽

The Impact

The optimal follow-up protocol after treatment of oral cavity cancer patients is still debatable. We aimed to investigate the impact of frequency of different imaging studies and follow-up visits on the survival of oral cavity cancer patients. The current study retrospectively reviewed oral cavity cancer patients who underwent surgical intervention in our hospital. Basic demographic data, tumor-related features, treatment modalities, imaging studies, and clinic visits were recorded. Cox proportional hazard model was used to examine the influence of variables on the survival of oral cavity cancer patients. In total, 741 patients with newly diagnosed oral cavity cancer were included in the final analysis. Overall, the frequency of imaging studies was not associated with survival in the multivariate analysis, except PET scan (hazard ratio [HR]: 5.30, 95% confidence interval [CI]: 3.57–7.86). However, in late-stage and elder patients, frequent head and neck CT/MRI scan was associated with a better prognosis (HR: 0.55, 95% CI: 0.36–0.84; HR: 0.52, 95% CI: 0.30–0.91, respectively). In conclusion, precision medicine is a global trend nowadays. Different subgroups may need different follow-up protocols. Further prospective study is warranted to clarify the relationship between frequency of image studies and survival of oral cavity cancer patients.

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Risk Factors for Wound Infection After Surgery in Primary Oral Cavity Cancer Patients

The Laryngoscope ◽

10.1097/01.mlg.0000249737.05840.29 ◽

2007 ◽

Vol 117 (1) ◽

pp. 166-171 ◽

Cited By ~ 59

Author(s):

Shih-An Liu ◽

Yong-Kie Wong ◽

Chiu-Kwan Poon ◽

Chen-Chi Wang ◽

Ching-Ping Wang ◽

...

Keyword(s):

Risk Factors ◽

Oral Cavity ◽

Wound Infection ◽

Cancer Patients ◽

Oral Cavity Cancer

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Quantification of HER family dimers by proximity ligation assay and its clinical evaluation in non–small cell lung cancer patients treated with osimertinib

Lung Cancer ◽

10.1016/j.lungcan.2021.05.023 ◽

2021 ◽

Author(s):

Renpeng Liu ◽

Keiichi Ota ◽

Eiji Iwama ◽

Yasuto Yoneshima ◽

Kentaro Tanaka ◽

...

Keyword(s):

Lung Cancer ◽

Small Cell Lung Cancer ◽

Cancer Patients ◽

Clinical Evaluation ◽

Small Cell ◽

Proximity Ligation Assay ◽

Small Cell Lung ◽

Her Family ◽

Lung Cancer Patients ◽

Proximity Ligation

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The impact of seasonal operating room closures on wait times for oral cancer surgery

Current Oncology ◽

10.3747/co.25.3726 ◽

2018 ◽

Vol 25 (1) ◽

pp. 67 ◽

Cited By ~ 4

Author(s):

N. Mundi ◽

J. Theurer ◽

A. Warner ◽

J. Yoo ◽

K. Fung ◽

...

Keyword(s):

Oral Cavity ◽

Cancer Patients ◽

Operating Room ◽

Oral Cavity Cancer ◽

Tertiary Care ◽

Wait Time ◽

Disease Recurrence ◽

Health Science ◽

Wait Times ◽

The Impact

Background Operating room slowdowns occur at specific intervals in the year as a cost-saving measure. We aim to investigate the impact of these slowdowns on the care of oral cavity cancer patients at a Canadian tertiary care centre.Methods A total of 585 oral cavity cancer patients seen between 1999 and 2015 at the London Health Science Centre (lhsc) Head and Neck Multidisciplinary Clinic were included in this study. Operating room hours and patient load from 2006 to 2014 were calculated. Our primary endpoint was the wait time from consultation to definitive surgery. Exposure variables were defined according to wait time intervals occurring during time periods with reduced operating room hours.Results Overall case volume rose significantly from 2006 to 2014 (p < 0.001), while operating room hours remained stable (p = 0.555). Patient wait times for surgery increased from 16.3 days prior to 2003 to 25.5 days in 2015 (p = 0.008). Significant variability in operating room hours was observed by month, with lowest reported for July and August (p = 0.002). The greater the exposure to these months, the more likely patients were to wait longer than 28 days for surgery (odds ratio per day [or]: 1.07, 95% confidence interval [ci]: 1.05 to 1.10, p < 0.001). Individuals seen in consultation preceding a month with below average operating room hours had a higher risk of disease recurrence and/or death (hazard ratio [hr]: 1.59, 95% ci: 1.10 to 2.30, p = 0.014).Conclusions Scheduled reductions in available operating room hours contribute to prolonged wait times and higher disease recurrence. Further work is needed to identify strategies maximizing efficient use of health care resources without negatively affecting patient outcomes.

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