Follow‐up after oral cancer treatment transition to a personalised approach

2020 ◽  
Author(s):  
Marieke Brands ◽  
André Verbeek ◽  
Sandra Geurts ◽  
Thijs Merkx
Keyword(s):  
Oral Cancer ◽  
Cancer Treatment

scholarly journals 13-gene DNA Methylation Analysis from Oral Brushing: A Promising Non Invasive Tool in the Follow-up of Oral Cancer Patients

2019 ◽  
Vol 8 (12) ◽  
pp. 2107 ◽  
Author(s):  
Davide B. Gissi ◽  
Achille Tarsitano ◽  
Andrea Gabusi ◽  
Roberto Rossi ◽  
Giuseppe Attardo ◽  
...  
Keyword(s):  
Dna Methylation ◽  
Oral Cancer ◽  
Cancer Treatment ◽  
Sample Collection ◽  
Methylation Analysis ◽  
Non Invasive ◽  
Locoregional Relapse ◽  
Positive Score ◽  
Dna Methylation Analysis

Background: This study aimed to evaluate the prognostic value of a non-invasive sampling procedure based on 13-gene DNA methylation analysis in the follow-up of patients previously treated for oral squamous cell carcinoma (OSCC). Methods: The study population included 49 consecutive patients treated for OSCC. Oral brushing sample collection was performed at two different times: before any cancer treatment in the tumor mass and during patient follow-up almost 6 months after OSCC treatment, within the regenerative area after OSCC resection. Each sample was considered positive or negative in relation to a predefined cut-off value. Results: Before any cancer treatment, 47/49 specimens exceeded the score and were considered as positive. Six months after OSCC resection, 16/49 specimens also had positive scores in the samples collected from the regenerative area. During the follow-up period, 7/49 patients developed locoregional relapse: 6/7 patients had a positive score in the regenerative area after OSCC resection. The presence of a positive score after oral cancer treatment was the most powerful variable related to the appearance of locoregional relapse. Conclusion: 13-gene DNA methylation analysis by oral brushing may have a clinical application as a prognostic non-invasive tool in the follow-up of patients surgically treated for OSCC.

scholarly journals Nurse led follow-up for CML patients on oral cancer treatment

2018 ◽  
Vol 29 ◽  
pp. viii685
Author(s):  
S. De Wilde ◽  
J. De Munter ◽  
M. Quaghebeur ◽  
D. Mazure ◽  
A. De Pauw ◽  
...  
Keyword(s):  
Oral Cancer ◽  
Cancer Treatment

scholarly journals Development and Validation of an Interpretable Artificial Intelligence Model to Predict 10-Year Prostate Cancer Mortality

Cancers ◽  
2021 ◽  
Vol 13 (12) ◽  
pp. 3064
Author(s):  
Jean-Emmanuel Bibault ◽  
Steven Hancock ◽  
Mark K. Buyyounouski ◽  
Hilary Bagshaw ◽  
John T. Leppert ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Cancer Treatment ◽  
Cancer Mortality ◽  
Treatment Strategies ◽  
Gradient Boosting ◽  
Prostate Cancer Treatment ◽  
Prospective Data ◽  
Prostate Cancer Mortality ◽  
Development And Validation

Prostate cancer treatment strategies are guided by risk-stratification. This stratification can be difficult in some patients with known comorbidities. New models are needed to guide strategies and determine which patients are at risk of prostate cancer mortality. This article presents a gradient-boosting model to predict the risk of prostate cancer mortality within 10 years after a cancer diagnosis, and to provide an interpretable prediction. This work uses prospective data from the PLCO Cancer Screening and selected patients who were diagnosed with prostate cancer. During follow-up, 8776 patients were diagnosed with prostate cancer. The dataset was randomly split into a training (n = 7021) and testing (n = 1755) dataset. Accuracy was 0.98 (±0.01), and the area under the receiver operating characteristic was 0.80 (±0.04). This model can be used to support informed decision-making in prostate cancer treatment. AI interpretability provides a novel understanding of the predictions to the users.

Psychological distress at follow-up after major surgery for intra-oral cancer

1989 ◽  
Vol 33 (4) ◽  
pp. 441-448 ◽  
Author(s):  
Colin A. Espie ◽  
Eric Freedlander ◽  
Linda M. Campsie ◽  
David S. Soutar ◽  
A.G. Robertson
Keyword(s):  
Psychological Distress ◽  
Oral Cancer ◽  
Major Surgery

scholarly journals PPARγ targeted oral cancer treatment and additional utility of genomics analytic techniques

2016 ◽  
Vol 127 (4) ◽  
pp. E124-E131 ◽  
Author(s):  
Nathan Handley ◽  
Jacob Eide ◽  
Randall Taylor ◽  
Beverly Wuertz ◽  
Patrick Gaffney ◽  
...  
Keyword(s):  
Oral Cancer ◽  
Cancer Treatment

External Beam Radiotherapy With Endocavitary Boost for Nasopharyngeal Cancer: Treatment Results and Late Toxicity After Extended Follow-Up

2010 ◽  
Vol 78 (3) ◽  
pp. 689-695 ◽  
Author(s):  
Dominic A.X. Schinagl ◽  
Henri A.M. Marres ◽  
Arnoud C. Kappelle ◽  
Matthias A.W. Merkx ◽  
Lucas A.M. Pop ◽  
...  
Keyword(s):  
Cancer Treatment ◽  
External Beam Radiotherapy ◽  
Nasopharyngeal Cancer ◽  
Late Toxicity ◽  
External Beam ◽  
Treatment Results

Small cell lung cancer treatment in Paul Stradins Clinical University Hospital (Riga, Latvia) – Update after 3 year follow up

Lung Cancer ◽  
2012 ◽  
Vol 77 ◽  
pp. S34-S35
Author(s):  
Viktors Kozirovskis ◽  
Vija Bērziņa ◽  
Aija Geriņa-Bērziņa ◽  
Elīna Skuja ◽  
Arturs Šorubalko ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Cancer Treatment ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Small Cell ◽  
University Hospital ◽  
Small Cell Lung ◽  
Lung Cancer Treatment
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