Dataset Information

Depression and Oropharynx Cancer Outcome.

ABSTRACT:

Background

Studies have shown a modest relationship between depression and mortality in patients with cancer. Our study addressed methodological weaknesses in the literature by restricting the sample to patients with one cancer type, adjusting for factors known to affect outcome, and following up patients for a sufficient period.

Methods

We prospectively followed patients newly diagnosed with squamous cell oropharyngeal cancer from the start of radiation therapy until death or until date of last clinical visit. All patients were optimally treated with radiation and sometimes chemotherapy. After adjusting for tumor stage, treatment, comorbidities, smoking, excessive alcohol use, and demographic factors, we assessed the effects of baseline self-reported depression on overall survival and recurrence.

Results

One hundred thirty participants were followed for a median of 5 years. The average age was 56 years, and 83% were male. Eighteen participants died during the study and 15 experienced disease recurrence. Self-reported depression was associated with decreased overall survival duration (hazard ratio = 3.6, 95% confidence interval = 1.2-10.8) and disease recurrence (hazard ratio = 3.8, 95% confidence interval = 1.2-12.2) in multivariate analysis. In addition, smoking was associated with disease recurrence.

Conclusions

Patients with oropharyngeal cancer may benefit from depression screening and evidence-based treatments, if appropriate. Future studies are needed to determine whether depression is an independent prognostic factor of outcome and to elucidate biobehavioral mechanisms involved in patients with oropharyngeal cancer.

SUBMITTER: Shinn EH

PROVIDER: S-EPMC4696911 | biostudies-literature | 2016 Jan

REPOSITORIES: biostudies-literature

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Publications

Depression and Oropharynx Cancer Outcome.

Shinn Eileen H EH Valentine Alan A Jethanandani Amit A Basen-Engquist Karen K Fellman Bryan B Urbauer Diana D Atkinson Emma E Yusuf Syed Wamique SW Lenihan Daniel D Woods Myrshia L ML Kies Merrill S MS Sood Anil K AK Carmack Cindy C Morrison William H WH Gillenwater Ann A Sturgis Erich M EM Garden Adam S AS

Psychosomatic medicine 20160101 1

<h4>Background</h4>Studies have shown a modest relationship between depression and mortality in patients with cancer. Our study addressed methodological weaknesses in the literature by restricting the sample to patients with one cancer type, adjusting for factors known to affect outcome, and following up patients for a sufficient period.<h4>Methods</h4>We prospectively followed patients newly diagnosed with squamous cell oropharyngeal cancer from the start of radiation therapy until death or unt ...[more]

PMID: 26632757

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Project description:PurposeA reliable and comprehensive cancer prognosis model for oropharyngeal cancer (OPC) could better assist in personalizing treatment. In this work, we developed a vision transformer-based (ViT-based) multilabel model with multimodal input to learn complementary information from available pretreatment data and predict multiple associated endpoints for radiation therapy for patients with OPC.Methods and materialsA publicly available data set of 512 patients with OPC was used for both model training and evaluation. Planning computed tomography images, primary gross tumor volume masks, and 16 clinical variables representing patient demographics, diagnosis, and treatment were used as inputs. To extract deep image features with global attention, we used a ViT module. Clinical variables were concatenated with the learned image features and fed into fully connected layers to incorporate cross-modality features. To learn the mapping between the features and correlated survival outcomes, including overall survival, local failure-free survival, regional failure-free survival, and distant failure-free survival, we employed 4 multitask logistic regression layers. The proposed model was optimized by combining the multitask logistic regression negative-log likelihood losses of different prediction targets.ResultsWe employed the C-index and area under the curve metrics to assess the performance of our model for time-to-event prediction and time-specific binary prediction, respectively. Our proposed model outperformed corresponding single-modality and single-label models on all prediction labels, achieving C-indices of 0.773, 0.765, 0.776, and 0.773 for overall survival, local failure-free survival, regional failure-free survival, and distant failure-free survival, respectively. The area under the curve values ranged between 0.799 and 0.844 for different tasks at different time points. Using the medians of predicted risks as the thresholds to identify high-risk and low-risk patient groups, we performed the log-rank test, the results of which showed significantly larger separations in different event-free survivals.ConclusionWe developed the first model capable of predicting multiple labels for OPC simultaneously. Our model demonstrated better prognostic ability for all the prediction targets compared with corresponding single-modality models and single-label models.

Project description:ImportanceEfforts are underway to deintensified treatment protocols for patients with human papillomavirus virus-associated oropharyngeal squamous cell carcinoma (HPV-OPSCC) to achieve similar excellent oncologic outcomes while reducing treatment-related adverse effects. Transoral robotic surgery (TORS) as primary treatment often requires adjuvant therapy due to the high incidence of nodal metastasis. Treatment with neoadjuvant chemotherapy followed by TORS and neck dissection (NECTORS), reserving radiation therapy for salvage, yields excellent oncologic outcomes.ObjectiveTo assess patient-reported quality of life (QOL) and functional outcomes among patients with HPV-OPSCC who undergo NECTORS.Design, settings, and participantsThis was a multicenter prospective cohort study of patients with HPV-OPSCC treated with the NECTORS protocol in 2017 to 2022. Consecutive patients with stage III or IVa HPV-OPSCC treated with NECTORS in 2017 to 2022 who had completed the primary QOL questionnaire at baseline and at least once during the 24-month follow-up period were included. Ninety-four patients were eligible, and 67 were included in the analyses.Outcome measuresQOL questionnaires at baseline, and at month 1, 3, 6, 12, 18, and 24 posttreatment. Global score on the 30-item European Organization for Research and Treatment of Cancer Core quality of life questionnaire (EORTC QLQ-C30) was the primary outcome; the head and neck extension module (EORTC QLQ-HN35); the MD Anderson Dysphagia Inventory for dysphagia-related QOL; and the Decision Regret Scale were also used. Paired t tests assessed change between the baseline and 12- or 24-month patient-reported outcomes.ResultsAmong the study population of 67 patients (median [range] age, 63 [58-67] years; 54 [80.6%] male) with HPV-OPSCC, the most frequent cancer subsites were palatine tonsil (41 [61%]) and base of tongue (26 [39%]); none required adjuvant RT. Global QOL at 24 months improved compared with baseline (mean difference, 9.49; 95% CI, 2.45 to 16.53). All EORTC QLQ-C30 functional scores returned to baseline or improved within 3 to 6 months posttreatment and remained stable at 24 months. EORTC QLQ-HN35 symptom scale scores improved or were stable at 24 months. The MD Anderson Dysphagia Inventory scores demonstrated no significant difference between baseline and month 12 for global scores (mean difference, 6.15; 95% CI, -4.18 to 16.49) and composite scores (mean difference, 2.73; 95% CI, -1.62 to 7.09). Median (range) score on the Decision Regret Scale was 5 of 100 (0-30), representing mild overall regret.Conclusion and relevanceThe findings of this multicenter cohort study indicate that use of the NECTORS protocol is associated with excellent QOL outcomes. QOL measures returned to baseline levels or were better than baseline, which represents positive outcomes for patients with HPV-OPSCC who undergo this treatment regimen.

Dataset Information

Depression and Oropharynx Cancer Outcome.

Background

Methods

Results

Conclusions

Publications

Depression and Oropharynx Cancer Outcome.

Similar Datasets

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