Nomogram for predicting symptom severity during radiation therapy for head and neck cancer

Chemoradiotherapy vs radiotherapy for non-surgical locally advanced laryngeal squamous cell carcinoma patients: a propensity score-matched study and practical nomogram construction

OBJECTIVE

To compare the cancer-specific survival (CSS) among patients with locally advanced laryngeal squamous cell carcinoma (LSCC) receiving chemoradiotherapy (CRT) and radiotherapy (RT) treatment, as well as to establish a prognostic nomogram for survival prediction in patients receiving CRT.

METHOD

Using data from the Surveillance, Epidemiology, and End Results (SEER) database, patients with laryngeal cancer were identified between 2010 and 2015, with follow-up up to 2018. Propensity score matching (PSM) was performed to minimize disproportionate distributions of the potential confounding. Cox regression models were used to evaluate the CSS of two treatment groups. A prognostic nomogram for patients receiving CRT was then developed and evaluated.

RESULTS

Totally 1085 non-surgical patients with locally advanced LSCC were included in this study (median [IQR] age, 62 [55-69] years; 829 [76.41%] males), of which 913 receiving CRT and 172 receiving RT. After PSM, significantly improved CSS was observed in locally advanced LSCC patients receiving CRT when compared to RT (HR: 0.62 [95% CI 0.42-0.92]; P = 0.014). Then, in the group of 639 locally advanced LSCC patients receiving CRT, a prognostic nomogram based on age, tumor size, N category, and marital status were developed and validated, of which the predictive performance was superior to that of TNM staging system (7th edition).

CONCLUSION

CSS shows a statistically significant improvement in locally advanced LSCC patients who receipt of CRT when compared with RT. Furthermore, a prognostic nomogram for locally advanced LSCC patients receiving CRT was established, which shows a good calibration and identification accuracy.

Serum biomarkers predict adjuvant chemotherapy-associated symptom clusters in radical resected colorectal cancer patients

BACKGROUND

Due to individual heterogeneity, patients at the same stage of colorectal cancer (CRC) who receive the same chemotherapy may experience different symptom clusters. Identifying the precise factors that predict symptom clusters is of great clinical significance for precision care and for improving the quality of life of patients. The present study investigated the relationship between serum biomarkers and adjuvant chemotherapy-related symptom clusters in radically resected CRC patients.

METHODS

Serum biomarkers and clinical/pathological characteristics of the radical resected CRC patients were collected before the first cycle of adjuvant chemotherapy. A demographic questionnaire and M.D. Anderson Gastrointestinal Cancer Symptom Scale (MDASI-GI) were performed on the third day after chemotherapy and exploratory factor analysis was performed to determine the symptoms clusters. Multiple linear regression and correlation analysis were also performed to evaluate the correlation between serum biomarkers and chemotherapy-related symptom clusters.

RESULTS

A total of 4 chemotherapy-related symptom clusters were determined in the enrolled radical resected CRC patients, including a fatigue-psychological symptom cluster, gastrointestinal symptom cluster, neurotoxic symptom cluster, and constipation-abdominal distension symptom cluster. Further analysis showed that the gastrointestinal symptom cluster was significantly associated with age, gender, weight change status, neutrophil to lymphocyte ratio (NLR), and body mass index (BMI). Additionally, the fatigue-psychological symptom cluster was found to be significantly associated with high NLR. The neurotoxic symptom cluster was found to be significantly associated with low hemoglobin level.

CONCLUSIONS

Serum biomarkers and clinical characteristics of the radical resected CRC patients could be used to predict chemotherapy-related symptoms clusters.

External Validation of a Predictive Model for Acute Skin Radiation Toxicity in the REQUITE Breast Cohort

Background: Acute skin toxicity is a common and usually transient side-effect of breast radiotherapy although, if sufficiently severe, it can affect breast cosmesis, aftercare costs and the patient's quality-of-life. The aim of this study was to develop predictive models for acute skin toxicity using published risk factors and externally validate the models in patients recruited into the prospective multi-center REQUITE (validating pREdictive models and biomarkers of radiotherapy toxicity to reduce side-effects and improve QUalITy of lifE in cancer survivors) study.

Methods: Patient and treatment-related risk factors significantly associated with acute breast radiation toxicity on multivariate analysis were identified in the literature. These predictors were used to develop risk models for acute erythema and acute desquamation (skin loss) in three Radiogenomics Consortium cohorts of patients treated by breast-conserving surgery and whole breast external beam radiotherapy (n = 2,031). The models were externally validated in the REQUITE breast cancer cohort (n = 2,057).

Results: The final risk model for acute erythema included BMI, breast size, hypo-fractionation, boost, tamoxifen use and smoking status. This model was validated in REQUITE with moderate discrimination (AUC 0.65), calibration and agreement between predicted and observed toxicity (Brier score 0.17). The risk model for acute desquamation, excluding the predictor tamoxifen use, failed to validate in the REQUITE cohort.

Conclusions: While most published prediction research in the field has focused on model development, this study reports successful external validation of a predictive model using clinical risk factors for acute erythema following radiotherapy after breast-conserving surgery. This model retained discriminatory power but will benefit from further re-calibration. A similar model to predict acute desquamation failed to validate in the REQUITE cohort. Future improvements and more accurate predictions are expected through the addition of genetic markers and application of other modeling and machine learning techniques.

Implications of Treatment Modality on Chronic Opioid Use Following Treatment for Head and Neck Cancer

Objective

To investigate the relationship between treatment modality and chronic opioid use in a large cohort of patients with head and neck cancer.

Study Design

Retrospective cohort study.

Setting

Single academic center.

Methods

There were 388 patients with head and neck cancer treated between January 2011 and December 2017 who met inclusion criteria. Clinical risk factors for opioid use at 3 and 6 months were determined with univariate and multivariate analyses.

Results

The prevalence of opioid use was 43.0% at 3 months and 33.2% at 6 months. On multivariate analysis, primary chemoradiation (odds ratio [OR], 4.04; 95% CI, 1.91-8.55) and surgery with adjuvant chemoradiation (OR, 2.39; 95% CI, 1.09-5.26) were associated with opioid use at 3 months. Additional risk factors at that time point included pretreatment opioid use (OR, 7.63; 95% CI, 4.09-14.21) and decreasing age (OR, 1.03; 95% CI, 1.01-1.06). At 6 months, primary chemoradiation (OR, 2.40; 95% CI, 1.34-4.28), pretreatment opioid use (OR, 5.86; 95% CI, 3.30-10.38), current tobacco use (OR, 2.00; 95% CI, 1.18-3.40), and psychiatric disorder (OR, 1.79; 95% CI, 1.02-3.14) were associated with opioid use.

Conclusion

Of the patients who receive different treatment modalities, those receiving primary chemoradiation are independently at highest risk for chronic opioid use. Other risk factors include pretreatment opioid use, tobacco use, and a psychiatric disorder. In an effort to reduce their risk of chronic opioid use, preventative strategies should be especially directed to these patients.

A prognostic nomogram for overall survival in male breast cancer with histology of infiltrating duct carcinoma after surgery

Objective

The study was designed to construct and validate a nomogram for predicting overall survival (OS) of male breast cancer (MBC) patients with infiltrating duct carcinoma (IDC).

Methods

The cohort was selected from the Surveillance, Epidemiology, and End Results (SEER) database between January 1, 2004 and December 31, 2013. Univariate and multivariate Cox proportional hazard (PH) regression models were performed. A nomogram was developed based on the significant prognostic indicators of OS. The discriminatory and predictive capacities of nomogram were assessed by Harrell's concordance index (C-index), calibration plots, area under the curve (AUC) and the decision curve analysis (DCA).

Results

The median and maximal survival time of 1862 eligible patients were 49 and 131 months, respectively. Multivariate analysis showed that age (P < 0.0001), marital status (P = 0.002), T stage (P < 0.0001), N stage (P = 0.021), M stage (P < 0.0001), progesterone receptor (PR) (P = 0.046), human epidermal growth factor receptor-2 (HER2) (P = 0.009), and chemotherapy (P = 0.003) were independent prognostic indicators of IDC of MBC. The eight variables were then combined to construct a 3-and 5-year nomogram. The C-indexes of the nomogram were0.740 (95% confidence interval [CI] [0.709-0.771]) and 0.718 (95% CI [0.672-0.764]) for the internal validation and external validation, respectively. A better discriminatory capacity was observed in the nomogram compared with the SEER summary stage (P < 0.001) and AJCC TNM staging systems (6th edition; P < 0.001) with respect to OS prediction. Good consistency was detected between the nomogram prediction and actual findings, as indicated by calibration curves. The AUC for 3-and 5-year OS was 0.739 (95% CI [0.693-0.786]) and 0.764 (95% CI [0.725-0.803]) in the training cohort and 0.737 (95% CI [0.671-0.803]) and 0.735 (95% CI [0.678-0.793]) in the validation cohort, respectively. The DCA demonstrated that the survival nomogram was clinically useful.

Conclusions

The nomogram was able to more accurately predict 3-and 5-year OS of MBC patients with IDC histology than were existing models.

Symptom Burden Associated With Late Lower Cranial Neuropathy in Long-term Oropharyngeal Cancer Survivors

Importance

Lower cranial neuropathy (LCNP) is a rare but potentially disabling result of radiotherapy and other head and neck cancer therapies. Survivors who develop late LCNP may experience profound functional impairment, with deficits in swallowing, speech, and voice.

Objective

To investigate the association of late LCNP with severity of cancer treatment-related symptoms and subsequent general functional impairment among oropharyngeal cancer (OPC) survivors.

Design, Setting, and Participants

This cross-sectional survey study analyzed 889 OPC survivors nested within a retrospective cohort of OPC survivors treated at MD Anderson Cancer Center from January 1, 2000, to December 31, 2013. Eligible survey participants were disease free and completed OPC treatment 1 year or more before the survey. Data analysis was performed from October 10, 2017, to March 15, 2018.

Exposures

Late LCNP defined by onset 3 months or more after cancer therapy.

Main Outcomes and Measures

The primary outcome variable was the mean of the top 5 most severely scored symptoms of all 22 core and head and neck cancer-specific symptoms from the MD Anderson Symptom Inventory Head and Neck Cancer Module (MDASI-HN). Secondary outcomes included mean MDASI-HN interference scores and single-item scores of the most severe symptoms. Multivariate models regressed MDASI-HN scores on late LCNP status, adjusting for clinical covariates.

Results

Overall, 36 of 889 OPC survivors (4.0%) (753 [84.7%] male; 821 [92.4%] white; median [range] age, 56 [32-84] years; median [range] survival time, 7 [1-16] years) developed late LCNP. Late LCNP was significantly associated with worse mean top 5 MDASI-HN symptom scores (coefficient, 1.54; 95% CI, 0.82-2.26), adjusting for age, survival time, sex, therapeutic modality, T stage, subsite, type of radiotherapy, smoking, and normal diet before treatment. Late LCNP was also significantly associated with single-item scores for difficulty swallowing or chewing (coefficient, 2.25; 95% CI, 1.33-3.18), mucus (coefficient, 1.97; 95% CI, 1.03-2.91), fatigue (coefficient, 1.35; 95% CI, 0.40-2.21), choking (coefficient, 1.53; 95% CI, 0.65-2.41), and voice or speech symptoms (coefficient, 2.30; 95% CI, 1.60-3.03) in multivariable models. Late LCNP was not significantly associated with mean interference scores after correction for multiple comparisons (mean interference coefficient, 0.72; 95% CI, 0.09-1.35).

Conclusions and Relevance

In this large survey study, OPC survivors with late LCNP reported worse cancer treatment-related symptoms, a finding suggesting an association between late LCNP and symptom burden. This research may inform the development and implementation of strategies for LCNP surveillance and management.

Construction and validation of a nomogram to predict overall survival in patients with inflammatory breast cancer

In the present study, we examined the factors affecting survival of women with inflammatory breast cancer (IBC) and constructed and validated a nomogram to predict overall survival (OS) in these patients. The cohort was selected from the Surveillance, Epidemiology, and End Results (SEER) program between 1 January 2004 and 31 December 2013. Univariate and multivariate Cox proportional hazards regression models were constructed. A nomogram was developed based on significant prognostic indicators of OS. The discriminatory and predictive capacities of the nomogram were assessed using Harrell's concordance index (C‐index) and calibration plots. A total of 1651 eligible patients were identified, with a median survival time of 31 months (range 0‐131 months), and the 3‐ and 5‐year OS rates were 52.8% and 39.5%, respectively. Multivariate analysis revealed that race (P < .001), marital status (P = .011), N stage (P = .002), M stage (P < .001), hormone receptor (P < .001), human epidermal growth factor receptor‐2 (HER2) (P = .001), surgery (P < .001), chemotherapy (P < .001), and radiotherapy (P = .010) were independent prognostic indicators of IBC. These nine variables were incorporated to construct a nomogram. The C‐indexes of the nomogram were 0.738 (95% confidence interval [CI]: 0.717, 0.759) and 0.741 (95% CI: 0.717, 0.765) for the internal and external validations, respectively. The nomogram had a better discriminatory capacity for predicting OS than did the SEER summary stage (P < .001) or the American Joint Committee on Cancer tumor‐node metastasis staging systems (8th edition; P < .001). The calibration plot revealed satisfactory agreement between the findings and predicted outcomes in both the internal and external validations. The nomogram‐based 3‐ and 5‐year OS predictions for patients with IBC exhibited superior accuracy over the existing models.

Brainstem dose is associated with patient-reported acute fatigue in head and neck cancer radiation therapy

BACKGROUND AND PURPOSE

Radiation (RT) dose to the central nervous system (CNS) has been implicated as a contributor to treatment-related fatigue in head and neck cancer (HNC) patients undergoing radiation therapy (RT). This study evaluates the association of RT dose to CNS structures with patient-reported (PRO) fatigue scores in a population of HNC patients.

MATERIALS AND METHODS

At pre-RT (baseline), 6th week of RT, and 1-month post-RT time points, Multidimensional Fatigue Inventory (MFI-20) scores were prospectively obtained from 124 patients undergoing definitive treatment for HNC. Medulla, pons, midbrain, total brainstem, cerebellum, posterior fossa, and pituitary dosimetry were evaluated using summary statistics and dose-volume histograms, and associations with MFI-20 scores were analyzed.

RESULTS

Maximum dose (Dmax) to the brainstem and medulla was significantly associated with MFI-20 scores at 6th week of RT and 1-month post-RT time points, after controlling for baseline scores (p<0.05). Each 1Gy increase in medulla Dmax resulted in an increase in total MFI-20 score over baseline of 0.30 (p=0.026), and 0.25 (p=0.037), at the 6th week of RT and 1-month post-RT, respectively. Each 1Gy increase in brainstem Dmax resulted in an increase in total MFI-20 score over baseline of 0.30 (p=0.027), and 0.25 (p=0.037) at the 6th week of RT, 1-month post-RT, respectively. Statistically significant associations were not found between dosimetry for the other CNS structures and MFI-20 scores.

CONCLUSIONS

In this analysis of PRO fatigue scores from a population of patients undergoing definitive RT for HNC, maximum dose to the brainstem and medulla was associated with a significantly increased risk of acute patient fatigue.

Having Medicaid insurance negatively impacts outcomes in patients with head and neck malignancies

BACKGROUND

Patients covered by Medicaid insurance appear to have poorer cancer outcomes. Herein, the authors sought to test whether Medicaid was associated with worse outcomes among patients with head and neck cancer (HNC).

METHODS

The records of 1698 patients with squamous cell HNC without distant metastatic disease were retrospectively reviewed from an institutional database between 1998 and 2011. At the time of diagnosis, insurance status was categorized as Medicaid, Medicare/other government insurance, or private insurance. Outcomes including locoregional control (LRC) and overall survival (OS) were estimated using the Kaplan-Meier method and Cox regression multivariate analysis (MVA).

RESULTS

The median follow-up for all patients was 35 months. Medicaid patients comprised 11% of the population; the remaining patients were privately insured (56%) or had Medicare/government insurance (34%). On MVA, Medicaid patients were younger, were current smokers, had higher tumor T and N classifications, and experienced a longer time from diagnosis to treatment initiation (all P<.005). Medicaid insurance status was associated with a deficit of 13% in LRC (69% vs 82%) and 26% in OS (46% vs 72%) at 3 years (all with P<.001). A time from diagnosis to treatment initiation of >45 days was found to be associated with worse 3-year LRC (77% vs 83%; P = .009) and OS (68% vs 71%; P = .008). On MVA, Medicaid remained associated with a deficit in LRC (P = .002) and OS (P<.001).

CONCLUSIONS

Patients with Medicaid insurance more often present with locally advanced HNC and experience a higher rate of treatment delays compared with non-Medicaid patients. Medicaid insurance status appears to be independently associated with deficits in LRC and OS. Improvements in the health care system, such as expediting treatment initiation, may improve the outcomes of patients with HNC. Cancer 2016;122:3529-3537. © 2016 American Cancer Society.

Management of Oropharyngeal Cancer in the HPV Era

Background

Historically, oropharyngeal cancer (OPC) has been attributed to risk factors such as smoking and alcohol use. The increased incidence of OPC has been driven by human papillomavirus (HPV) infection.

Methods

A search of the literature involving HPV infection and OPC was performed, along with a search of ongoing clinical trials regarding HPV-positive OPC.

Results

This review summarizes the differences in epidemiology and prognosis of HPV-positive OPC compared with non–HPV-related OPC. It will also discuss use of de-escalating treatment to minimize toxicity while maintaining excellent outcomes. Disease management is also addressed, including prevention and follow-up recommendations for this cohort of patients.

Conclusions

HPV-positive OPC is a distinct disease, and efforts should be made to personalize its management. Preventive measures and vaccinations, along with de-escalation of treatment, may help optimize outcomes in this population.

Linguistic Validation of the Turkish Version of the M.D. Anderson Symptom Inventory - Head and Neck Cancer Module

BACKGROUND

The use of patient symptom reports with frequent symptom assessment may be preferred over the more commonly used health-related quality of life questionnaires.

AIMS

We sought to linguistically validate the Turkish version of the M.D. Anderson Symptom Inventory-Head and Neck module (MDASI-HN) patient reported outcome questionnaire.

STUDY DESIGN

Validation study.

METHODS

Following standard forward and backward translation of the original and previously validated English MDASI-HN into a Turkish version (T-MDASI-HN), it was administered to patients with head and neck cancer able to read and understand Turkish. Patients were then cognitively debriefed to evaluate their understanding and comprehension of the T-MDASI-HN. Individual and group responses are presented using descriptive statistics.

RESULTS

Twenty-six participants with head and neck cancer completed the T-MDASIHN and accompanying cognitive debriefing. Overall, 97 percent of the individual TMDASI-HN items were completed. Average recorded time to complete the 28 item TMDASI-HN questionnaire was 5.4 minutes (range 2-10). Average overall ease of completion, understandability, and acceptability were favorably rated at 1.0, 1.1, and 0.2, respectively, on scales from 0 to 10. Only 5 of the 26 of participants reported trouble completing any single questionnaire items, namely the "difficulty remembering" item for 3 individuals.

CONCLUSION

The T-MDASI-HN is linguistically valid with ease of completion, relevance, comprehensibility, and applicability and it can be a useful clinical and research tool.

Computerized patient-reported symptom assessment in radiotherapy: a pilot randomized, controlled trial

PURPOSE

Computer-based, patient-reported symptom survey tools have been described for patients undergoing chemotherapy. We hypothesized that patients undergoing radiotherapy might also benefit, so we developed a computer application to acquire symptom ratings from patients and generate summaries for use at point of care office visits and conducted a randomized, controlled pilot trial to test its feasibility.

METHODS

Subjects were randomized prior to beginning radiotherapy. Both control and intervention group subjects completed the computerized symptom assessment, but only for the intervention group were printed symptom summaries made available before each weekly office visit. Metrics compared included the Global Distress Index (GDI), concordance of patient-reported symptoms and symptoms discussed by the physician and numbers of new and/or adjusted symptom management medications prescribed.

RESULTS

One hundred twelve patients completed the study: 54 in the control and 58 in the intervention arms. There were no differences in GDI over time between the control and intervention groups. In the intervention group, more patient-reported symptoms were actually discussed in radiotherapy office visits: 46/202 vs. 19/230. A sensitivity analysis to account for within-subjects correlation yielded 23.2 vs. 10.3 % (p = 0.03). Medications were started or adjusted at 15.4 % (43/280) of control visits compared to 20.4 % (65/319) of intervention visits (p = 0.07).

CONCLUSIONS

This computer application is easy to use and makes extensive patient-reported outcome data available at the point of care. Although no differences were seen in symptom trajectory, patients who had printed symptom summaries had improved communication during office visits and a trend towards a more active symptom management during radiotherapy.