When do patient reported quality of life indicators become prognostic in breast cancer?

Latent profile analysis for assessing symptom clusters in women with breast cancer

PURPOSE

To identify symptom clusters among breast cancer survivors and investigate differences in health-related quality of life (HRQoL) and distress based on these discerned symptom clusters using latent profile analysis.

METHODS

We enrolled 655 adult breast cancer survivors aged 19 years and older, registered with the Cancer Survivor Integrated Supportive Center from May 2020 to July 2022. The study measured five symptoms-pain, fatigue, insomnia, anxiety, and depression-using a Visual Analogue Scale ranging from 0 to 10 points. Distress was measured using the National Comprehensive Cancer Network Distress Thermometer, with scores ranging from 0 to 10 points. HRQoL was determined using the EuroQol-5 Dimension questionnaire. Data analysis was conducted using the Jamovi and Mplus 8.8 software programs.

RESULTS

The Cluster with Few Symptoms (46.8%) was the most common, whereas the Psychological Cluster with a very high degree of depression and anxiety accounted for 20.0%, and the Moderate symptom cluster with symptoms of 3 or more points accounted for 14.4%. Distress scores were relatively high in the Psychological Cluster and the Pain-Fatigue-Insomnia Cluster, and were lowest in the Cluster with Few Symptoms (F = 103.92, p < 0.001). HRQoL scores were highest in the Cluster with Few Symptoms and lowest in the Pain-Fatigue-Insomnia Cluster (F = 177.62, p < 0.001).

CONCLUSIONS

Approximately half of breast cancer survivors who had completed the major treatment experienced persistent high symptoms such as depression and anxiety or pain, fatigue, and insomnia.

IMPLICATIONS FOR CANCER SURVIVORS

These findings provide foundational data for developing tailored intervention strategies and programs based on symptom experiences.

The relationship of breast cancer deaths with age groups and urbanization of the population: a multi-country analysis

Aim: In this retrospective observational study, it was aimed to evaluate the relationship between breast cancer deaths and demographic properties of countries. Material and Method: The research was conducted on World Health Organization (WHO) 10th International Classification of Diseases (ICD-10) mortality list and World Bank Country Reports (WBCR). Total breast cancer-related deaths, age groups and urban population rates of 14 countries between 1996 and 2017 were evaluated. Results: Both uncontrolled and controlled correlation analysis results showed that population age distribution had a significant correlation with total breast cancer-related deaths (p0.05). Generalized Linear Model (GLM) results showed that only the country had a significant effect on total breast cancer related deaths (p0.05). Conclusion: Although reasons such as age and urbanization play an important role among breast cancer risk factors, it is found that they do not affect mortality rates. A total of 22 years of WHO data and 14 country results showed that deaths due to breast cancer are only related to the country. Therefore, countries can minimize deaths due to breast cancer by carrying out more effective struggles, early diagnosis, treatment and awareness activities.

A Machine Learning Approach to Predict Stress Hormones and Inflammatory Markers Using Illness Perception and Quality of Life in Breast Cancer Patients

Psychosocial factors have become central concepts in oncology research. However, their role in the prognosis of the disease is not yet well established. Studies on this subject report contradictory findings. We examine if illness perception and quality of life reports measured at baseline could predict the stress hormones and inflammatory markers in breast cancer survivors, one year later. We use statistics and machine learning methods to analyze our data and find the best prediction model. Patients with stage I to III breast cancer (N = 70) were assessed twice, at baseline and one year later, and completed scales assessing quality of life and illness perception. Blood and urine samples were obtained to measure stress hormones (cortisol and adrenocorticotropic hormone (ACTH) and inflammatory markers (c-reactive protein (CRP), erythrocyte sedimentation rate (ESR) and fibrinogen). Family quality of life is a strong predictor for ACTH. Women who perceive their illness as being more chronic at baseline have higher ESR and fibrinogen values one year later. The artificial intelligence (AI) data analysis yields the highest prediction score of 81.2% for the ACTH stress hormone, and 70% for the inflammatory marker ESR. A chronic timeline, illness control, health and family quality of life were important features associated with the best predictive results.

Comparative Analysis of Paper-Based and Web-Based Versions of the National Comprehensive Cancer Network-Functional Assessment of Cancer Therapy-Breast Cancer Symptom Index (NFBSI-16) Questionnaire in Breast Cancer Patients: Randomized Crossover Study

Background

Breast cancer remains the most common neoplasm diagnosed among women in China and globally. Health-related questionnaire assessments in research and clinical oncology settings have gained prominence. The National Comprehensive Cancer Network–Functional Assessment of Cancer Therapy–Breast Cancer Symptom Index (NFBSI-16) is a rapid and powerful tool to help evaluate disease- or treatment-related symptoms, both physical and emotional, in patients with breast cancer for clinical and research purposes. Prevalence of individual smartphones provides a potential web-based approach to administrating the questionnaire; however, the reliability of the NFBSI-16 in electronic format has not been assessed.

Objective

This study aimed to assess the reliability of a web-based NFBSI-16 questionnaire in breast cancer patients undergoing systematic treatment with a prospective open-label randomized crossover study design.

Methods

We recruited random patients with breast cancer under systematic treatment from the central hospital registry to complete both paper- and web-based versions of the questionnaires. Both versions of the questionnaires were self-assessed. Patients were randomly assigned to group A (paper-based first and web-based second) or group B (web-based first and paper-based second). A total of 354 patients were included in the analysis (group A: n=177, group B: n=177). Descriptive sociodemographic characteristics, reliability and agreement rates for single items, subscales, and total score were analyzed using the Wilcoxon test. The Lin concordance correlation coefficient (CCC) and Spearman and Kendall τ rank correlations were used to assess test-retest reliability.

Results

Test-retest reliability measured with CCCs was 0.94 for the total NFBSI-16 score. Significant correlations (Spearman ρ) were documented for all 4 subscales—Disease-Related Symptoms Subscale–Physical (ρ=0.93), Disease-Related Symptoms Subscale–Emotional (ρ=0.85), Treatment Side Effects Subscale (ρ=0.95), and Function and Well-Being Subscale (ρ=0.91)—and total NFBSI-16 score (ρ=0.94). Mean differences of the test and retest were all close to zero (≤0.06). The parallel test-retest reliability of subscales with the Wilcoxon test comparing individual items found GP3 (item 5) to be significantly different (P=.02). A majority of the participants in this study (255/354, 72.0%) preferred the web-based over the paper-based version.

Conclusions

The web-based version of the NFBSI-16 questionnaire is an excellent tool for monitoring individual breast cancer patients under treatment, with the majority of participants preferring it over the paper-based version.

Patient-Reported Outcomes as Independent Prognostic Factors for Survival in Oncology: Systematic Review and Meta-Analysis

OBJECTIVES

Assessment of patient-reported outcomes (PROs) in oncology is of critical importance because it provides unique information that may also predict clinical outcomes.

METHODS

We conducted a systematic review of prognostic factor studies to examine the prognostic value of PROs for survival in cancer. A systematic literature search was performed in PubMed for studies published between 2013 and 2018. We considered any study, regardless of the research design, that included at least 1 PRO domain in the final multivariable prognostic model. The protocol (EPIPHANY) was published and registered in the International Prospective Register of Systematic Reviews (CRD42018099160).

RESULTS

Eligibility criteria selected 138 studies including 158 127 patients, of which 43 studies were randomized, controlled trials. Overall, 120 (87%) studies reported at least 1 PRO to be statistically significantly prognostic for overall survival. Lung (n = 41, 29.7%) and genitourinary (n = 27, 19.6%) cancers were most commonly investigated. The prognostic value of PROs was investigated in secondary data analyses in 101 (73.2%) studies. The EORTC QLQ-C30 questionnaire was the most frequently used measure, and its physical functioning scale (range 0-100) the most frequent independent prognostic PRO, with a pooled hazard ratio estimate of 0.88 per 10-point increase (95% CI 0.84-0.92).

CONCLUSIONS

There is convincing evidence that PROs provide independent prognostic information for overall survival across cancer populations and disease stages. Further research is needed to translate current evidence-based data into prognostic tools to aid in clinical decision making.

Which Domains of Social Support Better Predict Quality of Life of Women with Breast Cancer? A Cross-Sectional Study

Objectives:

The study aimed at investigating the specific role of social support types (SSTs) on quality of life (QoL) and its domains of women with breast cancer in Iran.

Methods:

In this cross-sectional study, a number of 223 women with breast cancer visiting three cancer centers of Tehran, Iran, participated from October 2014 to May 2015. Medical Outcome Study-Social Support Scale and Functional Assessment of Cancer Therapy-Breast Cancer were used for data gathering. Backward multiple regression was utilized, adjusted by age, education, and family size.

Results:

The study indicated positive correlations between all SSTs and QoL domains, whereas only positive social interaction (PSI) showed a significant association with physical well-being. PSI showed the only predictive performance in terms of all QoL outcomes, beyond the covariates.

Conclusions:

The study revealed the PSI as the most influential support type to enhance all domains of QoL of women with breast cancer.

Consortium Building for Nurse Scientists Interested in Symptoms Research in the Era of Precision Health

PURPOSE

This article aims to provide perspectives on the establishment of a consortium for nurse scientists with similar career trajectories interested in cancer-related symptoms (CRS) research. Hereby, we describe the development of and recent outcomes from the CRS consortium, the lessons learned in establishing the consortium, and future directions to advance the science of CRS.

MODEL AND METHODS

New and innovative strategies are needed to address the complexity of CRS research. A CRS consortium was created to allow a mechanism for oncology nurse scientists with varying expertise to collaborate to advance CRS research. The National Institutes of Health (NIH) Symptom Science Model (SSM) guides the research of the CRS Consortium.

DISCUSSION AND CONCLUSIONS

A need for improved CRS assessment and management has been identified. The CRS consortium was created as a collaborative think tank to begin to address this need. Guided by the NIH SSM, CRS consortium members have worked to define symptom phenotypes, enhance understanding of the biologic mechanisms that can contribute to symptom phenotypes, and develop tailored interventions to improve symptom management. Dissemination of the CRS consortium efforts involve publications and presentations.

CLINICAL IMPLICATIONS

Nurse scientists interested in symptom science and biobehavorial research face many challenges on how to initiate and sustain independent programs of research. Through the formation of a CRS consortium, oncology nurse scientists can work together to address identified issues in symptom measurement and management.

Alerting the illusion of smoking improves quality of life in Chinese male cancer survivors

OBJECTIVE

To examine the association between smoking status and quality of life (QOL) among cancer survivors in China.

METHODS

A cross-sectional study was performed in 2725 male cancer survivors who were members of Cancer Rehabilitation Club and completed the questionnaires in 2013. Using linear regression models adjusted for confounders, we measured the association between QOL and former smokers as well as current (occasional, <10 cigarettes/day, and ≥ 10 cigarettes/day) smokers compared with never smokers.

RESULTS

Current smokers were reported to have higher scores in social, role, cognitive functioning, and had lower scores in nausea/vomiting, pain, dyspnea, and insomnia (P < 0.05). Former smokers had higher global health status and experienced less appetite loss and constipation (P < 0.05). Compared with never smokers, those former smokers and current smokers had significantly high scores on the global health status, social functioning, role functioning, and cognitive functioning (P < 0.05). And they had lower scores in some aspects of symptom scale (P < 0.05). Considering the dose of smoking, the scores were increased in functional subscales and decreased in symptom subscales with the increase of tobacco use, though few variables had statistical significance. As for smoking cessation, the proportion of lung cancer survivors who quit smoking was higher than that of other types of cancer survivors.

CONCLUSION

Our study suggested the possibility that in China, where smoking prevalence is still high, continued smoking was associated with high QOL scores. The phenomenon may be obscured by some potential reasons, including subjectivity of questionnaire, special substances of cigarettes, Chinese unique culture of tobacco use, and much more. The results reminded researchers and clinicians some underlying situations among smokers in China and prompted a strong call for the implementation of a comprehensive tobacco-control policy and specific public health educational strategies among not only lung cancer survivors but other types of cancers survivors.

Advanced Clinical Stage at Diagnosis of Breast Cancer Is Associated with Poorer Health-Related Quality of Life: A Cross-Sectional Study

Objective

To describe the clinical stage in women diagnosed with breast cancer and the association between clinical stage and Health-related quality of life (HRQoL).

Materials and Methods

This was a cross-sectional study involving women diagnosed with breast cancer. HRQoL was assessed with European Organization for Research and Treatment of Cancer 30-Item Quality of Life Questionnaire and the Quality of Life Questionnaire Breast Cancer 23. The principal exposure was clinical stage (<IIB versus ≥IIB). Simple linear regression was performed and variables with p<0.20 were selected for the multiple linear regression. The final model was composed of statistically significant variables (p<0.05).

Results

In total, 302 women were included. The majority (58.9%) had been diagnosed with advanced stage cancer (≥IIB). Those at an advanced clinical stage had poorer role functioning (p=0.029), pain (p<0.001), and symptoms in the breast (p<0.001).

Conclusion

Advanced clinical stage at diagnosis was found to be associated with worse health-related quality of life in breast cancer patients.

Health-Related Quality of Life in a Predictive Model for Mortality in Older Breast Cancer Survivors

OBJECTIVES

To develop a predictive model and risk score for 10-year mortality using health-related quality of life (HRQOL) in a cohort of older women with early-stage breast cancer.

DESIGN

Prospective cohort.

SETTING

Community.

PARTICIPANTS

U.S. women aged 65 and older diagnosed with Stage I to IIIA primary breast cancer (N=660).

MEASUREMENTS

We used medical variables (age, comorbidity), HRQOL measures (10-item Physical Function Index and 5-item Mental Health Index from the Medical Outcomes Study (MOS) 36-item Short-Form Survey; 8-item Modified MOS Social Support Survey), and breast cancer variables (stage, surgery, chemotherapy, endocrine therapy) to develop a 10-year mortality risk score using penalized logistic regression models. We assessed model discriminative performance using the area under the receiver operating characteristic curve (AUC), calibration performance using the Hosmer-Lemeshow test, and overall model performance using Nagelkerke R² (NR).

RESULTS

Compared to a model including only age, comorbidity, and cancer stage and treatment variables, adding HRQOL variables improved discrimination (AUC 0.742 from 0.715) and overall performance (NR 0.221 from 0.190) with good calibration (p=0.96 from HL test).

CONCLUSION

In a cohort of older women with early-stage breast cancer, HRQOL measures predict 10-year mortality independently of traditional breast cancer prognostic variables. These findings suggest that interventions aimed at improving physical function, mental health, and social support might improve both HRQOL and survival.