Radiotherapy refusal in breast cancer with breast-conserving surgery

Perceptions, educational expectations and knowledge gaps of patients with non-metastatic breast cancer regarding radiotherapy: Integrative review

Objective

This integrative review investigates perceptions, educational expectations, and knowledge gaps of patients with breast cancer (BC) regarding radiotherapy (RT).

Methods

The included studies were analysed using a thematic analysis approach. Each segment of data was coded with open coding. The codes were gathered into subthemes as they emerged and into overarching themes, after which the data was analysed again.

Results

22 studies were included: 11 qualitative, 10 cross-sectional, and 1 case study. Our findings indicate that breast cancer patients perceptions of radiation therapy (RT) are influenced by their understanding of RT, its side effects, the treatment burden, emotional state or feelings, effectiveness if RT, prognosis, and viewing RT as the end-of-care phase. They expect education on the treatment pathway, psychosocial support, personalised aspects of RT, planning, delivery, follow-up, and side effects. Additionally, women undergoing RT have knowledge gaps related to preparedness and support, unforeseen risks and side effects, as well as daily practical issues.

Conclusion

Tailored, culturally sensitive education is essential to bridge gaps in understanding, manage anxiety, and build trust. It requires individualized communication strategies and psychosocial support. By integrating personalized information and leveraging technological solutions, healthcare providers can empower patients, improve adherence, and enhance outcomes, particularly in resource-limited settings.

Disparities in consent to adjuvant radiotherapy in primary glioblastoma: a population-based study

BACKGROUND

Despite adjuvant external beam radiation therapy (EBRT) has long been the standard treatment for glioblastoma (GBM), a significant subset of patients chooses to refuse it. We aimed to investigate the factors influencing EBRT refusal in GBM.

RESEARCH DESIGN AND METHODS

Patients with GBM were identified from the Surveillance, Epidemiology, and End Results (SEER) database. Both univariable and multivariable logistic regression analyses were employed to evaluate the adjusted odds ratios (aOR) for the refusal of EBRT in relation to various clinical and demographic characteristics.

RESULTS

Among the 29,994 patients analyzed, 675 (2.3%) opted to refuse adjuvant EBRT. Patients aged ≥ 55 years (55-64: aOR 1.63, 95% CI 1.04-2.61, p = 0.03; 65-74: aOR 1.80, 95% CI 1.17-2.87, p = 0.009; 75+: aOR 2.01, 95% CI 1.28-3.24, p = 0.002), being single (aOR 1.68, 95% CI 1.19-2.35, p = 0.002), with a household income of $55,000 to $64,999 (aOR 1.94, 95% CI 1.24-3.07, p = 0.004), and not undergoing chemotherapy (aOR 114, 95% CI 80.2-170.2, p < 0.001) had significantly higher odds of refusing adjuvant EBRT.

CONCLUSIONS

This study underscores the necessity for targeted communication strategies by physicians regarding the benefits of adjuvant EBRT.

Local Control of Advanced Breast Cancer-Debate in Multidisciplinary Tumor Board

Background/Objectives: In Romania, breast cancer is the second most common cancer, the third leading cause of cancer death, and the most prevalent cancer overall. De novo advanced-stage breast cancer often presents in clinical practice, and treatment decisions are best made in a multidisciplinary tumor board (MTD) involving surgeons, radiotherapists, and medical oncologists. Significant advances in systemic therapies, particularly in progression-free survival (PFS) and overall survival (OS), have surpassed traditional palliative mastectomy and radiotherapy for local control. Therefore, the purpose of this study is to emphasize the importance of the initial choice of treatment for patient prognosis. Methods: We expose two cases of patients with de novo severe, advanced-stage, hormone receptor (HR)-positive, human epidermal growth factor receptor 2 (HER2)-negative breast cancer and their management and outcome using cyclin-dependent kinase (CDK) 4/6 inhibitor and radiotherapy. An extensive review of the literature from the past five years was also conducted. Results: The role of palliative mastectomy is diminishing, as many patients are opting for novel therapies, including cyclin-dependent kinase (CDK) 4/6 inhibitors, which may improve quality of life. Conclusions: First-line therapy for locally advanced breast cancer has suffered changes due to the implementation of systemic targeted therapy. However, drug resistance-either de novo or acquired-remains a critical consideration. MTD discussions and informed patient decisions are essential to achieving a personalized, evidence-based treatment outcome.

Mortality Prediction Modeling for Patients with Breast Cancer Based on Explainable Machine Learning

Background/Objectives: Breast cancer is the most common cancer in women worldwide, requiring strategic efforts to reduce its mortality. This study aimed to develop a predictive classification model for breast cancer mortality using real-world data, including various clinical features. Methods: A total of 11,286 patients with breast cancer from the National Cancer Center were included in this study. The mortality rate of the total sample was approximately 6.2%. Propensity score matching was used to reduce bias. Several machine learning models, including extreme gradient boosting, were applied to 31 clinical features. To enhance model interpretability, we used the SHapley Additive exPlanations method. ML analyses were also performed on the samples, excluding patients who developed other cancers after breast cancer. Results: Among the ML models, the XGB model exhibited the highest discriminatory power, with an area under the curve of 0.8722 and a specificity of 0.9472. Key predictors of the mortality classification model included occurrence in other organs, age at diagnosis, N stage, T stage, curative radiation treatment, and Ki-67(%). Even after excluding patients who developed other cancers after breast cancer, the XGB model remained the best-performing, with an AUC of 0.8518 and a specificity of 0.9766. Additionally, the top predictors from SHAP were similar to the results for the overall sample. Conclusions: Our models provided excellent predictions of breast cancer mortality using real-world data from South Korea. Explainable artificial intelligence, such as SHAP, validated the clinical applicability and interpretability of these models.

Radiotherapy is recommended for hormone receptor-negative older breast cancer patients after breast conserving surgery

In this study, the necessity of radiotherapy (RT) for hormone receptor-negative older breast cancer patients after breast-conserving surgery (BCS) was investigated. The data of hormone receptor-negative invasive breast cancer patients who underwent BCS were extracted from the Surveillance, Epidemiology, and End Results (SEER) database from 2010 to 2015. All patients were separated into two groups, namely, the RT group and the no radiotherapy (No RT) group. The 3- and 5-year overall survival (OS) and cancer-specific survival (CSS) rates were compared between the No RT and RT groups after propensity score matching (PSM). The nomograms for predicting the survival of patients were constructed from variables identified by univariate or multivariate Cox regression analysis. A total of 2504 patients were enrolled in the training cohort, and 630 patients were included in the validation cohort. After PSM, 738 patients were enrolled in the No RT group and RT group. We noted that RT can improve survival in hormone receptor-negative older breast cancer patients who undergo BCS. Based on the results of multivariate Cox analysis, age, race, tumour grade, receipt of RT and chemotherapy, pathological T stage, N status, M status and HER2 status were linked to OS and CSS for these patients, and nomograms for predicting OS and CSS were constructed and validated. Moreover, RT improved OS and CSS in hormone receptor-negative older breast cancer patients who underwent BCS. In addition, the proposed nomograms more accurately predicted OS and CSS for hormone receptor-negative older breast cancer patients after BCS.

Refusal of Adjuvant Therapies and Its Impact on Local Control and Survival in Patients with Bone and Soft Tissue Sarcomas of the Extremities and Trunk

BACKGROUND

In soft tissue or bone sarcomas, multimodal therapeutic concepts represent the standard of care. Some patients reject the therapeutic recommendations due to several reasons. The aim of this study was to assess the impact of that rejection on both prognosis and local recurrence.

METHODS

Between 2012 and 2019, a total of 828 sarcoma patients were surgically treated. Chemotherapy was scheduled as a neoadjuvant, and adjuvant multi-agent therapy was performed following recommendations from an interdisciplinary tumor board. Radiotherapy, if deemed appropriate, was administered either in a neoadjuvant or an adjuvant manner. The recommended type of therapy, patient compliance, and the reasons for refusal were documented. Follow-ups included local recurrences, diagnosis of metastatic disease, and patient mortality.

RESULTS

Radiotherapy was recommended in 407 (49%) patients. A total of 40 (10%) individuals did not receive radiation. A reduction in overall survival and local recurrence-free survival was evident in those patients who declined radiotherapy. Chemotherapy was advised for 334 (40%) patients, 250 (75%) of whom did receive all recommended cycles. A total of 25 (7%) individuals did receive a partial course while 59 (18%) did not receive any recommended chemotherapy. Overall survival and local recurrence-free survival were reduced in patients refusing chemotherapy. Overall survival was worst for the group of patients who received no chemotherapy due to medical reasons. Refusing chemotherapy for non-medical reasons was seen in 8.8% of patients, and refusal of radiotherapy for non-medical reasons was seen in 4.7% of patients.

CONCLUSIONS

Divergence from the advised treatment modalities significantly impacted overall survival and local recurrence-free survival across both treatment modalities. There is an imperative need for enhanced physician-patient communication. Reducing treatment times, as achieved with hypofractionated radiotherapy and with therapy in a high-volume sarcoma center, might also have a positive effect on complying with the treatment recommendations.