Radiotherapy For Breast Cancer Research Articles

Research progress of cardiotoxicity caused by radiotherapy in breast cancer

Research progress of cardiotoxicity caused by radiotherapy in breast cancer

PEARL: A Phase Ib/II Biomarker Study of Adding Radiation Therapy to Pembrolizumab Before Neoadjuvant Chemotherapy in Human Epidermal Growth Factor Receptor 2–Negative Breast Cancer

PURPOSE To assess safety and immune biomarkers after preoperative radiation therapy (RT) and anti-PD1 therapy in breast cancer. MATERIALS AND METHODS A phase I/IIb trial of pembrolizumab with RT was conducted in patients with triple-negative breast cancer (TNBC) and hormone receptor–positive/human epidermal growth factor receptor 2–negative (HR+/HER2–) breast cancer. All received pembrolizumab followed by a second cycle + RT (anti-PD1/RT) of 24 Gy/three daily fractions delivered to the breast tumor and then neoadjuvant chemotherapy (NAC). Blood and tumor biopsies were obtained at baseline, after anti-PD1, and after anti–PD-RT. Coprimary end points were safety and change in tumor-infiltrating lymphocytes (TILs). Secondary end points were pathologic complete response (pCR), residual cancer burden (RCB) rates, and event-free survival (EFS). RESULTS Sixty-six patients with stage I-III breast cancer (54 TNBC, 12 HR+/HER2–) were enrolled. The median follow-up was 32 months. Safety end point was met. Incidence of grade ≥3 toxicities was 41%. The pCR rate was 59.2%, 33.3%, and 54.5% for the TNBC, HR+/HER2–, and entire cohort, respectively. A total of 77.8% of TNBC and 41.6% of HR+/HER2– had a near pCR (RCB 0-1). The 3-year EFS was 80%. In the entire cohort, PD-L1 expression increased after anti-PD1 (median Combined Positive Score [CPS], 7.49-23.20; 95% CI, –41.88 to –6.30; P = .044) and anti-PD1/RT (median CPS, 7.49-23.41; 95% CI, –41.88 to –6.30; P = .009), compared with baseline. In TNBC, adding RT to anti-PD1 significantly decreased TILs (28.9%-17.1%; 95% CI, 2.46 to 21.09; P = .014). Baseline TILs correlated with PD-L1 expression and TNF-a. CONCLUSION Preoperative RT with pembrolizumab is safe and results in high pCR rates and 3-year EFS, despite the lack of pembrolizumab during NAC. PD-L1 and TILs may be predictive biomarkers for preoperative anti-PD1/RT response. Reduction in TILs after adding RT to anti-PD1 highlights the importance of treatment sequencing.

An in vitro assessment of ionizing radiation impact on the efficacy of radiotherapy for breast cancer

Abstract Objectives Ionizing radiation is still one of the most effective treatment options for various cancers. It is possible to reduce the side effects of this effective treatment method and increase the chance of success by elucidating the responses it creates at the molecular level in the cell. This study aims to investigate of the molecular effects of therapeutic ionizing radiation on breast cancer, which is the most prevalent cancer type. Methods MDA-MB-231 and MCF7 cell lines were irradiated with 4 and 8 Gy ionizing radiation and monitored for up to 7 days. RNA was collected at 48 and 96 h, when cellular molecular mechanisms became most evident, and quantitative expression levels of microRNAs (miR-208a, miR-124, miR-145), for which cancer-radiation associations have been determined from existing literature and databases, were evaluated. Results Exposure to ionizing radiation resulted in a dose-dependent reduction in cell viability in both MCF7 and MDA-MB-231 breast cancer cell lines. Furthermore, microRNA expression analysis revealed notable changes at all levels. The research demonstrates that miR-208a, miR-145, and miR-124 are crucial in the biological response to ionizing radiation. Conclusions Therapeutic ionizing radiation profoundly affects cell viability and microRNA expression in breast cancer cell lines, showing dose and time-dependent effects. The observed microRNA expression patterns suggest potential biomarkers for radiation response and therapeutic targets to improve radiotherapy efficacy. Further in vivo validation and exploration of these microRNAs’ roles in modulating cellular response to ionizing radiation are needed.

Is intensive training with atime interval between instruction and planning CT necessary for deep inspiration breath-hold radiotherapy in breast cancer?

Breathing instruction and exercises and atime gap between training and planning CT scans (pCT) is recommended as part of deep inspiration breath-hold (DIBH) assisted radiotherapy (RT). However, this is associated with additional time expenditure. In two of the authors' treatment centers (TC), patient training took place before the planning CT of DIBH-assisted therapy. In TC1, afurther appointment was made with aminimum interval of 2days to perform the planning CT. At TC2, the planning CT was performed immediately after the first patient instruction. Aretrospective evaluation of the clinical parameters of the therapy was carried out to investigate the relevance of the time gap between DIBH exercises and pCT. Atotal of 72patients were included, 35 of whom were treated in TC1 and37 in TC2. In TC1, an average interval of ~4 days was observed between patient training and planning CT, while in TC2, training and CT were performed immediately after each other. No significant differences in radiation dose exposure of the lung on the treated side, the whole lung, or the heart were found between the two centers. Furthermore, there was no significant difference in the application of the daily RT fraction. The requirement for daily positioning checks was also the same at both treatment centers. This study does not show any advantages for atime gap between instruction/training and pCT. Skipping the time break does not deteriorate any clinically relevant endpoints.

Comparison of liposomal gel with and without chamomile to prevent radiation dermatitis in breast cancer patients: arandomized controlled trial.

To compare aliposomal gel with and without chamomile extract for the prevention of radiation dermatitis in breast cancer patients undergoing radiotherapy. This study was adouble-blind randomized clinical trial. Atotal of 100 participants undergoing radiotherapy for breast cancer were recruited. The primary outcome was the occurrence of dry desquamation. Cumulative dose of ionizing radiation at the first occurrence of dry desquamation, occurrence of erythema, moist desquamation, global radiation dermatitis, and any signs and symptoms self-reported by participants were secondary outcomes. Dry desquamation occurred in 6.0% of the participants using chamomile liposomal gel and 12.2% of those using liposomal gel (p = 0.32). The mean cumulative dose of ionizing radiation for the first occurrence of dry desquamation was 45.1 Gy in the chamomile liposomal gel group and 43.7 Gy in the liposomal gel group. There were no differences between the two gels in the occurrence of erythema, dry desquamation, moist desquamation, and radiation dermatitis compared to liposomal gel. There was alower proportion of reported symptoms in the chamomile liposomal gel group compared to liposomal gel group in the first 3weeks of radiation, especially for itching (p = 0.05). No statistically significant differences between the two gels were found in radiation dermatitis occurrence and dose at first occurrence. Comparing to the literature, it seems that both interventions may be effective, which might explain the lack of statistical difference between the groups.

Randomised controlled trials on radiation dose fractionation in breast cancer: systematic review and meta-analysis with emphasis on side effects and cosmesis

ObjectiveTo provide a comprehensive assessment of various fractionation schemes in radiation therapy for breast cancer, with a focus on side effects, cosmesis, quality of life, risks of recurrence, and survival...

Exploring the impact of field shape on predicted dose distribution in breast cancer patients using deep learning in radiation therapy

BackgroundGeometrical information such as field shape is essential for dose calculation in radiation therapy. However, new methods of dose prediction based on deep learning only use CT images and contouring of patients. The aim of this study is to develop a deep learning method for three-dimensional dose prediction for breast cancer radiotherapy using field shape as well as CT and contouring images of patients. MethodsA total of 150 breast cancer patients' data treated with 3D conformal radiation therapy (CRT) technique were used to train and test 3D-U-Res-F-Net model. The model inputs were CT images, patients' contouring and field shape. The network output was the corresponding the patients’ dose distribution. Then, the dosimetric parameters extracted from the dose volume histograms related to the planned and predicted dose distributions were compared and were statistically analysed with the paired-samples t-test. These parameters include Dmean and Dmax for planning target volume and organs at risk, D95%, D50%, V47.5Gy for PTV, V30Gy and V25Gy for heart and V20Gy for left lung. The gamma index with 3%/3 mm criteria was calculated for PTV and OARs. ResultsThe average absolute difference of the Dmean relative to the prescribed dose for the PTV, heart, left lung, right lung and spinal cord were 1.37 ± 0.4%, 2.02 ± 2%, 2.12 ± 1%, 0.37 ± 0.3% and 0.41 ± 0.3%, respectively. The average absolute difference of the Dmax relative to the prescribed dose for the PTV and OARs varied from 0.23 ± 0.2% to 2.04 ± 2%. The 3D gamma pass rate with 3mm/3% criteria for planning target volume, heart, left lung, right lung, spinal cord and body were 89 ± 3%, 91 ± 5%, 93 ± 5%, 99 ± 3%, 99 ± 1% and 96 ± 2% respectively. ConclusionsThe results of the proposed model demonstrate that there is no significant difference between the predicted and planned dose distributions. The deep learning model can directly predict the 3D dose distribution faster than treatment planning systems. Further studies with more patients and on other cancer sites are essential to fully validate the proposed method.

41P Cancer therapy-related cardiac dysfunction (CTRCD) after radiation therapy for breast cancer: Results of the French BACCARAT study

41P Cancer therapy-related cardiac dysfunction (CTRCD) after radiation therapy for breast cancer: Results of the French BACCARAT study

Coping with modesty during radiotherapy for breast cancer: a multicentric study.

Breast cancer is the most frequently diagnosed tumour, representing nearly 30% of all new cases in women. Radiotherapy (RT) plays a crucial role in the management of breast cancer. The objective of this study is to assess modesty in patients undergoing RT for breast cancer and take their suggestions and ideas into consideration to enhance the quality of treatment in this regard. The study enrolled 555 breast cancer patients undergoing adjuvant RT in three Italian centres. Patients completed a self-test questionnaire assessing their comfort level concerning modesty during therapy and their relationship with strangers and healthcare professionals. The impact of religious views and potential changes in sexuality were also examined. Results showed that modesty was a common concern across the overall cohort of patients, with discomfort in being undressed during RT correlating with discomfort experienced in other daily life situations. Most patients felt more at ease with same sex healthcare workers. Age was also a major factor with younger patients generally feeling more comfortable with healthcare workers of the same age group. Interestingly, the surgical technique used (mastectomy vs. quadrantectomy) did not significantly influence modesty perceptions. Patients provided valuable suggestions to improve privacy and modesty during RT. This study demonstrates that modesty is an important issue for women undergoing RT, which can be influenced by personal characteristics and hospital-related factors. A reflection about the need to address modesty concerns and to incorporate dedicated interventions for protecting patients' physical and emotional well-being is warranted. Initiatives to improve communication, involvement, and body image support should also be integrated into the care path of patients to better their overall therapeutic experience. This study paves the way for broader research and interventions in daily cancer care.

2879: Continuous Positive Airway Pressure in Radiotherapy in Breast Cancer: A Prospective Trial

2879: Continuous Positive Airway Pressure in Radiotherapy in Breast Cancer: A Prospective Trial

799: Real world data of cardiotoxicity following breast cancer irradiation in low risk Asian population

799: Real world data of cardiotoxicity following breast cancer irradiation in low risk Asian population

3216: Can we predict response after stereotactic body radiotherapy in oligometastatic breast cancer?

3216: Can we predict response after stereotactic body radiotherapy in oligometastatic breast cancer?

817: Surface-guided setup and intrafraction motion in free-breathing breast cancer radiation therapy

817: Surface-guided setup and intrafraction motion in free-breathing breast cancer radiation therapy

1343: Exploring the safety and efficacy of proton radiotherapy for breast cancer in pregnant women

1343: Exploring the safety and efficacy of proton radiotherapy for breast cancer in pregnant women

2522: Optimal pressure of CPAP for reduction mean heart dose in left-sided breast cancer radiotherapy

2522: Optimal pressure of CPAP for reduction mean heart dose in left-sided breast cancer radiotherapy

3443: Omission of breast cancer radiotherapy in selected patients

3443: Omission of breast cancer radiotherapy in selected patients

2856: Could surface imaging in breast cancer radiotherapy detect early lymphoedema?: The Calibrate Study.

2856: Could surface imaging in breast cancer radiotherapy detect early lymphoedema?: The Calibrate Study.

Intraoperative radiation therapy for early-stage breast cancer.

Intraoperative radiotherapy (IORT) offers more convenience compared to external beam radiotherapy (EBRT) following breast-conserving surgery for early-stage breast cancer. This study describes the implementation of IORT at a metropolitan academic cancer center. Demographics, tumor characteristics, margin status, adjunct EBRT, and cosmetic results were retrospectively analyzed in patients undergoing BCS with IORT. IORT consists of 20 gray delivered to the partial mastectomy cavity. From 2015 to 2020, 171 patients (65.5% African American) were included. Histologically, 104 (60.8%) patients had invasive ductal carcinoma (IDC), while 67 (39%) patients had DCIS only. Seventeen (15.9%) patients with IDC and 12 (8.6%) patients with DCIS had positive margins. There were 15 ipsilateral breast recurrences (8.8%) and three patients (20%) developed systemic disease. Twenty-five patients (14.6%) underwent adjuvant EBRT. The local recurrence-free survival at 60 months from date of IORT was 89.4% (95% CI 82.7%-93.6%). For overall survival (OS), 168 (98.2%) patients were alive at a median follow-up of 51.4 months, and three total deaths were recorded. IORT is a highly desirable and convenient alternative to EBRT for early-stage breast cancer especially for patients with poor compliance. IORT has an acceptable ipsilateral recurrence while not precluding adjunct EBRT based upon the final pathologic report.

CT-based radiomics for predicting breast cancer radiotherapy side effects

Skin inflammation with the potential sequel of moist epitheliolysis and edema constitute the most frequent breast radiotherapy (RT) acute side effects. The aim of this study was to compare the predictive value of tissue-derived radiomics features to the total breast volume (TBV) for the moist cells epitheliolysis as a surrogate for skin inflammation, and edema. Radiomics features were extracted from computed tomography (CT) scans of 252 breast cancer patients from two volumes of interest: TBV and glandular tissue (GT). Machine learning classifiers were trained on radiomics and clinical features, which were evaluated for both side effects. The best radiomics model was a least absolute shrinkage and selection operator (LASSO) classifier, using TBV features, predicting moist cells epitheliolysis, achieving an area under the receiver operating characteristic (AUROC) of 0.74. This was comparable to TBV breast volume (AUROC of 0.75). Combined models of radiomics and clinical features did not improve performance. Exclusion of volume-correlated features slightly reduced the predictive performance (AUROC 0.71). We could demonstrate the general propensity of planning CT-based radiomics models to predict breast RT-dependent side effects. Mammary tissue was more predictive than glandular tissue. The radiomics features performance was influenced by their high correlation to TBV volume.

Identification of variables and development of a prediction model for DIBH eligibility in left-sided breast cancer radiotherapy: a prospective cohort study with temporal validation

ObjectiveTo identify variables associated with a patients’ ability to reproducibly hold their breath for deep-inspiration breath-hold (DIBH) radiotherapy (RT) and to develop a predictive model for DIBH eligibility.MethodsThis prospective, single-institution, IRB-approved observational study included women with left-sided breast cancer treated between January 2023 and March 2024. Patients underwent multiple breath-hold sessions over 2–3 consecutive days. DIBH waveform metrics and clinical factors were recorded and analysed. Logistic mixed modelling was used to predict DIBH eligibility, and a temporal validation cohort was used to assess model performance.ResultsIn total, 253 patients were included, with 206 in the model development cohort and 47 in the temporal validation cohort. The final logistic mixed model identified increasing average breath-hold duration (OR, 95% CI: 0.308, 0.104–0.910. p = 0.033) and lower amplitude (OR, 95% CI: 0.737, 0.641–0.848. p < 0.001) as significant predictors of DIBH eligibility. Increasing age was associated with higher odds of being ineligible for DIBH (OR, 95% CI: 1.040, 1.001–1.081. p = 0.044). The model demonstrated good discriminative performance in the validation cohort with an AUC of 80.9% (95% CI: 73.0-88.8).ConclusionThe identification of variables associated with DIBH eligibility and development of a predictive model has the potential to serve as a decision-support tool. Further external validation is required before its integration into routine clinical practice.