The effectiveness of radiotherapy in preventing disease recurrence after breast cancer surgery

Breast Cancer: The Psychological Impact of Diagnosis, Treatment, and Remission

Breast cancer affects millions of people worldwide. With physical manifestations being the predominant feature of management, healthcare professionals can overlook the psychological toll that the disease can have on the patients and their support network. This literature review examines the vast multi-factorial approach that must be taken when managing breast cancer patients from initial screening to diagnostic investigations, treatment, and remission. A literature search in PubMed from January 2000 to April 2024 was executed. Data sets in the studies filtered during the literature search were collected and analysed, looking not only at the data itself but also the entirety of the study. This included its limitations and possible biases. From screening, the possibility of cancer as a diagnosis can trigger mixed emotions including fear, depression, and anxiety. During diagnostic, patients may find themselves subject to fear of negative body image evaluation and fear of judgment. Medical professionals must be prepared to support the patient when they experience these feelings. The treatment stages can be the most difficult for the patient as side effects and complications of treatment can impact their lives in numerous ways, making management challenging. These include pain, sexual dysfunction, and alopecia. Overall, the analysis of the selected literature showed areas in clinical practice that can be optimised when providing psychological support for a patient's cancer diagnosis, management, and treatment. Being able to counsel prior to the presentation of these, and ideally prevent unnecessary cases of these can substantially increase a patient's quality of life during treatment. This literature review hopes to identify and promote awareness and further implementation of support systems by healthcare professionals.

Particle radiotherapy for breast cancer

Breast cancer is the most common malignant tumor in female patients. Along with surgery, radiotherapy is one of the most commonly prescribed treatments for breast cancer. Over the past few decades, breast cancer radiotherapy technology has significantly improved. Nevertheless, related posttherapy complications should not be overlooked. Common complications include dose-related coronary toxicity, radiation pneumonia, and the risk of second primary cancer of the contralateral breast. Particle radiotherapy with protons or carbon ions is widely attracting interest as a potential competitor to conventional photon radiotherapy because of its superior physical and biological characteristics. This article summarizes the results of clinical research on proton and carbon-ion radiotherapy for treating breast cancer.

The effect of delayed treatment in breast cancer patients: How much is too late? An experience of a single-center study effect of surgery delay in survival

BACKGROUND AND OBJECTIVES

Proper treatment is critical for control and curative intent in breast cancer. Delays in receiving treatment can influence patients' prognoses.

METHODS

Retrospective, observational, single-center study based on data from medical records of 747 patients with non-metastatic invasive ductal breast carcinoma (I-III) in the initial analysis, comprising 554 patients undergoing adjuvant and 193 neoadjuvant treatment. Kaplan-Meier, Cox regression and time-dependent Cox regression were performed to obtain the predictive value of time to surgery and time to first treatment. Immortal time bias was managed and only 721 patients were included in the multivariable analysis.

RESULTS

During a median observation of 64.4 months, there were 140 death events and 177 disease progression events. Time to surgery (TTS) and time from completion of neoadjuvant chemotherapy to surgery (TNS) showed a significant impact on overall survival, associated with a 6% increased chance of death [HR: 1.06 (1.03-1.09), p < 0.001] and 4% [HR: 1.04 (1.00-1.09), p = 0.048] with a one-month increment, respectively. By multivariable analysis, continuous TTS had a different weight as a prognostic factor in stage IIIA/IIIB [adjusted HR: 1.249 (1.072-1.454), p = 0.004] compared to stage I/II [adjusted HR: 1.093 (1.048-1.141), p < 0.0005]. Likewise, TNS was significant after adjusting for other factors [adjusted HR: 1.092 (1.038-1.148), p = 0.001].

CONCLUSION

Delay in receiving surgery with curative intent impairs the survival of patients with breast cancer.

Epidermal growth factor receptor (EGFR) expression in the serum of patients with triple-negative breast carcinoma: prognostic value of this biomarker

Background

Epidermal growth factor receptor (EGFR) overexpression has been considered a poor prognostic factor in breast cancer.

Methodology

A prospective study of 206 women with breast cancer analysed by stages (I, II, III and IV) and by immunohistochemical subtype (Luminal A, Luminal B, HER2+ and triple-negative (TN)); 89 healthy controls with normal recent mammography were included. The EGFR measured in the serum (sEGFR) was detected by the Enzyme-Linked Immunosorbent Assay (ELISA) method (R&D Systems kit DY231) collected by blood before any treatment in patients. Kaplan-Meier method and Cox regression were carried out to obtain the prognostic value, considering significance if p < 0.05.

Results

With a median follow-up of 36.6 months, 47 deaths occurred. Multivariable Cox regression showed difference of overall survival (OS) associated with sEGFR levels (sEGFR ≤ or > 47.8 ng/mL) in patients with TN cancers, but not of Luminal A, Luminal B or HER2+ subtypes; adjusted by stage, the death risk increased by approximately 415% [hazard ratio (HR): 5.149 (1.900-13.955), p = 0.001] for patients with sEGFR > 47.8 ng/mL compared to patients with a lower sEGFR value. There was no significant correlation of sEGFR with staging, histological tumour grade (G1/G2/G3), Ki67 (< or ≥14%) or body mass index.

Conclusions

Increased sEGFR expression in patients with TN tumours is a significant predictor of lower OS and its quantification is inexpensive and straightforward.