Introduction: The use of telemedicine in oncology practice is rapidly expanding and is considered safe and cost effective. However, the implications of telemedicine on patient-physician interaction, patient satisfaction, and absence of the personal touch have not been studied to date. Following the spread of COVID-19, telemedicine services were rapidly incorporated at the Oncology Division of Tel Aviv Medical Center. We aimed to evaluate patients' perspectives and preferences regarding telemedicine and to assess whether this virtual communication platform affects the patient-physician relationship. Methods: Between March 2020 and May 2020, adult cancer patients who conducted at least one successful telemedicine meeting were interviewed by trained medical personnel. The interview was based on validated patient satisfaction questionnaires and focused on patient-physician interaction in relation to the last in-patient visit. Results: Of 236 patients, 172 (74%) patients agreed to participate. The study population comprised mainly patients with gastrointestinal malignancies (n = 79, 46%) with a median age of 63 years (range 21–88). The majority of patients were male (n = 93, 54%). Eighty-nine (51.7%) patients were receiving active oncologic treatment, and 58 (33.7%) were under routine surveillance following completion of active therapy. Almost all had a sense of secured privacy (n = 171, 96%), the majority of patients affirmed that their concerns were met (n = 166, 93%) and perceived that eye contact with the treating physician was perceived (n = 156, 87%). Only a minority felt that the absence of physical clinic visits harmed their treatment (n = 36, 20%). Most patients (n = 146, 84.9%) wished to continue telemedicine services. A multivariate analysis revealed that higher satisfaction and visits for routine surveillance were both predictors of willingness to continue future telemedicine meetings over physical encounters (odds ratio [OR] = 2.41, p = .01; OR = 3.34, p = .03, respectively). Conclusion: Telemedicine is perceived as safe and effective, and patients did not feel that it compromised medical care or the patient-physician relationship. Integration of telemedicine is ideal for patients under surveillance after completion of active oncologic treatment. Physician communication skills workshops are warranted with implementing this platform. Implications for Practice: During the COVID-19 pandemic, telemedicine was rapidly implemented worldwide to facilitate continuity of quality care and treatment. Despite many potential setbacks, telemedicine has become a useful and safe tool for oncology practitioners to care for their patients. The use of telemedicine regarding patients' perspectives, emotions, and patient-physician communication in daily oncology practice has not been studied to date. This study demonstrated telemedicine is perceived as safe and effective and does not compromise medical care or the patient-physician relationship. Its use is ideal for surveillance after completion of active oncologic treatment. Physician communication skills workshops are warranted with implementing this platform.

Breast cancer is the most common cancer among women. Up to 75% of breast cancers express the estrogen receptor (ER)α and/or the progesterone receptor (PR). Patients with hormone receptor-positive metastatic breast cancer are typically treated with endocrine therapy. Yet, not all patients with metastatic breast cancer respond to endocrine treatments and are considered to have primary (de novo) resistance. Furthermore, all patients who initially respond to endocrine treatment will eventually develop acquired resistance. Several mechanisms have been linked to the development of endocrine resistance, including reduced expression of ERα, altered regulation of the ER pathway, and activation of various growth factor signaling pathways, among them the phosphatidylinositol 3-kinase (PI3K)/Akt/mammalian target of rapamycin (mTOR) signaling pathway. This pathway is involved in critical processes including cell survival, proliferation, and angiogenesis, and plays a central role in breast cancer development. Recent laboratory and clinical data implicate this pathway as mediating endocrine resistance, and agents directed against critical components of this pathway are either already approved for clinical use in breast cancer patients or are currently being tested in clinical trials. In this review, we describe the interaction between the PI3K/Akt/mTOR pathway and the ER cascade, its role in mediating endocrine resistance, and the clinical implications of this interaction.

Brain metastases are common in patients with advanced melanoma and constitute a major cause of morbidity and mortality. Between 40% and 60% of melanomas harbor BRAF mutations. Selective BRAF inhibitor therapy has yielded improvement in clinical outcome; however, genetic discordance between the primary lesion and the metastatic tumor has been shown to occur. Currently, the only way to characterize the genetic landscape of a brain metastasis is by tissue sampling, which carries risks and potential complications. The aim of this study was to investigate the use of radiomics analysis for non-invasive identification of BRAF mutation in patients with melanoma brain metastases, based on conventional magnetic resonance imaging (MRI) data. We applied a machine-learning method, based on MRI radiomics features for noninvasive characterization of the BRAF status of brain metastases from melanoma (BMM) and applied it to BMM patients from two tertiary neuro-oncological centers. All patients underwent surgical resection for BMM, and their BRAF mutation status was determined as part of their oncological work-up. Their routine preoperative MRI study was used for radiomics-based analysis in which 195 features were extracted and classified according to their BRAF status via a support vector machine. The BRAF status of 53 study patients, with 54 brain metastases (25 positive, 29 negative for BRAF mutation) was predicted with mean accuracy = 0.79 ± 0.13, mean precision = 0.77 ± 0.14, mean sensitivity = 0.72 ± 0.20, mean specificity = 0.83 ± 0.11 and with a 0.78 area under the receiver operating characteristic curve for positive BRAF mutation prediction. Radiomics-based noninvasive genetic characterization is feasible and should be further verified using large prospective cohorts.

Hereditary breast cancer syndromes affect a small (10– 15% of cases) but significant group of patients. BRCA1 and BRCA2 are the most familiar and well-studied genes associated with inherited breast cancer. However, mutations in the high-penetrance genes, TP53, PTEN, CDH1, MSH1, MLH1, MSH6, PMS2, PALB2, and STK11, and in the moderate-penetrance genes, CHEK2, ATM, and BRIP1, also correlate with high lifetime risks of breast cancer and other malignancies as well. Advances in breast cancer genetics have led to an improved perception of diagnosis and screening strategies. The specific considerations and challenges involved in treating this unique population have become a fertile ground for research. Indeed, these genes and downstream molecular pathways have now become potential therapeutic targets in breast cancer patients, including those with BRCA1 or BRCA2 mutations. This review describes the variety of hereditary breast cancer genes, from their molecular origins to the prognosis and multidisciplinary clinical decision-making processes. Key publications and other reported recent clinical trials and guidelines are provided.

Objective Our study aimed to explore the effect of body mass index (BMI) change on cancer recurrence risk during the routine surveillance of endometrial cancer patients. Methods Data on patients with endometrial adenocarcinoma that had a staging procedure and continued follow-up was retrospectively collected. We compared patients’ BMI at time of surgery and during the last clinic follow-up. Univariate and multivariate analyses were performed to examine the effect of predictors on BMI change and the risk of recurrence. Results A total of 211 patients were included in the final analysis. The majority of patients had stage I disease (n=176, 89%) and endometrioid histology (n=178, 86%). Median follow-up time was 53.4 (standard deviation (SD) 40) months. The mean BMI was 30.4 kg/m2 (interquartile range (IQR) 25–34) at surgery compared with 30.9 kg/m2 (IQR 26–36) at last follow-up (p<0.001). The BMI increase was most pronounced in patients with endometroid histology that recurred, 31.6 (IQR 24–35) kg/m² at surgery compared with 33.5 (IQR 27–36) kg/m² at last follow-up (p=0.016). On multivariate analysis, age and BMI change were the only predictors that were significantly associated with the risk of recurrence (overall response (OR 1.07 (0.99–1.14), p=0.05, OR 1.37 (1.12–1.67), p=0.002, respectively). Conclusion Patients with endometroid endometrial cancer that had an increase in BMI during follow-up were at an increased risk for cancer recurrence compared with patients that did not change or had a decrease in BMI.