Breast Cancer and SARS-Cov2: Lessons from a Pandemic.

BACKGROUND/AIM: The COVID-19 pandemic introduced drastic containment measures, which had a direct impact on breast cancer management. During the first wave, a delay in care and a decrease in new consultation numbers was observed. It would be interesting to study the resulting long-term consequences on breast cancer presentation and time to first treatment. PATIENTS AND METHODS: This retrospective cohort study was conducted at the surgery Department of the Anti-Cancer Center of Nice, France. Two periods of 6 months were compared: a pandemic period from June to December 2020 (after the end of the first wave), and a control period one year earlier. The primary endpoint was to measure the time to care access. The patients and cancer characteristics and the management type were also compared. RESULTS: A total of 268 patients underwent diagnosis for breast cancer in each period. The time from biopsy to consultation was shortened after the containment was lifted (16 days vs. 18 days, p=0.024). The time between first consultation and treatment was unchanged between the two periods. The tumor size was larger in the pandemic period (21 mm vs. 18 mm, p=0.028). The clinical presentation was different: 59.8% of patients consulted for a palpable mass in the pandemic period, vs. 49.6% in the control period (p=0.023). There was no significant change in therapeutic management. The use of genomic testing was significantly increased. The number of breast cancer cases diagnosed decreased by 30% during the first COVID-19 lockdown. Even though a rebound was expected after the first wave, the number of consultations for breast cancer remained constant. This finding shows the fragility of screening adherence. CONCLUSION: It is necessary to reinforce education in the face of crises that may be repeated. Management of breast cancer did not change, which is a reassuring aspect regarding the care pathway in anticancer centers.

Host genetic variability and determinants of severe COVID-19.

Since the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) outbreak, convergent studies have provided evidence that host genetic background may contribute to the development of severe coronavirus disease (COVID-19). Here, we summarize how some genetic variations, such as in SARS-CoV-2 receptor angiotensin-converting enzyme 2 or interferon signaling pathway, may help to understand why some individuals can develop severe COVID-19.

Myocarditis and COVID-19 mRNA vaccines: a mechanistic hypothesis involving dsRNA.

While tolerance to COVID-19 vaccination is considered satisfactory, a phenomenon of myocarditis, although rare, is becoming a safety concern in mRNA COVID-19 vaccination. The presence of low residual levels of double-strand RNA (dsRNA) has been reported in mRNA COVID-19 vaccine preparations. dsRNA is a known inducer of immune-inflammatory reactions. dsRNA present in vaccine nanoparticles may be suspected to be at the origin of the still unexplained cases of myocarditis.

[Impact of COVID-19 pandemic on breast and gynecologic cancers management. Experience of the Surgery Department in the Nice Anticancer Center]. / Impact de la pandémie de COVID-19 sur les prises en charge pour cancer du sein et gynécologique.

INTRODUCTION: During the COVID-19 pandemic, the containment measures and the recommendations of several societies in oncology may have impacted the request for initial care for cancers. METHODS: In this monocentric retrospective study, the number and the characteristics of patients received for a first consultation for a breast or gynecologic tumor were compared between the containment period and a control period. The times from diagnosis to treatment and the type of initial care were compared too. RESULTS: During the outbreak, 91 patients were seen for a new request, versus 159 during the control period, a decrease of 43.5 %. Patients were older (62.9 versus 60.9 years old) but this difference was not significant. Tumor stage was not modified. Concerning senology, the time from the biopsy to the first consultation was 5.5 days longer during the outbreak (difference statistically insignificant). Among the 51 patients requiring a surgical treatment during the outbreak, 16 (31.48 %) were postponed after the end of the containment measures. After all, the average time from the consultation to the treatment was not modified. No modification of type of treatment was observed. DISCUSSION: At the height of the pandemic, benefits and risks of the cancer treatment had to be daily balanced against the risk of exposition to the COVID-19. The evaluation of practices for cancer care is essential to understand the real impact of COVID-19 outbreak on global cancer management, so as to get prepared to further crises.

A multifactorial score including autophagy for prognosis and care of COVID-19 patients.

In less than eleven months, the world was brought to a halt by the COVID-19 outbreak. With hospitals becoming overwhelmed, one of the highest priorities concerned critical care triage to ration the scarce resources of intensive care units. Which patient should be treated first? Based on what clinical and biological criteria? A global joint effort rapidly led to sequencing the genomes of tens of thousands of COVID-19 patients to determine the patients' genetic signature that causes them to be at risk of suddenly developing severe disease. In this commentary, we would like to consider some points concerning the use of a multifactorial risk score for COVID-19 severity. This score includes macroautophagy (hereafter referred to as autophagy), a critical host process that controls all steps harnessed by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus. Abbreviation list: ATG5: autophagy related 5; BECN1: beclin 1; COVID-19: coronavirus infectious disease-2019; EGR1: early growth response 1; ER: endoplasmic reticulum; DMVs: double-membrane vesicles; IBV: infectious bronchitis virus; MAP1LC3: microtubule associated protein 1 light chain 3; LC3-I: proteolytically processed, non-lipidated MAP1LC3; LC3-II: lipidated MAP1LC3; MEFs: mouse embryonic fibroblasts; MERS-CoV: Middle East respiratory syndrome-coronavirus; MHV: mouse hepatitis virus; NSP: non-structural protein; PEDV: porcine epidemic diarrhea virus; PLP2-TM: membrane-associated papain-like protease 2; SARS-CoV-2: severe acute respiratory syndrome coronavirus 2; TGEV: transmissible gastroenteritis virus.