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Objective: To determine the rate of lymphoproliferative disease (LPD) in women undergoing routine breast cancer screening (BCS). BCS can reveal pathologies other than carcinoma that involve the breast and lymph tissue. The few studies that have described cases in which BCS led to the diagnosis of LPD were based on small series and focused on imaging rather than clinical characteristics. Setting and Methods: A multi-center retrospective study in Israel, investigating LPD rate and characteristics among women diagnosed with LPD via BCS. Results: Thirty-four patients out of 14,400 consecutive women undergoing BCS at Tel Aviv Sourasky Medical Center during the study period were diagnosed with LPD, suggesting a diagnosis rate of 0.24%. The enlarged cohort (n = 45), including 11 patients that were retrieved from the databases of three other centers, demonstrates a predominant histological diagnosis of non-aggressive LPD (n = 33). Thirty-four (76%) had a suspicious axillary lymph node, and 11 had a breast lesion. The median maximal lesion size was 1.95 cm (range 0.8–6.5). Disease was localized in 60% of patients (stage 1 and 1E). Univariate analysis revealed that lymphocyte count was inversely associated with aggressive histology. At median follow-up of 39 months, all but three patients were alive. These three had been diagnosed with non-aggressive LPD which had never been treated and died from unrelated causes. Conclusions: The LPD detection rate via BCS was 2.36 per 1000 screens. The majority of LPDs were non-aggressive. Nearly a third were aggressive, most detected at an early stage, and the clinical outcome was generally favorable. [ABSTRACT FROM AUTHOR]

Purpose: The introduction of CD19-specific chimeric antigen receptor T-cell therapy (CAR-T) for treatment of relapsed/refractory diffuse large B cell lymphoma (R/R DLBCL) gives hope to patients with otherwise dismal prognosis. Therapy outcomes, however, depend upon selection of patients and accurate early identification of non-responders. Patients treated with CAR-T usually undergo [18F]FDG PET-CT at time of decision (TD), time of CAR-T transfusion (TT), 1 month (M1), and 3 months (M3) post-therapy. The purpose of the current study was to identify the specific parameters that should be addressed when reporting PET-CT studies in the clinical setting of CAR-T therapy. Methods: A total of 138 PET-CT scans (30 TD, 42 TT, 44 M1, 22 M3) of 48 patients treated with CAR-T were included. SUVmax, TMTV, and TLG were calculated in all scans. Response was assessed using the Deauville scale and ΔSUVmax method. Overall survival (OS) was the primary endpoint. Median follow-up was 12.8 (IQR 6.4–16.0) months from CAR-T infusion. Results: In a univariate analysis, TD-SUVmax > 17.1 and TT-SUVmax > 12.1 were associated with shorter OS (Pv < 0.05). In a multivariate analysis, three factors were significantly associated with shorter OS: TD-SUVmax > 17.1 (HR 10.3; Pv < 0.01), LDH > 450 U/l (HR 7.7; Pv < 0.01), and ECOG score > 1 (HR 5.5; Pv = 0.04). Data from TD and TT PET-CT scans were not predictive of toxicity. On M1-PET-CT, patients with a Deauville score > 3 had significantly shorter OS (median 7.9 months, versus not reached, Pv < 0.01). ΔSUVmax ≤ 66% on M1-PET-CT predicted shorter OS when M1-SUVmax was compared to TD-SUVmax (Pv = 0.02) but not to TT-SUVmax (Pv = 0.38). Conclusion: Pre-treatment SUVmax may guide patient selection for CAR-T therapy. On M1-PET-CT, Deauville score and ΔSUVmax from TD may identify early therapy failure. These parameters are easy to obtain and should be included in the PET-CT report. [ABSTRACT FROM AUTHOR]

The recent surge in coronavirus disease 2019 cases led to the consideration of a booster vaccine in previously vaccinated immunosuppressed individuals. However, the immunogenic effect of a third-dose severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) vaccine in immunosuppressed patients is still unknown. This was an observational cohort study of 279 previously vaccinated immunosuppressed patients followed at a single tertiary hospital in Israel. Patients were administered a third dose of the Pfizer-BioNTech mRNA vaccine (BNT162b2) between July 14 and July 21, 2021. Levels of IgG antibodies against the spike receptor-binding domain of SARS-CoV-2 were measured 3 to 4 weeks after vaccination. Of the cohort of 279 patients, 124 (44.4%) had haematologic malignancies, 57 (20.4%) had rheumatologic diseases, and 98 (35.1%) were solid organ-transplant recipients. Anti–SARS-CoV-2 antibody levels increased in 74.9% of cases. Across the entire cohort, the median absolute antibody levels (expressed in AU/mL) increased from 7 (interquartile range (IQR), 0.1–69) to 243 (IQR, 2–4749) after the booster dose. The response significantly varied across subgroups: The transplant cohort showed the greatest increase in absolute antibody levels (from 52 (IQR, 7.25–184.5) to 1824 (IQR, 161–9686)), followed by the rheumatology (from 22 (IQR, 1–106) to 1291 (IQR, 6–6231)) and haemato-oncology (from 1 (IQR, 0.1–7) to 7.5 (IQR, 0.1–407.5)) cohorts. The χ2 test was 8.30 for difference in fold change (p = 0.016). Of the 193 patients who were seronegative at baseline, 76 became seropositive after vaccination, corresponding to a 39.4% (95% CI, 32.8%–46.4%) seroconversion rate. Transplant patients had the highest seroconversion rate (58.3% (95% CI, 44.3%–71.2%)), followed by rheumatology (44.1% (95% CI, 28.9%–60.5%)) and haemato-oncology (29.7% (95% CI, 22%–38.8%); χ2 = 11.87; p = 0.003) patients. A third dose of BNT162b2 is immunogenic in most immunosuppressed individuals, although antibody response may differ based on the type of disease and immunosuppression. The antibody level that correlates with protection is still unknown; thus, future studies are needed to evaluate clinical outcomes. [ABSTRACT FROM AUTHOR]

A multi-center retrospective analysis of a cohort of patients in Israel treated with any bendamustine containing regimen between 2010-2014 was performed in order to determine the incidence and predictors for infection. The Kaplan Meier Model, employing log rank analysis, was used to assess time-to-infection. The Cox Proportional Hazards model was used to analyze multivariate effects of risk and 234 patients were included in the analysis. One hundred and nine (46.6%) developed at least one infection and 33.76% had severe infections. Seventy-six (41.5%) developed bacterial infection, nine (3.8%) fungal infection and 26 (11.5%) had viral infections. Factors significantly associated with time to infection on multivariable analysis were: bendamustine-combinations [hazard ratio (HR) = 0.589 (95% CI = 0.374-0.926), p = 0.022], Hb level [HR = 0.791 (95% CI = 0.716-0.875), p < 0.0001] and ischemic heart disease [HR = 1.828 (95% CI = 1.165-2.868), p = 0.009]. Infections were associated with a higher mortality and hospitalization rate.