Bagnardi, Vincenzo

We conducted a retrospective/prospective worldwide study on patients with neuroendocrine neoplasms (NENs) and a molecularly proven SARS-CoV-2 positivity. Preliminary results regarding 85 patients of the INTENSIVE study have been published in 2021. Now we are reporting the 2-year analysis.Here, we are reporting data from consecutive patients enrolled between 1 June 2020, and 31 May 2022. Among the 118 contacted centers, 25 were active to enroll and 19 actively recruiting at the time of data cut-off for a total of 280 patients enrolled. SARS-CoV-2 positivity occurred in 47.5% of patients in 2020, 35.1% in 2021, and 17.4% in 2022. The median age for COVID-19 diagnosis was 60 years. Well-differentiated tumors, non-functioning, metastatic stage, and gastroenteropancreatic (GEP) primary sites represented most of the NENs. COVID-19-related pneumonia occurred in 22.8% of the total, with 61.3% of them requiring hospitalization; 11 patients (3.9%) needed sub-intensive or intensive care unit therapies and 14 patients died (5%), in 11 cases (3.9%) directly related to COVID-19. Diabetes mellitus and age at COVID-19 diagnosis > 70 years were significantly associated with COVID-19 mortality, whereas thoracic primary site with COVID-19 morbidity. A significant decrease in both hospitalization and pneumonia occurred in 2022 vs 2020. In our largest series of NEN patients with COVID-19, the NEN population is similar to the general population of patients with NEN regardless of COVID-19. However, older age, non-GEP primary sites and diabetes mellitus should be carefully considered for increased COVID-19 morbidity and mortality. Relevant information could be derived by integrating our results with NENs patients included in other cancer patients with COVID-19 registries.

e16205 Background: Data about neuroendocrine neoplasms (NENs) patients with SARS-CoV-2 are scanty and specific indications for clinical practice are missing. Our aim is to create an international registry about NENs patients affected by SARS-CoV-2 positivity to give a worldwide representation of the situation. Methods: This is an observational retrospective/prospective multicenter survey based on a direct email invitation. All types of NEN are eligible except SCLC and MiNEN. Patients fulfilling the inclusion criteria from March 1st, 2020 up to the end pf pandemic will be recruited. Electronic CRFs are filled out using the REDCap database. Local Institutional Review Board approval is required before data entry. Results: Eighty-one centers, 24 in and 57 outside Italy, representing 39 countries and 5 continents, were contacted. Fourteen centers did not respond and 15 declined the invitation. Among the remaining 52, 6 centers are currently recruiting and 8 are active but not recruiting yet. As of the current abstract submission deadline, 67 patients have been included, mostly GEP-NET (75%), non-functioning (86%), metastatic (85%) and on active treatment [47% somatostatin analogs (SSAs), 10% everolimus, 12% tirosin-kinase inhibitors (TKIs), 10% peptide receptor radionuclide therapy (PRRT), 15% chemotherapy]. Median age at NEN diagnosis was 57 years whilst the median age at SARS-CoV-2 diagnosis was 62 years. Almost all patients reported COVID-19-related symptoms, more commonly fever (67% of patients), cough (55%) and dyspnea (51%), in 28% of cases exertional and in 22% at rest. More than one third of patients (n, 24) had a pneumonia. The most common therapies for COVID-19 were antibiotics, steroids and hydroxychloroquine. Eleven patients (16%) needed oxygen therapy, three (4%) sub-intensive care and none intensive care. Fifty-six patients (84%) clinically recovered, six (9%) with sequelae, whereas five (7%) died. Among these latter 4 had a NET and 1 a NEC, and no patients have been receiving chemotherapy. With regard to the anti-tumor therapy no change occurred in 66% of patients, temporary interruption in 30%, and definitive discontinuation in 3%, 2% missing. Conclusions: Most of the NEN patients completely recovered from COVID-19, in many cases without any anti-tumor therapy adjustment. No clear correlations were observed with type, primary site and treatment of NEN. The recruitment is ongoing.

Background L-MIND (NCT02399085) is an ongoing, open-label, single-arm, Phase II study of tafasitamab + lenalidomide (LEN) in patients with relapsed/refractory (R/R) diffuse large B-cell lymphoma (DLBCL) who are ineligible for autologous stem cell transplant. Progression-free survival (PFS) estimates the treatment effect of the study drug only, while overall survival (OS) also includes effects of potential subsequent cancer treatments or palliative care. Given that not all OS and PFS events have occurred after a long follow-up duration, traditional survival analyses may underestimate survival benefit for tafasitamab + LEN by assuming the same mortality rate for the whole population. We used mixture cure models to estimate the proportion of long-term survivors (LTS) and survival benefit associated with tafasitamab + LEN treatment. Methods In the L-MIND study (data cut-off: Nov 30, 2019), 80/81 enrolled patients with R/R DLBCL received tafasitamab + LEN, with a median and maximum follow-up duration of 31.8 months (95% CI: 27.2-35.9) and 43.5 months, respectively. The Kaplan-Meier (KM) plots of PFS and OS were observed to plateau after 30 months, with the majority of events reported up to that time-point and very few events beyond this time-point. Patients without a PFS event or patients who did not decease after the observed plateau exhibit a high survival benefit from tafasitamab + LEN treatment and are considered LTS. Thus, the patient population can be considered to consist of two sub-populations - LTS and non-LTS. A "mixture cure model" was fitted on the PFS and OS data to estimate the proportion of LTS and associated mean survival for the two sub-populations (Lambert PC, et al. 2007). To incorporate background mortality (Bansal, et al. 2019), age- and sex-specific US mortality rates (US CDC 2017) were factored in for the entire study population (enrolled in Europe and US). The weighted average of the mean survival for the two sub-populations provided an estimate of the mean survival for the whole population. For comparative purposes, standard parametric models without considering an LTS proportion were fitted on PFS and OS data additionally. Sensitivity analyses were performed considering different survival distributions (exponential distribution, Weibull distribution and log-logistic distribution). Results By using a mixture cure model fitted to PFS and OS data separately, the estimated proportion of LTS for the tafasitamab + LEN combination was 42% (95% CI: 30-55) and 47% (95% CI: 29-66), respectively. The predicted mean survival when mixture cure model was fitted on PFS data was 16.7 years for LTS patients vs 0.5 years for non-LTS patients, yielding 7.3 years for the overall population. Under this mixture cure model, the survival rates of patients with tafasitamab + LEN treatment were 40.2% and 36.0% at 2 and 5 years. Similar results were obtained when the mixture cure model was fitted on OS data. Using a standard parametric model (Weibull distribution), the predicted mean survival in the overall population was 2.8 years fitting PFS data (Figure 1) and 4.5 years fitting OS data (Figure 2). Conclusions PFS and OS KM curves for the L-MIND study reaching a long plateau and not following a Weibull distribution suggest the presence of an LTS subgroup. Standard parametric models may lead to a biased estimation of the OS benefit in such situations. The mixture cure model suggests that the treatment of R/R DLBCL patients with tafasitamab + LEN is associated with a high LTS proportion. The survival rates of patients with tafasitamab + LEN treatment were 40.2% and 36.0% at 2 and 5 years. Disclosures Salles: Takeda:Honoraria;BMS/Celgene:Honoraria, Other: consultancy or advisory role;Debiopharm:Consultancy, Honoraria, Other: consultancy or advisory role;Genmab:Honoraria, Other;Karyopharm:Honoraria;Kite, a Gilead Company:Honoraria, Other: consultancy or advisory role ;Epizyme:Honoraria, Other: consultancy or advisory role;Janssen:Honoraria, Other: consultancy or advisory role;Abbvie:Other: consultancy or advisory role;Roche:Honoraria, Other: consultancy or advisory role;Novartis:Honoraria, Other: consultancy or advisory role;MorphoSys:Honoraria, Other: consultancy or advisory role;Autolos:Other: consultancy or advisory role.Goswami:MorphoSys AG:Ended employment in the past 24 months.Bagnardi:MorphoSys AG:Consultancy.Dey:MorphoSys AG:Current Employment.Winderlich:MorphoSys AG:Current Employment.Ambarkhane:MorphoSys AG:Current Employment.Huang:MorphoSys AG:Current Employment.Nowakowski:Curis:Consultancy;Kymera:Consultancy;Kite:Consultancy;Ryvu:Consultancy, Membership on an entity's Board of Directors or advisory committees;Celgene/BMS:Consultancy, Research Funding;Seattle Genetics:Consultancy;MorphoSys:Consultancy, Research Funding;NanoString:Research Funding.