BackgroundPatients with cancer are particularly susceptible to SARS-CoV-2 infection. The systemic inflammatory response is a pathogenic mechanism shared by cancer progression and COVID-19. We investigated systemic inflammation as a driver of severity and mortality from COVID-19, evaluating the prognostic role of commonly used inflammatory indices in SARS-CoV-2-infected patients with cancer accrued to the OnCovid study.MethodsIn a multicenter cohort of SARS-CoV-2-infected patients with cancer in Europe, we evaluated dynamic changes in neutrophil:lymphocyte ratio (NLR); platelet:lymphocyte ratio (PLR); Prognostic Nutritional Index (PNI), renamed the OnCovid Inflammatory Score (OIS); modified Glasgow Prognostic Score (mGPS); and Prognostic Index (PI) in relation to oncological and COVID-19 infection features, testing their prognostic potential in independent training (n=529) and validation (n=542) sets.ResultsWe evaluated 1071 eligible patients, of which 625 (58.3%) were men, and 420 were patients with malignancy in advanced stage (39.2%), most commonly genitourinary (n=216, 20.2%). 844 (78.8%) had ≥1 comorbidity and 754 (70.4%) had ≥1 COVID-19 complication. NLR, OIS, and mGPS worsened at COVID-19 diagnosis compared with pre-COVID-19 measurement (p<0.01), recovering in survivors to pre-COVID-19 levels. Patients in poorer risk categories for each index except the PLR exhibited higher mortality rates (p<0.001) and shorter median overall survival in the training and validation sets (p<0.01). Multivariable analyses revealed the OIS to be most independently predictive of survival (validation set HR 2.48, 95% CI 1.47 to 4.20, p=0.001; adjusted concordance index score 0.611).ConclusionsSystemic inflammation is a validated prognostic domain in SARS-CoV-2-infected patients with cancer and can be used as a bedside predictor of adverse outcome. Lymphocytopenia and hypoalbuminemia as computed by the OIS are independently predictive of severe COVID-19, supporting their use for risk stratification. Reversal of the COVID-19-induced proinflammatory state is a putative therapeutic strategy in patients with cancer.

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commencing treatment. Three patients (21.4%) relapsed with median time to relapse of 3.6 years. 15 patients (34.9%) achieved complete response after 30 days of commencing therapy and 5 patients (33.3%) relapsed with median time of 2 years. Five patients achieved very good partial response (VGPR), six patients with limited or no response. Summary/Conclusion: Renal disease is the most common presentation of AL amyloidosis followed by cardiac involvement. 2/3 of patients have elevated serum free lambda light chain and most of them have either MGUS or smouldering myeloma on bone marrow biopsy. Diagnoses are mostly made on renal biopsy but rectal biopsy seems to be sensitive for diagnosis of amyloidosis infiltration as well. Bortezomib based therapy appeared to be effective treatment as first line therapy with 79% achieving good haematological response with sustainable remission status. Ongoing follow up and larger cohort will be required for more conclusive results.

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COVID-19 pathophysiology is caused by a cascade of respiratory and multiorgan failures arising, at least in part, from the SARS-CoV-2-driven dysregulation of the master transcriptional factor STAT3. Pharmacological correction of STAT3 over-stimulation, which is at the root of acute respiratory distress syndrome (ARDS) and coagulopathy/thrombosis events, should be considered for treatment of severe COVID-19. In this perspective, we first review the current body of knowledge on the role of STAT3 in the pathogenesis of severe COVID-19. We then exemplify the potential clinical value of treating COVID-19 disease with STAT3 inhibitors by presenting the outcomes of two hospitalized patients with active cancer and COVID-19 receiving oral Legalon®—a nutraceutical containing the naturally occurring STAT3 inhibitor silibinin. Both patients, which were recruited to the clinical trial SIL-COVID19 (EudraCT number: 2020-001794-77) had SARS-CoV-2 bilateral interstitial pneumonia and a high COVID-GRAM score, and showed systemic proinflammatory responses in terms of lymphocytopenia and hypoalbuminemia. Both patients were predicted to be at high risk of critical COVID-19 illness in terms of intensive care unit admission, invasive ventilation, or death. In addition to physician’s choice of best available therapy or supportive care, patients received 1050 mg/day Legalon® for 10 days without side-effects. Silibinin-treated cancer/COVID-19+ patients required only minimal oxygen support (2–4 L/min) during the episode, exhibited a sharp decline of the STAT3-regulated C-reactive protein, and demonstrated complete resolution of the pulmonary lesions. These findings might inspire future research to advance our knowledge and improve silibinin-based clinical interventions aimed to target STAT3-driven COVID-19 pathophysiology.

Background. Systemic inflammation is a pathogenic mechanism shared by infection and cancer. Mortality from Covid-19 is strongly linked to systemic cytokine excess. We investigated systemic inflammation as a driver of Covid-19 severity in patients with Covid-19 and cancer. Methods. Between 27/02 and 23/06/2020, OnCovid retrospectively accrued 1,318 consecutive European cancer patients with Covid-19. Patients with myeloma, leukemia, or insufficient data were excluded. The neutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR), prognostic nutritional index (PNI), modified Glasgow prognostic score (mGPS), and prognostic index (PI) were evaluated for their prognostic potential, with the NLR, PLR, and PNI risk stratifications dichotomized around median values, and the pre-established risk categorizations from literature utilized for the mGPS and PI. Results. 1,071 eligible patients were randomly assorted into a training set (TS, n=529) and validation set (VS, n=542) matched for age (67.9±13.3 TS, 68.5±13.5 VS), presence of &gt;1 comorbidity (52.1% TS, 49.8% VS), development of &gt;1 Covid-19 complication (27% TS, 25.9% VS), and active malignancy at Covid-19 diagnosis (66.7% TS, 61.6% VS). Among all 1,071 patients, deceased patients tended to categorize into poor risk groups for the NLR, PNI, mGPS, and PI (P&lt;0.0001). Recovered patients fully normalised NLR, PNI, and mGPS to pre-Covid-19 diagnosis levels (P&lt;0.01). In the TS, higher mortality rates were associated with NLR&gt;6 (44.6% vs 28%, P&lt;0.0001), PNI&lt;40 (46.6% vs 20.9%, P&lt;0.0001), mGPS (50.6% for mGPS2 vs 30.4% and 11.4% for mGPS1 and 0, P&lt;0.0001), and PI (50% for PI2 vs 40% for PI1 and 9.1% for PI0, P&lt;0.0001). Findings were confirmed in the VS (P&lt;0.001 for all comparisons). Patients in poor risk categories had shorter median overall survival [OS] (NLR&gt;6 30 days 95%CI 1-63, PNI&lt;40 23 days 95%CI 10-35, mGPS2 20 days 95%CI 8-32, PI2 23 days 95%CI 1-56) compared to patients in good risk categories, for whom median OS was not reached (P&lt;0.001 for all comparisons). The PLR was not associated with survival. Analyses of survival in the VS confirmed the NLR (P&lt;0.0001), PNI (P&lt;0.0001), PI (P&lt;0.01), and mGPS (P&lt;0.001) as predictors of survival. In a multivariable Cox regression model including all inflammatory indices, the PNI was the only independent predictor in both TS and VS analysis (TS hazard ratio [HR] 1.97, 95%CI 1.19-3.26, P=0.008; VS HR 2.48, 95%CI 1.47-4.20, P=0.001). Estimates were adjusted for sex, age, comorbid burden, active malignancy, and receipt of anti-cancer therapy within 4 weeks of Covid-19 diagnosis. Conclusion. Systemic inflammation drives mortality from Covid-19. Hypoalbuminemia and lymphocytopenia as measured by the PNI are the most accurate predictors of outcome and enable repurposing of the PNI as the OnCovid Inflammatory Score (OIS) as a readily available biomarker of severity. Citation Format: Gino M. Dettorre, Saoirse Dolly, Angela Loizidou, John Chester, Amanda Jackson, Uma Mukherjee, Alberto Zambelli, Juan Aguilar-Company, Mark Bower, Christopher C. Sng, Ramon Salazar, Alexia Bertuzzi, Joan Brunet, Ricard Mesia, Ailsa Sita-Lumsden, Elia Seguí, Federica Biello, Daniele Generali, Salvatore Grisanti, Pavetha Seeva, Gianpiero Rizzo, Michela Libertini, Antonio Maconi, Charlotte Moss, Josep Tabernero, Beth Russell, Nadia Harbeck, Bruno Vincenzi, Rossella Bertulli, Diego Ottaviani, Raquel Liñan, Andrea Marrari, M. Carmen Carmona-García, Neha Chopra, Carlo Tondini, Oriol Mirallas, Valeria Tovazzi, Vittoria Fotia, Claudia Andrea Cruz, Nadia Saoudi-Gonzalez, Eudald Felip, Ariadna Roqué, Alvin J. Lee, Thomas Newsom-Davis, Andrea Patriarca, Lorenza Rimassa, Armando Santoro, Alessandra Gennari, Nikolaos Diamantis, David J. Pinato. The acute phase response identifies cancer patients with adverse outcomes from SARS-CoV-2 infection as quantified by the OnCovid Inflammatory Score [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2021; 2021 Apr 10-15 and May 17-21. Philadelphia (PA): AACR; Cancer Res 2021;81(13_Suppl):Abstract nr 701.

We sought to determine parameters of the acute phase response, a feature of innate immunity activated by infectious noxae and cancer, deranged by Covid-19 and establish oncological indices’ prognostic potential for patients with concomitant cancer and Covid-19. Between 27/02 and 23/06/2020, OnCovid retrospectively accrued 1,318 consecutive referrals of patients with cancer and Covid-19 aged 18 from the U.K., Spain, Italy, Belgium, and Germany. Patients with myeloma, leukemia, or insufficient data were excluded. The neutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR), prognostic nutritional index (PNI), modified Glasgow prognostic score (mGPS), and prognostic index (PI) were evaluated for their prognostic potential, with the NLR, PLR, and PNI risk stratifications dichotomized around median values and the pre-established risk categorizations from literature utilized for the mGPS and PI. 1,071 eligible patients were randomly assorted into a training set (TS, n=529) and validation set (VS, n=542) matched for age (67.9±13.3 TS, 68.5±13.5 VS), presence of 1 comorbidity (52.1% TS, 49.8% VS), development of 1 Covid-19 complication (27% TS, 25.9% VS), and active malignancy at Covid-19 diagnosis (66.7% TS, 61.6% VS). Among all 1,071 patients, deceased patients tended to categorize into poor risk groups for the NLR, PNI, mGPS, and PI (P&lt;0.0001) with a return to pre-Covid-19 diagnosis NLR, PNI, and mGPS categorizations following recovery (P&lt;0.01). In the TS, higher mortality rates were associated with NLR&gt;6 (44.6% vs 28%, P&lt;0.0001), PNI&lt;40 (46.6% vs 20.9%, P&lt;0.0001), mGPS (50.6% for mGPS2 vs 30.4% and 11.4% for mGPS1 and 0, P&lt;0.0001), and PI (50% for PI2 vs 40% for PI1 and 9.1% for PI0, P&lt;0.0001). Findings were confirmed in the VS (P&lt;0.001 for all comparisons). Patients in poor risk categories had shorter median overall survival [OS], (NLR&gt;6 30 days 95%CI 1-63, PNI&lt;40 23 days 95%CI 10-35, mGPS2 20 days 95%CI 8-32, PI2 23 days 95%CI 1-56) compared to patients in good risk categories, for whom median OS was not reached (P&lt;0.001 for all comparisons). The PLR was not associated with survival. Analyses of survival in the VS confirmed the NLR (P&lt;0.0001), PNI (P&lt;0.0001), PI (P&lt;0.01), and mGPS (P&lt;0.001) as predictors of survival. In a multivariable Cox regression model including all inflammatory indices and pre-established prognostic factors for severe Covid-19 including sex, age, comorbid burden, malignancy status, and receipt of anti-cancer therapy at Covid-19 diagnosis, the PNI was the only factor to emerge with a significant hazard ratio [HR] in both TS and VS analysis (TS HR 1.97, 95%CI 1.19-3.26, P=0.008; VS HR 2.48, 95%CI 1.47-4.20, P=0.001). We conclude that systemic inflammation drives mortality from Covid-19 through hypoalbuminemia and lymphocytopenia as measured by the PNI and propose the PNI as the OnCovid Inflammatory Score (OIS) in this context. Citation Format: Gino M. Dettorre, Saoirse Dolly, Angela Loizidou, John Chester, Amanda Jackson, Uma Mukherjee, Alberto Zambelli, Juan Aguilar-Company, Mark Bower, Christopher C. T. Sng, Ramon Salazar, Alexia Bertuzzi, Joan Brunet, Ricard Mesia, Ailsa Sita-Lumsden, Elia Seguí, Federica Biello, Daniele Generali, Salvatore Grisanti, Pavetha Seeva, Gianpiero Rizzo, Michela Libertini, Antonio Maconi, Charlotte Moss, Beth Russell, Josep Tabernero, Nadia Harbeck, Bruno Vincenzi, Rossella Bertulli, Diego Ottaviani, Andrea Marrari, M. Carmen Carmona-García, Neha Chopra, Carlo Tondini, Oriol Mirallas, Valeria Tovazzi, Vittoria Fotia, Claudia A. Cruz, Nadia Saoudi-Gonzalez, Eudald Felip, Lorenza Scotti, Alvin J. X. Lee, Thomas Newsom-Davis, Andrea Patriarca, Lorenza Rimassa, Armando Santoro, Alessandra Gennari, Mieke Van Hemelrijck, Nikolaos Diamantis, David J. Pinato. The acute phase response identifies cancer patients with adverse outcomes from SARS-CoV-2 infection as quantified by the OnCovid Inflammatory Score [abstract]. In: Proceedings of the AACR Virtual Meeting: COVID-19 and Cancer; 2021 Feb 3-5. Philadelphia (PA): AACR; Clin Cancer Res 2021;27(6_Suppl):Abstract nr S01-03.

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