Citations 37

Cerebral venous sinus thrombosis associated with spontaneous heparin-induced thrombocytopenia syndrome after total knee arthroplasty

Platelets | October 1, 2020 | Volume: 32 | Issue: 7 | Pages: 936-940

10.1080/09537104.2020.1828574 | PMID 33000657

Prevalence and outcomes of pneumocystis pneumonia in patients with T-cell lymphoma.

Journal of Clinical Oncology | May 25, 2020 | Volume: 38 | Issue: 15_suppl | Pages: e20057-e20057

10.1200/jco.2020.38.15_suppl.e20057

e20057 Background: T-cell lymphomas (TCL) are a heterogeneous group of rare, but aggressive non-Hodgkin lymphomas. CD4+ and CD8+ T-cell function plays a vital role in the immunologic response to P.jirovecii infection. Our study aims to define the prevalence of Pneumocystis jirovecii pneumonia (PJP) in HIV-uninfected TCL patients. Methods: All patients at Mayo Clinic, Rochester MN diagnosed with TCL and a positive Pneumocystis PCR assay from either bronchoalveolar lavage (BAL) fluid or other respiratory specimens were identified from March 2005 until November 2019. Patients with TCL and a diagnosis of PJP made outside of our medical center were identified through Advanced Cohort Explorer, a query building tool. Results: A total of 922 patients with TCL were identified, and only 14 cases (1.5%) had confirmed PJP. In confirmed PJP cases, the median age of TCL diagnosis was 62 years (IQR 51-70 years), 79% were male, and the median number of chemotherapy lines was 1.5 (IQR of 1-3). Half of the cases (6/12) received CHOP as first-line of therapy, followed by CHOEP (25%, 3/12). The median time to PJP diagnosis relative to chemotherapy was 18 days (IQR 14-27 days). Peripheral TCL, not otherwise specified was the most common TCL, followed by angioimmunoblastic TCL, and CD30+ T-cell lymphoproliferative disorders (64%, 29% and 7%, respectively). The primary specimen type sampled for PJP diagnosis was BAL fluid (n = 9, 64%), followed by sputum (n = 3, 22%), induced sputum (n = 1, 7%), and transbronchial lung biopsy (n = 1, 7%). Three patients had a prior autologous stem cell transplant (ASCT), and all three cases had relapsed TCL one year after ASCT. 77% of cases received oral prednisone equivalents (median dose of 25 mg, IQR 20-40 mg) 30 days prior to PJP diagnosis. Two patients developed PJP despite anti- Pneumocystis prophylaxis with aerosolized pentamidine. At the time of PJP diagnosis, most patients had lymphopenia (88%, 8/9), and CD4+ T-cells measurement was obtained only in one patient (CD4+ of 100 cells/mL). 71% of the cases were treated with trimethoprim/sulfamethoxazole (TMP/SMX). After the initial PJP episode, 36% of the cases were transitioned to TMP/SMX for secondary prophylaxis. All cause 30-day and 90-day mortality was 7% and 29%, respectively. Mortality attributed to PJP was 7% (n = 1). Conclusions: In our TCL cohort, the occurrence of PJP was low. Primary prophylaxis should be individualized in this population.
Effect of antibiotic use prior to or concurrent with immune checkpoint inhibitors on outcomes in patients with Hodgkin lymphoma.

Journal of Clinical Oncology | May 25, 2020 | Volume: 38 | Issue: 15_suppl | Pages: 8030-8030

10.1200/jco.2020.38.15_suppl.8030

8030 Background: There is growing interest in the identification of modifiable patient-specific factors that may predict response to immune checkpoint inhibitors (ICIs) in classical Hodgkin lymphoma (cHL). Recently, it has been proposed that antibiotic use could decrease the efficacy of ICIs in the treatment of advanced solid malignancies. The objective of our study is to assess whether antibiotic use prior to or concurrent with ICIs is associated with changes in outcomes in patients with cHL. Methods: Patients who received a PD-1 or CTLA-4 blocker for the treatment of cHL at Mayo Clinic Rochester between January 1, 2011 and October 20, 2018 were identified. We conducted a longitudinal retrospective chart review to identify those who received antibiotics within 30 or 90 days prior to initiation or concurrent with ICI therapy. Univariate cox regression analysis was used to assess for an association between antibiotic use and overall survival (OS) and progression-free survival (PFS) within these groups; a time-dependent variable was used for concurrent antibiotic use. Results: A total of sixty-two patients were identified (61% male, median age at ICI initiation 35 years [range: 19-87]). Median duration of follow up from ICI start was 38 months (range: 4-78). Twenty-one patients (34%) received antibiotics within 90 days of initiation of ICI, of which thirteen (21%) received antibiotics within 30 days. Thirty-five patients (57%) received antibiotics concurrently with ICI. Concurrent and prior antibiotic use within 90 days of ICI were both associated with inferior PFS (concurrent HR = 6.38 [95% CI 3.02-13.47]; 90-day HR = 2.21 [95% CI 1.10-4.47]) and OS (concurrent HR = 8.77 [95% CI 1.91-40.36]; 90-day HR = 2.96 [95% CI 1.09-8.04]). Conclusions: Antibiotic use is associated with inferior outcomes in patients with cHL treated with ICIs in this single institution cohort. This may reflect potential antibiotic effects on the gut microbiome (GMB) and immune system as has been suggested in prior studies. Further confirmatory studies and examination of potential confounding covariates are needed.
Treatment of metastatic castration sensitive prostate cancer (mCSPC) by disease volume: A systematic review and a meta-analysis.

Journal of Clinical Oncology | May 25, 2020 | Volume: 38 | Issue: 15_suppl | Pages: e17539-e17539

10.1200/jco.2020.38.15_suppl.e17539

e17539 Background: Chemotherapy with Docetaxel (D) or androgen pathway inhibition (API) with Abiraterone Acetate plus prednisone (AAP), Aplautamide(APA) and Enzalutamide(E) are acceptable, FDA approved treatment options for mCSPC. It is not clear whether the magnitude of benefit varies by the choice of initial agent [chemotherapy vs API] or by volume of disease [High vs Low]. Data is now available from all registration trials by volume status and motivated this analysis to inform initial treatment choice in mCSPC. Methods: We systematically searched MEDLINE(Ovid), Embase, and Scopus for randomized controlled trials of chemotherapy(D) or APIs (AAP, APA, ENZ) that had available hazard ratios (HRs) for overall survival (OS) and Progression Free Survival (PFS) according to patient’s volume of disease. We also reviewed abstracts and presentations from all major conference proceedings. We calculated the pooled overall survival HR and 95% CI by chemotherapy and APIs and by high volume(HVD) and low volume(LVD) using a random effect model, and tested for heterogeneity to assess the null hypothesis that no difference in the survival advantage exists by choice of initial agent and volume of disease. Results: Of 4456 studies identified in our search, there were 8 eligible randomized controlled trials that were included in the analysis. Both D and APIs significantly improved PFS [HR 0.48; 0.45-0.51] and OS [0.72; 0.64-0.81] when added to ADT, however the latter was associated with significantly higher improvement in PFS( P < 0.01) and OS (P = 0.03). In patients treated with D, patients with HVD derive significantly more benefit as compared to LVD( P = 0.046) and patients treated with APIs both HVD and LVD patients derive similar benefit( P = 0.80) (Table). Conclusions: mCSPC patients derive higher magnitude of survival benefit when treated with APIs as compared to D; however, D may be preferred in HVD patients. [Table: see text]
Recurrent checkpoint inhibitor‐induced warm agglutinin autoimmune hemolytic anemia in a patient with metastatic melanoma

American Journal of Hematology | April 3, 2020 | Volume: 95 | Issue: 7 | Pages: No page available

10.1002/ajh.25812 | PMID 32243616

Fitness and Anthracycline Use in Front-Line Therapy for Older Patients with Classical Hodgkin Lymphoma: A US Multi-Center Retrospective Analysis

Blood | November 14, 2019 | Volume: 134 | Issue: Supplement_1 | Pages: 4027-4027

10.1182/blood-2019-123572

Introduction Approximately 20% of patients (pts) with classical Hodgkin lymphoma (cHL) are age ≥ 60 years (yrs) at diagnosis (dx). Standard anthracycline-based therapies (ABTx) have historically shown lower efficacy and greater toxicity in this older population compared with younger pts, especially for unfit or frail pts. However, prior analyses have pre-dated the use of brentuximab vedotin (BV) and other novel targeted agents in the front-line setting and there remains no clearly defined or unified standard of care for this pt population. Studies in older lymphoma pts have also defined specific categories of pt fitness that may potentially guide therapy, although continued validation of these definitions in cHL are needed. We performed a large, multicenter retrospective study to identify current practice patterns in the US in older untreated cHL pts with specific attention to pt fitness using established definitions and to outcomes with ABTx versus non-ABTx. Methods Following IRB approval at each site, detailed pathologic and clinical data, including geriatric assessments (GAs) for the latter, were collected across 10 US academic medical centers. Eligible pts included: cHL dx on or after 1/1/2010, age ≥ 60 yrs at dx, and no preceding hematologic malignancy. Subjects with inadequate clinicopathologic and outcomes data or with dx other than cHL were excluded. A multivariable Cox proportional hazards model was developed to study the association of PFS and OS with various factors of interest, and survival rates were estimated by Kaplan-Meier using SPSS. Associations were considered significant for two-sided P values ≤ 0.05. Results Among 254 eligible older cHL pts with newly diagnosed disease, clinical features included: median age 67 yrs (range 60-90+), 54% male, 64% stage III/IV, 46% B symptoms, and 86.1% ECOG PS 0-1. 68.9% had nodular sclerosis, 18.9% mixed cellularity, and 12.2% other subtypes; EBV was detectable by IHC or peripheral blood in 39.3% of evaluable cases (n=98). In terms of geriatric measures, 31 pts (12.2%) had loss of at least one ADL; 40 (15.8%) had a geriatric syndrome; and 16 (6.3%) had both. Of note, only one pt underwent a comprehensive GA prior to treatment. Using established fitness definitions in lymphoma (Tucci et al, 2015), pts were classified as "Fit" (n=129; 50.8%), "Unfit" (n=8; 3.2%), or "Frail" (n=112 (44.1%); 5 (2%) were unclassifiable due to incomplete data (Table 1). Front-line regimens included ABVD (n=145; 57.1%), AVD (n=33; 13.0%), and CHOP (n=18; 7.1%). 6 pts (2.4%) received BV monotherapy; 21 (8.3%) received BV with AVD, the latter either concurrently (N=11) or sequentially (n=10). 11 pts did not receive systemic tx, of whom 9 received radiation alone; 58 pts received radiation with systemic tx. ABVD recipients received an average of 7.4 doses of bleomycin (range 1-14) and 18.4% (n=26) had pulmonary toxicity. In addition, 56.7% (n=130) of pts experienced at least one tx-related toxicity, which was similar across all fitness groups (Table 1). 15.1% (n=38) of pts stopped tx due to toxicity, which was noted more often in "frail" pts though it was relatively uncommon. 11 pts (4.3%) experienced treatment-related mortality (TRM). Compared with pts receiving non-ABTx, ABTx was associated with significantly improved PFS (HR 0.391, P=0.008) and OS (HR 0.195, P=0.0004). ECOG PS >1 was associated with inferior PFS (HR=1.96, P=0.017) and OS (HR=3.09, P=0.002). Pts defined as "frail" had no apparent difference in PFS compared with fit pts (Figure 1A;P=0.169), although decreased OS was seen (Figure 1B; P=0.01). Discussion To the best of our knowledge, these data represent one of the largest analyses of older cHL pts in the modern era. Our real-world analysis shows that in those who are able to receive them, anthracyclines provide meaningful survival benefit in this older cHL patient population and can be well-tolerated for many pts. The impact of dose intensity and backbone regimen are not yet known. In addition, current definitions of "fitness" incompletely identified pts at risk for poor outcomes or greater toxicity. Further studies are planned to better delineate fitness in this population. Disclosures Bartlett: Celgene: Research Funding; ADC Therapeutics: Consultancy, Research Funding; Affimed: Research Funding; Merck: Research Funding; Janssen: Research Funding; Immune Design: Research Funding; Gilead: Research Funding; Millenium: Research Funding; Pfizer: Research Funding; Pharmacyclics: Research Funding; Seattle Genetics: Research Funding; Forty Seven: Research Funding; Genenetech: Research Funding; Bristol-Myers Squibb: Research Funding. Grover:Seattle Genetics: Consultancy. Bennani:Adicet Bio: Other: Advisory board; Bristol-Myers Squibb: Research Funding; Adicet Bio: Other: Advisory board; Seattle Genetics: Other: Advisory board; Seattle Genetics: Other: Advisory board; Purdue Pharma: Other: Advisory board; Seattle Genetics: Other: Advisory board; Purdue Pharma: Other: Advisory board; Kite Pharma: Other: Advisory board; Bristol-Myers Squibb: Research Funding; Bristol-Myers Squibb: Research Funding; Kite Pharma: Other: Advisory board; Kite Pharma: Other: Advisory board; Purdue Pharma: Other: Advisory board; Adicet Bio: Other: Advisory board. Hill:Kite: Consultancy, Honoraria; Gilead: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Pharmacyclics: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; AstraZeneca: Consultancy, Honoraria; Celegene: Consultancy, Honoraria, Research Funding; Seattle Genetics: Consultancy, Honoraria; Takeda: Research Funding; Amgen: Research Funding; TG therapeutics: Research Funding; Abbvie: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Genentech: Consultancy, Research Funding. Advani:Takeda: Consultancy, Membership on an entity's Board of Directors or advisory committees; Gilead Sciences, Inc./Kite Pharma, Inc.: Consultancy, Membership on an entity's Board of Directors or advisory committees; Millennium: Research Funding; Kura: Research Funding; Janssen: Research Funding; Autolus: Consultancy, Membership on an entity's Board of Directors or advisory committees; Bayer: Consultancy, Membership on an entity's Board of Directors or advisory committees; Merck: Research Funding; Regeneron: Research Funding; Infinity Pharma: Research Funding; Bristol-Myers Squibb: Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene: Research Funding; Celmed: Consultancy, Membership on an entity's Board of Directors or advisory committees; Forty-Seven: Research Funding; Roche/Genentech: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Kyowa Kirin Pharmaceutical Developments, Inc.: Consultancy; Agensys: Research Funding; Stanford University: Employment, Equity Ownership; Seattle Genetics: Consultancy, Research Funding; Cell Medica, Ltd: Consultancy; AstraZeneca: Consultancy, Membership on an entity's Board of Directors or advisory committees; Pharmacyclics: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding. Svoboda:AstraZeneca: Consultancy; Celgene: Research Funding; Incyte: Research Funding; Pharmacyclics: Consultancy, Research Funding; Kyowa: Consultancy; Merck: Research Funding; BMS: Consultancy, Research Funding; Seattle Genetics: Consultancy, Research Funding. Magarelli:Tevan Oncology: Speakers Bureau. Feldman:Takeda: Honoraria, Speakers Bureau; Celgene: Honoraria, Research Funding, Speakers Bureau; Seattle Genetics: Consultancy, Honoraria, Other: Travel expenses, Speakers Bureau; AbbVie: Honoraria, Other: Travel expenses, Speakers Bureau; Pharmacyclics: Honoraria, Other: Travel expenses, Speakers Bureau; Janssen: Honoraria, Speakers Bureau; Kite Pharma: Honoraria, Other: Travel expenses, Speakers Bureau; Bayer: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Amgen: Research Funding; Cell Medica: Research Funding; Roche: Research Funding; Corvus: Research Funding; Eisai: Research Funding; Kyowa Hakko Kirin: Research Funding; Pfizer: Research Funding; Portola Pharma: Research Funding; Roche: Research Funding; Trillium: Research Funding; Viracta: Research Funding. Cohen:Astra Zeneca: Research Funding; ASH: Research Funding; UNUM: Research Funding; Hutchison: Research Funding; Takeda Pharmaceuticals North America, Inc.: Research Funding; Gilead/Kite: Consultancy; Lymphoma Research Foundation: Research Funding; LAM Therapeutics: Research Funding; Seattle Genetics, Inc.: Consultancy, Research Funding; Bristol-Meyers Squibb Company: Research Funding; Janssen Pharmaceuticals: Consultancy; Genentech, Inc.: Consultancy, Research Funding. Evens:Seattle Genetics: Consultancy, Honoraria, Research Funding; Tesaro: Research Funding; Epizyme: Consultancy, Honoraria; Verastem: Consultancy, Honoraria; Pharmacyclics: Consultancy, Honoraria. Portell:AbbVie: Research Funding; Pharmacyclics: Consultancy; Janssen: Consultancy; Genentech: Consultancy, Research Funding; Amgen: Consultancy; Bayer: Consultancy; BeiGene: Consultancy, Research Funding; Kite: Consultancy, Research Funding; Acerta/AstraZeneca: Research Funding; TG Therapeutics: Research Funding; Xencor: Research Funding; Roche/Genentech: Research Funding; Infinity: Research Funding.
Interleukin-2-Inducible T-Cell Kinase (ITK) Inhibitors for the Treatment of T-Cell Lymphoproliferative Disorders

Blood | October 14, 2019 | Volume: 132 | Issue: Supplement 1 | Pages: 4172-4172

10.1182/blood-2018-99-110554

Abstract Introduction: We previously demonstrated that engagement of the T-cell receptor (TCR) in malignant T-cells leads to ITK-dependent activation of the transcription factors NF-κB and GATA3, thus promoting chemotherapy resistance. TCR-mediated chemotherapy resistance was reversed upon knockdown or pharmacologic inhibition of ITK (Wang, 2017). ITK and resting lymphocyte kinase (RLK) are partially redundant TEC family kinase members involved in TCR signaling (Dubovsky, 2013). Here, we report results from preclinical studies evaluating the use of the ITK-specific inhibitor CPI-818 and the dual ITK/RLK inhibitor CPI-893 in the treatment of T-cell lymphoproliferative disorders. Methods/Results: Kinome screening was performed for CPI-818 and CPI-893. CPI-818 had high specificity for ITK over RLK (IC50 2.3 nM and 260 nM, respectively). In contrast CPI-893 had a high affinity for both ITK and RLK (IC50 0.36 nM and 0.4 nM, respectively). Normal and malignant T-cells from primary patient samples were evaluated for both ITK and RLK by western blot. As anticipated, normal CD3+ T-cells isolated from healthy donors expressed both ITK and RLK (n=3/3). In contrast, malignant T-cells preferentially expressed ITK in 3 of 3 cases and low levels of RLK in a single case. Tissue microarray analysis of cutaneous T-cell lymphoma and peripheral T-cell lymphoma cases further demonstrated ITK expression across multiple subtypes. To confirm on target effects of CPI-818 and CPI-893, Jurkat cells (which express ITK but not RLK) were stimulated with anti-CD3/CD28 beads for 5 minutes in the presence or absence of either agent. Auto-phosphorylation of ITK Y180 and PLC-γ Y783, an ITK substrate, were significantly reduced in the presence of either agent, confirming on target effects. We next evaluated the effect of both drugs on GATA3 expression. Cells were stimulated for 24 hours with anti-CD3/CD28 beads in the presence or absence of these agents (or vehicle control). ITK inhibition with either agent significantly reduced GATA3 expression in these experiments. We next evaluated the effect of CPI-818 and CPI-893 on cell viability in normal T-cells. TCR stimulation for 24 hours increased viability by 359% in the presence of vehicle control when normalized to unstimulated cells (n=3). Treatment with 1 µM CPI-893 reduced the cell viability to only 133% when compared to unstimulated controls (n=3, p = 0.0045). In contrast, treatment with the ITK-specific inhibitor CPI-818 at 1 µM had a numerically smaller, but still statistically significant effect (n=3, average viability 278%, p = 0.0056). We next quantified IL-10 expression by ELISA in cell culture supernatants. Consistent with the observed effect on cell proliferation and viability, only CPI-893 significantly reduced IL-10 production upon TCR stimulation (886 pg/mL vs 11.7 pg/mL, p <0.0001). In order to assess TCR-mediated resistance to chemotherapy in malignant T-cells, T8ML-1 cells (PTCL, NOS cell line) were incubated in the presence or absence of CPI-818 or CPI-893 (both 1 µM) with varying concentrations of vincristine. When compared to TCR-stimulated cells alone, both agents displayed single agent activity, but also sensitized the cells to the effects of vincristine. The IC50 for vincristine in unstimulated cells, TCR-stimulated cells, CP-818 treated stimulated cells, and CPI-893 treated stimulated cells was 0.049, 0.443, 0.066, and 0.091 nM, respectively (n=4 per group). Similar results were observed in primary patient samples treated with romidepsin. Consistent with the observed effect on proliferation and viability, IL-10 production was decreased when compared to TCR stimulated controls (15.97 pg/mL, n=3 for each group) with both CPI-818 (3.47 pg/mL, p <0.0001) and CPI-893 (2.3 pg/mL, p <0.0001). Conclusions: Our results demonstrate that TCR signaling inhibition with the selective ITK inhibitor CPI-818 significantly impaired malignant T-cell growth and proliferation, increased chemotherapy sensitivity, and decreased GATA3 expression. In contrast, this agent had minimal effect on normal T cells; this is likely explained by the expression of both ITK and RLK in most conventional T-cells. Collectively, our data support further preclinical and clinical studies with CP-818 in T-cell lymphoproliferative disorders. Disclosures Buggy: Corvus Pharmaceuticals, Inc.: Employment, Equity Ownership. Janc:Corvus Pharmaceuticals, Inc.: Employment, Equity Ownership. Wilcox:Incyte, Corp: Research Funding.