Citations

e15020 Background: Durable responses were seen in registration trials for CAR-T in NHL across poor prognostic groups including early relapse post stem cell transplant (ASCT). Multi-center reports of real-world practice noted patients who received BT prior to CAR-T had decreased survival. The impact of last ST and response to BT on clinical outcome are examined here. Methods: Retrospective chart review was performed on 47 patients who received axicabtagene ciloleucel from June 2016 – September 2019 at Mayo Clinic, Rochester. ST was defined as last therapy prior to leukapheresis and grouped into categories – non-ASCT (chemotherapy, and immunotherapy), and ASCT. BT was defined as therapy given between leukapheresis and CAR-T. Response to therapy was evaluated using 2014 Lugano criteria. Event free survival (EFS) was defined as time from CAR-T infusion to progression, next treatment, or death. Results: The ST distribution was 77% non-ASCT [chemo 66% (31), and immunotherapy 11% (5)], and 23% (11) ASCT. EFS was significantly prolonged for the ASCT (median not reached) vs non-ASCT (median 3.8 months, p = 0.03) despite no difference in median prior lines of therapy. This may reflect more aggressive disease in the non-ASCT arm, as time from start of ST to leukapheresis was shorter (median non-ASCT 2.2 months vs. ASCT 4.4 months, p = 0.0008). Patients received BT if there were concerns for symptomatic progression during CAR-T manufacturing that would reduce the likelihood to receive CAR-T. Sixty-two percent (29) patients received BT (11 chemo, and 18 immunotherapy). The EFS did not differ between the type of BT. However, patients who progressed after BT had worse EFS than those who achieved stable disease or partial response (median 2.8 vs 8.7 months, p = 0.03). Conclusions: Patients who received CAR-T as the next treatment after ASCT had better EFS than those after other types of ST. While patients who received BT have worse survival than those who didn’t, having some control of lymphoma progression with BT was associated with better EFS than those who continued to have progressive disease.

3028 Background: Chimeric antigen receptor T-cell (CAR-T) therapy induces complete remission (CR) in 30-40% of patients with non-Hodgkin lymphoma (NHL). However, for patients who do not achieve CR as their first response, predictors for achieving CR as best response can guide management between careful observation or early intervention. Increased absolute lymphocyte count to absolute monocyte count ratio (ALC/AMC) predicts better response rates and survival in NHL patients receiving chemotherapy and/or autologous stem cell transplant. We evaluated the prognostic impact of ALC/AMC in CAR-T therapy for NHL. Methods: This was a retrospective review of patients who received CAR-T for NHL from June 2016-August 2019. ALC/AMC was assessed at the start of lymphodepletion (LD) chemotherapy. The receiver operator curve (ROC) was used to determine the best cutoff for ALC/AMC in predicting CR at 3 months. Event-free survival (EFS) was defined from time of CAR-T infusion to relapse or death, whichever occurred first. Overall survival (OS) was defined from time of infusion to death of any cause. Results: Forty-seven patients received axicabtagene ciloleucel, with a median follow-up of 14 months. By ROC, ALC/AMC > 0.8 before LD chemotherapy was predictive of achieving CR at 3 months. Baseline characteristics were similar between the high (n = 30) and low (n = 17) ALC/AMC groups. Patients with an ALC/AMC > 0.8 at the time of LD chemotherapy were more likely to achieve CR at 3 months (46% vs. 12%, p = 0.01), 6 months (52% vs. 0%, p < 0.0005), and 12 months (42% vs. 0%, p = 0.01). Correspondingly, the EFS and OS were significantly shorter in patients with ALC/AMC≤0.8 vs. those > 0.8 (median EFS: 2 vs. 13 months, P < 0.0001) and (median OS: 15 months vs. not reached, P = 0.03), respectively. Association between ALC/AMC ratio and EFS and OS remained consistent in multivariate Cox models after adjusting for other prognostic variables, including abnormal lactate dehydrogenase and increased ferritin level at infusion day. Conclusions: ALC/AMC > 0.8 before lymphodepletion chemotherapy is a strong predictor for complete remission as well as improved event-free and overall survival for axicabtagene ciloleucel in NHL.

Background Past research in population health trends has shown that injuries form a substantial burden of population health loss. Regular updates to injury burden assessments are critical. We report Global Burden of Disease (GBD) 2017 Study estimates on morbidity and mortality for all injuries. Methods We reviewed results for injuries from the GBD 2017 study. GBD 2017 measured injury-specific mortality and years of life lost (YLLs) using the Cause of Death Ensemble model. To measure non-fatal injuries, GBD 2017 modelled injury-specific incidence and converted this to prevalence and years lived with disability (YLDs). YLLs and YLDs were summed to calculate disability-adjusted life years (DALYs). Findings In 1990, there were 4 260 493 (4 085 700 to 4 396 138) injury deaths, which increased to 4 484 722 (4 332 010 to 4 585 554) deaths in 2017, while age-standardised mortality decreased from 1079 (1073 to 1086) to 738 (730 to 745) per 100 000. In 1990, there were 354 064 302 (95% uncertainty interval: 338 174 876 to 371 610 802) new cases of injury globally, which increased to 520 710 288 (493 430 247 to 547 988 635) new cases in 2017. During this time, age-standardised incidence decreased non-significantly from 6824 (6534 to 7147) to 6763 (6412 to 7118) per 100 000. Between 1990 and 2017, age-standardised DALYs decreased from 4947 (4655 to 5233) per 100 000 to 3267 (3058 to 3505). Interpretation Injuries are an important cause of health loss globally, though mortality has declined between 1990 and 2017. Future research in injury burden should focus on prevention in high-burden populations, improving data collection and ensuring access to medical care.

Background: Immune checkpoint inhibitors (ICIs) frequently cause thyroid dysfunction but their underlying mechanism remains unclear. We have previously demonstrated increased circulating natural killer (NK) cells and human leukocyte antigen (HLA)-DR surface expression on inflammatory intermediate CD14 + CD16 + monocytes in programmed cell death protein-1 (PD-1) inhibitor-treated patients. This study characterizes intrathyroidal and circulating immune cells and class II HLA in ICI-induced thyroiditis. Methods: This is a single-center prospective cohort study of 10 patients with ICI-induced thyroiditis by flow cytometry of thyroid fine needle aspirates ( n = 9) and peripheral blood ( n = 7) as compared with healthy thyroid samples ( n = 5) and healthy volunteer blood samples ( n = 44); HLA class II was tested in n = 9. Results: ICI-induced thyroiditis samples demonstrated overall increased T lymphocytes (61.3% vs. 20.1%, p = 0.00006), CD4 − CD8 − T lymphocytes (1.9% vs. 0.7%, p = 0.006), and, as a percent of T lymphocytes, increased CD8 + T lymphocytes (38.6% vs. 25.7%; p = 0.0259) as compared with healthy thyroid samples. PD-1 inhibitor-induced thyroiditis had increased CD4 + PD1 + T lymphocytes (40.4% vs. 0.8%; p = 0.021) and CD8 + PD1 + T lymphocytes (28.8% vs. 1.5%; p = 0.038) in the thyroid compared with the blood. Circulating NK cells, certain T lymphocytes (CD4 + CD8 + , CD4 − CD8 − T, gamma – delta), and intermediate monocytes were increased in ICI-induced thyroiditis. Six patients typed as HLA-DR4-DR53 and three as HLA-DR15. Conclusions: ICI-induced thyroiditis is a T lymphocyte-mediated process with intra-thyroidal predominance of CD8 + and CD4 − CD8 − T lymphocytes. The HLA haplotypes may be involved but need further evaluation. These findings expand the limited understanding of ICI-induced thyroiditis, which could be further translated to guide immunomodulatory therapies for advanced thyroid cancer.

Abstract Background There are many pharmacologic therapies that are being used or considered for treatment of coronavirus disease 2019 (COVID-19). There is a need for frequently updated practice guidelines on their use, based on critical evaluation of rapidly emerging literature. The objective was to develop evidence-based rapid guidelines intended to support patients, clinicians, and other healthcare professionals in their decisions about treatment and management of patients with COVID-19. Methods The Infectious Diseases Society of America (IDSA) formed a multidisciplinary guideline panel of infectious disease clinicians, pharmacists, and methodologists with varied areas of expertise. Process followed a rapid recommendation checklist. The panel prioritized questions and outcomes. Then a systematic review of the peer-reviewed and gray literature was conducted. The Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach was used to assess the certainty of evidence and make recommendations. Results The IDSA guideline panel agreed on 7 treatment recommendations and provided narrative summaries of other treatments undergoing evaluations. Conclusions The panel expressed the overarching goal that patients be recruited into ongoing trials, which would provide much-needed evidence on the efficacy and safety of various therapies for COVID-19, given that we could not make a determination whether the benefits outweigh harms for most treatments.

Abstract Introduction: Breast cancer is the most common female malignancy. Despite improvements in therapeutic options, metastatic disease remains incurable with limited treatments especially in triple-negative breast cancer (TNBC). Clinical outcomes in patients with TNBC continue to be worse as compared to other breast cancer subtypes. Therefore, novel therapeutic targets for TNBC are in urgent need. PIEZO2, which is a transmembrane calcium channel, is known to function as a channel-type mechanosensor in various aspects of mechanotransduction. Recently there have been reports that PIEZO2 may be involved in carcinogenesis and cancer progression. However, the role of PIEZO2 in breast cancer has not been elucidated. We hypothesized that PIEZO2 plays significant roles in progression of TNBC. Methods: To investigate the role of PIEZO2 in human breast cancer patients, The Cancer Genome Atlas (TCGA) breast cancer cohort, in which there are mRNA expression data from RNA-seq and clinical data, was utilized. PIEZO2 expression level was compared among breast cancer subtypes. Patients’ survival was compared based on PIEZO2 expression in each subtype. We used gene set enrichment analysis (GSEA) algorithm to evaluate pathways associated with PIEZO2 expression. To further elucidate the mechanisms of PIEZO2 roles, TNBC cell line, MDA-MB-231 was utilized for in vitro experiments. PIEZO2 expression was downregulated by small interfering RNA (siRNA). Cell viability was quantified by MTT assay. Protein expression was compared by western blot. Results: Breast cancer showed the highest PIEZO2 expression level, among various types of cancers in TCGA. In the breast cancer cohort, PIEZO2 expression level was lower in the TNBC subtype compared to other subtypes (p&lt;0.001). Thus we hypothesized that PIEZO2 has different roles in each subtype. Survival analyses revealed that patients with high expression of PIEZO2 tumors showed significantly worse overall survival (p=0.016) in the TNBC cohort. However, there was no significant difference in the hormone receptor (HR)-positive (p=0.555) and the HER2-positive (p=0.380) cohorts. To explore underlying mechanisms how PIEZO2 high expressing tumors associate with worse prognosis in TNBC, GSEA was conducted. PIEZO2 high expressing tumors enriched epithelial-mesenchymal transition (EMT; NES=1.90, p=0.012) and Angiogenesis (NES=1.91, p&lt;0.001) gene sets, as well as TAZ/YAP gene set (NES=1.57, p=0.028). PIEZO2 knockdown by siRNA significantly suppressed cell viability. This finding was validated by PIEZO inhibitor GSMTx-4 treatment. Further, expression levels of EMT related proteins, such as Vimentin and Snail, were downregulated in the PIEZO2 knockdown MDA-MB-231 cells compared to control cells. Conclusion: We describe a novel signaling pathway mediated by PIEZO2 leading to worse clinical outcomes in patients with TNBC by activation of EMT. Further work is ongoing to validate PIEZO2 as a novel therapeutic target for TNBC. Citation Format: Eriko Katsuta, Marija Vujcic, Shipra Gandhi, Arthur Beyder, Kazuaki Takabe, Mateusz Opyrchal. Mechanosensing calcium channel PIEZO2 accelerates epithelial-mesenchymal transition in triple-negative breast cancer [abstract]. In: Proceedings of the 2019 San Antonio Breast Cancer Symposium; 2019 Dec 10-14; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2020;80(4 Suppl):Abstract nr P6-07-04.

e19039 Background: In patients with lymphoma, lactate dehydrogenase (LDH) is an important prognostic marker. Serum lactate can also be elevated due to hypermetabolism from aggressive lymphoma. We have observed critically ill lymphoma patients with elevated serum lactate who had a delay in the diagnosis and treatment of their underlying lymphoma because the cause of the elevated lactate was presumed to be infection. This clinical observation led us to perform a study to evaluate the relationship between serum lactate and LDH levels in lymphoma patients. Methods: We used the Mayo Clinic Lymphoma Database to search for patients with lymphoma and elevated lactate during a recent two year time period, January 2014 through December 2015. Fifty patients met these initial criteria and underwent medical chart review. The patients were divided into two groups – those with documented infection (SepsisLA group) and those without infection (all cultures negative) where the elevated lactate was due to lymphoma hypermetabolism (LymLA group). The Wilcoxon/Kruskal-Wallis test was used to compare the SepsisLA and LymLA groups. Kaplan-Meier analysis was used to estimate survival. Results: The mean age of the 66 patients was 65 ± 14.8 years and 60% were male. At the time of presentation, the mean lactate and LDH values were 4.5 ± 2.81mmol/L (UNL < 2 mmol/L) and 835.1 ± 1741.4 U/L (UNL < 222 U/L), respectively. 64% (32/50) of patients had elevated LDH values. After review, 32 (64%) patients were in the SepsisLA group; 18 (36%) were in the LymLA group. DLBCL was the most common disease type in both the SepsisLA (50%; 16/32) and LymLA (88%; 16/18). The sepsisLA and LymLA groups were not significantly different in terms of age, sex, lactate levels, or maxSUV on PET scan (N = 13). However, patients in the LymLA group did have higher LDH values (p = 0.02) compared to those with SepsisLA. Patients with LymLA had a reduced overall survival (OS) (1.45 median months) compared to those with SepsisLA (7.83 median months) p = 0.02. Conclusions: This study demonstrates that the level of lactate elevation is not helpful indiscriminating SepsisLA vs LymLA; however an elevated LDH with elevated lactate is more likely LymLA. Lymphoma pts with LymLA had an inferior survival compared to SepsisLA. We are unable to define the true incidence and prognostic value of elevated serum lactate in lymphoma; this will require a prospective study with fresh samples. In summary, lymphoma activity can masquerade as infection with elevated lactate. Once sepsis is ruled out, treatment for the lymphoma should not be delayed as this presentation portends poor prognosis.

7519 Background: Acalabrutinib, a highly selective, potent, covalent Bruton tyrosine kinase (BTK) inhibitor, has a 24% overall response rate (ORR) as a single agent in R/R DLBCL. Pem targets PD-1, an immune checkpoint that limits anticancer responses. Pem showed responses in patients (pts) with Richter transformation who failed ibrutinib and can augment acalabrutinib activity in vitro. This study assessed acalabrutinib + Pem in R/R DLBCL. Methods: Pts with DLBCL, ≥1 prior chemoimmunotherapy and no prior allogeneic transplant received acalabrutinib 100 mg PO BID until progressive disease (PD) + Pem 200 mg/kg IV Q3W up to 2 y. Germinal center B-cell (GCB) vs non-GCB subtype was assessed by immunohistochemistry. Primary endpoint was safety. Results: Sixty-one pts (30 GCB; 31 non-GCB) were accrued, with a median age (range) of 67 y (30-85) and a median of 3 (1-8) prior therapies; 1 pt had prior autologous transplant. The most common Gr 3/4 adverse events (AEs) were neutropenia (15%) and anemia (11%). Gr 5 AEs were respiratory failure (n=3), sepsis, septic shock and abdominal abscess (n=1 each). All Gr atrial fibrillation was 5% (n=3), and major hemorrhage (≥ Gr 3) was 11% (4 gastrointestinal, 1 pulmonary, 1 epistaxis, 1 hematuria). Gr 3/4 immune-mediated events were elevated alanine aminotransferase (n=4), pneumonitis (n=2) and colitis (n=1). The ORR was 26% (Table) and was similar in GCB (27%) and non-GCB (26%) tumors. The median time on study was 5.2 mo (0.4-30.4+). Acalabrutinib/Pem discontinuations were due to PD (62%/56%) and AEs (15%/26%). As of June 2018, 10 pts remain on study; 6 on active therapy and 7 without PD. Conclusions: Acalabrutinib + Pem was well tolerated, with meaningful activity and some exceptional responders (>24 mo) in these R/R DLBCL pts. Randomized trials of the combination vs single agent are needed. Clinical trial information: NCT02362035. [Table: see text]

Context.— As pharmacogenetic testing is incorporated into routine care, it is essential for laboratories to provide accurate and consistent results. Certified laboratories must successfully complete proficiency testing. Objectives.— To understand and examine trends in participation and performance of laboratories participating in the College of American Pathologists pharmacogenetic proficiency testing surveys. Design.— Results from College of American Pathologists pharmacogenetic proficiency testing challenges from 2012 through 2017 were reviewed for concordance with expected genotype and phenotype for each sample (intended responses). Results.— Laboratories correctly reported results for 96.7% to 100% of samples with no variants. Excluding CYP2D6, laboratories correctly detected and reported variant alleles for each gene (93.7%–99.2% correct). CYP2D6 showed lower concordance, with 83.1% of laboratories reporting the intended genotype across all samples; however, in many cases, the laboratories that did not report a variant allele did not test for that allele. Among laboratories reporting the intended genotype, most successfully reported the intended phenotype (85.9%–99.0%). Conclusions.— Although laboratories are generally performing well, there is room for additional improvement, particularly for challenging genes, such as CYP2D6. Efforts in the field of pharmacogenomics to recommend alleles that should be included in clinical tests, identify reference materials, and standardize translation from genotype to phenotype may address some of the remaining variability in results.

Background: DLBCL has traditionally been classified by cell of origin (COO) subcategories based on tumor gene expression profiles which include Activated B-Cell (ABC) and Germinal Center B-Cell (GCB). Recently, using tumor samples from patients treated with RCHOP, new classification models have focused on DNA alterations. However, a comprehensive integrative approach using a large transcriptomic data set across both newly diagnosed (nd) and relapsed/refractory (r/r) DLBCL is yet to be accomplished. A robust clustering of this type will allow for identification of biologically driven DLBCL patient subgroups and may predict patient outcome and inform treatment approaches. Methods: RNAseq was performed on a total of 882 DLBCL tumor FFPE biopsies from 2 ndDLBCL cohorts (cohort 1 and 2) and 2 r/r DLBCL cohorts (cohorts 3 and 4). Cohort 1 (N=267) was commercially sourced and served as the discovery cohort. Cohort 2 (N=340) was from the Mayo/Iowa Lymphoma SPORE Molecular Epidemiology Resource (MER) and served as the replication cohort. Cohort 3 (N=189) was from the CC-122-ST-001 and CC-122-DLBCL-001 clinical trials (NCT01421524 and NCT02031419), and cohort 4 (N=86) was from r/r patients from the MER. Clustering input consisted of gene expression data, gene set variation analysis (GSVA) scores computed from the hallmark gene sets of MSigDB gene sets, as well as immune cell abundance estimates from a DLBCL-specific deconvolution method. An integrative clustering method iClusterPlus was applied to the input data to identify patient subgroups. A multinomial generalized linear model classifier was trained on the discovery dataset and applied to cohorts 2, 3, and 4 to assess patterns of gene expression and clinical features among the subgroups. Results: Integrative clustering identified 8 subgroups of ndDLBCL patients (DLBCL1-8; D1-D8) in cohort 1. Classifiers trained on cohort 1 were applied to cohort 2 and the same 8 clusters were identified. Among RCHOP treated patients in cohort 2, subgroups D4 (p&lt;0.01) and D8 (p&lt;0.0001) had significantly worse survival outcomes than the rest of the population. D4 comprised 21% of the MER ndDLBCL replication cohort (cohort 2) with a median event-free survival (mEFS) of 38.2 months and a median overall survival (mOS) of 80.3 months. D8 comprised 5% of the cohort with a mEFS of 7.5 months and a mOS of 12.1 months. The remaining 6 subgroups were standard risk, with mEFS ranging from 82.1 months to not reached, and none reaching mOS. The subgroups were not uniquely defined by previously known molecular classification methods such as COO or double hit signature (DHITsig), nor by clinical risk factors such as age or international prognostic index (IPI). Within D4, 92% of patients were ABC, representing a high risk subset of ABC patients. The mEFS in D4 ABCs was 38.2 months, while mEFS of non-D4 ABCs was not reached (p&lt;0.005). Transcriptomic analysis revealed a lower abundance of immune infiltration. D4 was associated with high IPI, with 49% of D4 having IPI&gt;2, compared to 33% of non-D4 with IPI&gt;2 (p&lt;0.05). D8 represented a high-risk subset which was 73% GCB. The mEFS of D8 GCBs was 5.4 months, while mEFS of non-D8 GCBs was not reached (p&lt;0.0001). Transcriptomic analysis revealed low expression of immune response and cytokine signaling pathways, consistent with the low abundance of immune cells in D8. This subgroup consisted of 63% DHITsig positive patients. Although only 20% of all DHITsig positive patients were in D8, these D8 DHITsig patients showed significantly worse survival than non-D8 DHITsig patients (mEFS 11.3 months vs. not reached, p&lt;0.0001). In the r/r DLBCL setting, D1-D8 were all present, with an increased prevalence of D4 and D8 in Cohort 3 (30% and 17%, respectively) and Cohort 4 (30% and 14%) compared to the newly diagnosed setting. Mutational data for these cohorts has been collected and is being interpreted in the context of the discovered subgroups. Conclusion: A novel integrative clustering of transformed gene expression data revealed 8 biologically homogeneous groups, two of which had inferior outcomes when treated with RCHOP therapy. Furthermore, these two subgroups were more prevalent in r/r DLBCL. This classification allows for the transcriptomic identification of high-risk patients underserved by RCHOP therapy. *Ortiz, Wenzl and Stokes contributed equally **Gandhi and Novak contributed equally Disclosures Ortiz: Celgene Corporation: Employment, Equity Ownership. Stokes:Celgene Corporation: Employment, Equity Ownership. Huang:Celgene Corporation: Employment, Equity Ownership. Maurer:Celgene: Research Funding; Morphosys: Membership on an entity's Board of Directors or advisory committees; Nanostring: Research Funding. Towfic:Celgene Corporation: Employment, Equity Ownership. Hagner:Celgene Corporation: Employment, Equity Ownership, Patents & Royalties. Ratushny:Celgene Corporation: Employment, Equity Ownership. McConnell:Celgene Corporation: Employment, Equity Ownership. Danziger:Celgene Corporation: Employment, Equity Ownership. Stong:Celgene Corporation: Employment, Equity Ownership. Lata:Celgene Corporation: Employment, Equity Ownership. Kamalakaran:Celgene Corporation: Employment, Equity Ownership. Mavrommatis:Celgene Corporation: Employment, Equity Ownership. Trotter:Celgene Corporation: Employment, Equity Ownership. Czuczman:Celgene Corporation: Employment, Equity Ownership. Ansell:Seattle Genetics: Research Funding; Affimed: Research Funding; Regeneron: Research Funding; Trillium: Research Funding; Mayo Clinic Rochester: Employment; Seattle Genetics: Research Funding; Mayo Clinic Rochester: Employment; Regeneron: Research Funding; Trillium: Research Funding; Bristol-Myers Squibb: Research Funding; Bristol-Myers Squibb: Research Funding; LAM Therapeutics: Research Funding; LAM Therapeutics: Research Funding; Affimed: Research Funding. Cerhan:NanoString: Research Funding; Janssen: Membership on an entity's Board of Directors or advisory committees; Celgene: Research Funding. Nowakowski:Genentech, Inc.: Research Funding; F. Hoffmann-La Roche Ltd: Research Funding; Curis: Research Funding; Bayer: Consultancy, Research Funding; Celgene: Consultancy, Research Funding; Selvita: Membership on an entity's Board of Directors or advisory committees; NanoString: Research Funding; MorphoSys: Consultancy, Research Funding. Gandhi:Celgene Corporation: Employment, Equity Ownership, Patents & Royalties. Novak:Celgene Coorperation: Research Funding.