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Background: Axi-cel, an autologous anti-CD19 chimeric antigen receptor (CAR) T cell therapy, is approved for treatment of adult pts with R/R LBCL after ≥ 2 lines of systemic therapy. In the pivotal ZUMA-1 study, axi-cel demonstrated durable responses and a largely manageable safety profile (Locke FL, et al. Lancet Oncol. 2019). ZUMA-9 (NCT03153462), a multicenter, open-label study, provided pts with R/R LBCL with expanded access to axi-cel until commercial availability (Cohort 1 [C1]) and later, if commercially manufactured product did not meet commercial release specification(s) (Cohort 2 [C2]). Safety and efficacy of axi-cel (C1 and C2) and translational analyses (C2) are presented. Methods: Eligible adults had histologically confirmed R/R LBCL, ECOG ≤ 1, and received prior CD20-targeting and an anthracycline-containing regimen. C2 pts must have had commercial OOS product. Pts underwent leukaphersis and conditioning chemotherapy (cyclophosphamide 500 mg/m2/day and fludarabine 30 mg/m2/day) for 3 days followed by a single axi-cel infusion (target dose, 2 × 106 CAR T cells/kg). C1 and C2 pts with high disease burden could receive bridging therapy before conditioning at investigator's discretion. Endpoints included frequency of adverse events (AEs), objective response rate (ORR) per standard-of-care imaging assessment, overall survival (OS) for C1 and C2, and blood CAR T cells levels and serum cytokines for C2 only. Outcomes were contextualized with the primary analysis of ZUMA-1 C1+2 (n = 101; ≥ 6 mo of follow-up; Neelapu SS, et al. NEJM. 2017). Results: As of 11/29/2019 (C1) and 3/15/2020 (C2), 25 C1 pts and 36 C2 pts received axi-cel with a median follow-up of 27.1 mo (range, 23.6 - 29.6) and 13.2 mo (range, 0.4 - 25.7), respectively. In C1, median age was 56 y (range, 28 - 76), 60% were male, 80% had DLBCL, 48%/0% had ECOG1/≥2, 44% had IPI ≥3, and 64% had ≥ 3 prior lines of therapy. In C2, median age was 61 y (range, 24 - 81), 75% were male, 78% had DLBCL, 58%/17% had ECOG 1/≥2, 56% had IPI ≥3, and 69% had ≥ 3 prior lines of therapy. In C2, 50% of pts had OOS product with low viability, 28% had high IFN-γ, 14% had low IFN-γ, 14% received a low dose, and 6% had high transduction ratio. The ORR was 76% (64% complete response [CR]) for C1, 53% (36% CR) for C2, and 82% (54% CR) for ZUMA-1 C1+2. Median OS was 23.8 mo (95% CI, 13.5 - NE) for C1 and not reached (95% CI, 3.4 - NE) for C2, respectively. ORR and OS were consistent in C2 OOS subgroups (Table). Grade ≥ 3 AEs were reported in 88% and 89% of C1 and C2 pts, respectively. Grade ≥ 3 CRS (Lee et al, Blood. 2014) was not observed in C1 but was reported in 3% of C2 pts (13% in ZUMA-1 C1+2). Grade ≥ 3 neurologic events (NEs) occurred in 36% and 19% of pts in C1 and C2, respectively, and 28% of pts in ZUMA-1 C1+2. No Grade 5 CRS or NEs occurred in C1 or C2. All CRS and NEs resolved in C1, and most CRS (29/30) and NEs (19/24) resolved in C2 as of the data cutoff. Of 3 Grade 5 AEs in C1, 2 were unrelated to axi-cel (clostridial sepsis [on Day (D) 6] and respiratory failure [on D212]) and 1 was related to conditioning (myelodysplastic syndrome [on D563]). Of 3 Grade 5 AEs in C2, 2 were unrelated to axi-cel (multiple organ dysfunction syndrome [on D6] and cardiac arrest [on D482]) and 1 was related to axi-cel (systemic mycosis [on D30]). Median peak CAR T cell levels and median CAR T cell expansion (area under the curve in the first 28 days) were lower in ZUMA-9 C2 (n = 32/36; 12 cells/µL [range, 0 - 442] and 112 cells/µL × days [range, 0 - 3413]) vs ZUMA-1 C1+2 (n = 96/101; 42 cells/µL [range, 1 - 1514] and 462 cells/µL × days [range, 5 - 14,329]). Serum IFN-γ levels peaked within 8 days after axi-cel infusion (median, 170 pg/mL [range, 8 - 1876]) and were lower vs ZUMA-1 C1+2 (median, 477 pg/mL [range, 8 - 8209]). Axi-cel in ZUMA-9 C2 contained fewer, less differentiated CCR7+ naïve and central memory T cells, and a greater proportion of more differentiated CCR7- effector memory and effector T cells vs ZUMA-1 C1+2. No cases of replication-competent retroviruses were reported in C1 or C2. Conclusion: Axi-cel treatment demonstrated a manageable safety profile and meaningful clinical benefit in this expanded access and OOS product study. While CAR T cell therapy showed clinical benefit in C2 (OOS product), the lower CR rate was corroborated by lower CAR T cell expansion and a more differentiated product vs ZUMA-1 C1+2, warranting further investigation. ZUMA-9 C2 is enrolling pts and evaluation is ongoing. Disclosures Jacobson: Precision Biosciences: Consultancy, Honoraria, Other: travel support; Celgene/BMS: Consultancy, Honoraria, Other: travel support; Novartis: Consultancy, Honoraria, Other: travel support; AXIS: Speakers Bureau; Nkarta: Consultancy, Honoraria, Other: travel support; Clinical Care Options: Speakers Bureau; Pfizer: Research Funding; Lonza: Consultancy, Honoraria, Other: travel support; Kite, a Gilead Company: Consultancy, Honoraria, Other: travel support. Locke:Calibr: Consultancy; Kite, a Gilead Company: Consultancy, Research Funding; Wugen: Consultancy; GammaDelta Therapeutics: Consultancy; Celgene/Bristol-Myers Squibb: Consultancy; Novartis: Consultancy; Cellular Biomedicine Group: Other: Consultancy with grant options; Allogene: Consultancy. Miklos:Adaptive Biotech: Consultancy, Other: Travel support, Research Funding; Novartis: Consultancy, Other: Travel support, Research Funding; Pharmacyclics: Consultancy, Other: Travel support, Patents & Royalties, Research Funding; Juno-Celgene-Bristol-Myers Squibb: Consultancy, Other: Travel support, Research Funding; Allogene Therapeutics Inc.: Research Funding; Miltenyi Biotec: Research Funding; Janssen: Consultancy, Other: Travel support; Kite-Gilead: Consultancy, Membership on an entity's Board of Directors or advisory committees, Other: Travel support, Research Funding. Vose:Incyte: Research Funding; Novartis: Research Funding; Bristol-Myers Squibb: Research Funding; Karyopharm Therapeutics: Consultancy, Honoraria; Allogene: Honoraria; Loxo: Consultancy, Honoraria, Research Funding; Seattle Genetics: Research Funding; Miltenyi Biotec: Honoraria; Janssen: Honoraria; Epizyme: Honoraria, Research Funding; AbbVie: Consultancy, Honoraria; Kite, a Gilead Company: Honoraria, Research Funding; AstraZeneca: Consultancy, Honoraria, Research Funding; Verastem: Consultancy, Honoraria; Wugen: Honoraria; Celgene: Honoraria; Roche/Genetech: Consultancy, Honoraria, Other. Lin:Sorrento: Consultancy, Membership on an entity's Board of Directors or advisory committees; Merck: Research Funding; Vineti: Consultancy; Gamida Cells: Consultancy; Takeda: Research Funding; Kite, a Gilead Company: Consultancy, Research Funding; Legend BioTech: Consultancy; Juno: Consultancy; Bluebird Bio: Consultancy, Research Funding; Celgene: Consultancy, Research Funding; Novartis: Consultancy; Janssen: Consultancy, Research Funding. Budde:Roche: Consultancy; Merck: Research Funding; Amgen: Research Funding; Kite, a Gilead Company: Consultancy; Gilead Sciences: Consultancy; Mustang Therapeutics: Research Funding; AstraZeneca: Research Funding. Maloney:Celgene: Consultancy, Honoraria, Research Funding; A2 Biotherapeutics: Consultancy, Current equity holder in publicly-traded company, Honoraria; Gilead Sciences: Consultancy, Honoraria; Juno Therapeutics: Consultancy, Honoraria, Patents & Royalties: Patents are pending, but not issued, licensed, no royalties, no licensees., Research Funding; Bioline Rx: Consultancy, Honoraria; Novartis: Consultancy, Honoraria; Pharmacyclics: Consultancy, Honoraria; MorphoSys: Consultancy, Honoraria; Genentech: Consultancy, Honoraria; Amgen: Consultancy, Honoraria; Kite, a Gilead Company: Consultancy, Honoraria, Research Funding. Jaglowski:Juno: Consultancy; Kite, a Gilead Company: Consultancy, Research Funding; CRISPR: Consultancy; Novartis: Consultancy, Research Funding. Riedell:MorphoSys: Research Funding; Kite/Gilead: Research Funding, Speakers Bureau; Bayer: Consultancy, Speakers Bureau; Karyopharm Therapeutics: Consultancy; Celgene/Bristol-Myers Squibb: Consultancy, Research Funding; Novartis Pharmaceuticals: Consultancy, Honoraria, Research Funding. Perales:Celgene: Honoraria; MolMed: Membership on an entity's Board of Directors or advisory committees; Omeros: Honoraria, Membership on an entity's Board of Directors or advisory committees; Bellicum: Honoraria, Membership on an entity's Board of Directors or advisory committees; Abbvie: Honoraria, Membership on an entity's Board of Directors or advisory committees; Kite/Gilead: Honoraria, Research Funding; Miltenyi Biotec: Research Funding; Merck: Consultancy, Honoraria; Nektar Therapeutics: Honoraria, Membership on an entity's Board of Directors or advisory committees; Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees; Takeda: Honoraria, Membership on an entity's Board of Directors or advisory committees; Cidara Therapeutics: Other; Servier: Membership on an entity's Board of Directors or advisory committees, Other; Medigene: Membership on an entity's Board of Directors or advisory committees, Other; NexImmune: Membership on an entity's Board of Directors or advisory committees; Bristol Myers Squibb: Honoraria, Membership on an entity's Board of Directors or advisory committees; Incyte Corporation: Honoraria, Research Funding. Kim:Gilead Sciences: Current equity holder in publicly-traded company; Kite, a Gilead Company: Current Employment. Kawashima:Kite, a Gilead Company: Current Employment; Gilead Sciences: Other: stock or other ownership . Yang:Kite, a Gilead Company: Current Employment. Rossi:Kite, a Gilead Company: Current Employment; Gilead Sciences: Current equity holder in publicly-traded company. Goyal:Kite, a Gilead Company: Current Employment. Neelapu:Legend Biotech: Other; Allogene Therapeutics: Other: personal fees, Research Funding; Cell Medica/Kuur: Other: personal fees; Incyte: Other: personal fees; Unum Therapeutics: Other, Research Funding; Adicet Bio: Other; Novartis: Other: personal fees; Bristol-Myers Squibb: Other: personal fees, Research Funding; Merck: Other: personal fees, Research Funding; Kite, a Gilead Company: Other: personal fees, Research Funding; Precision Biosciences: Other: personal fees, Research Funding; Poseida: Research Funding; Calibr: Other; Acerta: Research Funding; Takeda Pharmaceuticals: Patents & Royalties; Celgene: Other: personal fees, Research Funding; Pfizer: Other: personal fees; Karus Therapeutics: Research Funding; Cellectis: Research Funding; N/A: Other.

BackgroundFusion of diffusion‐weighted imaging (DWI) to computed tomography (CT) has been touted as a possible technique to improve cholesteatomas localization. This study set out to assess the ability of DWI images fused with thin‐slice heavily T2‐weighted images to similarly localize surgically‐confirmed cholesteatomas.Materials and MethodsA retrospective review was completed of consecutive patients that underwent MR temporal bone imaging (9/2011–3/2020) with both DWI and thin‐slice T2‐weighted imaging. Included patients underwent surgical resection of primary or recidivistic cholesteatoma after preoperative MR imaging. A neuroradiologist, who was blinded to operative and clinical notes, localized each lesion on both DWI and fused DWI‐T2 images in 11 anatomic subdivisions of the temporal bone. Surgical confirmation of cholesteatoma location was used as the gold standard for comparison.ResultsOf 24 included examinations, the average age at time of MR was 48.2 ± 24.7 years; 12/24 (50.0%) were female. Five of 24 had primary cholesteatoma, while the remainder had recidivistic disease. Sensitivity, specificity, and accuracy of unfused DWI images were 52.1%, 88.9%, and 75.8%, respectively. Sensitivity, specificity, and accuracy of fused DWI‐T2 images were 57.1%, 94.8%, and 81.8%, respectively.ConclusionFused DWI‐T2 images outperformed unfused DWI images in the anatomic localization of temporal bone cholesteatomas. This method represents a potential alternative to MR‐CT fusion for pre‐operative cholesteatoma evaluation, and warrants future investigations. Opposed to MR‐CT fusion, this method only necessitates MR sequences and removes the need for additional CT acquisition.Level of Evidence3 Laryngoscope, 131:E1662–E1667, 2021

Background and Aims Vascular invasion (VI) is a critical risk factor for HCC recurrence and poor survival. The molecular drivers of vascular invasion in HCC are open for investigation. Deciphering the molecular landscape of invasive HCC will help identify therapeutic targets and noninvasive biomarkers. Approach and Results To this end, we undertook this study to evaluate the genomic, transcriptomic, and proteomic profile of tumors with VI using the multiplatform cancer genome atlas (The Cancer Genome Atlas; TCGA) data (n = 373). In the TCGA Liver Hepatocellular Carcinoma cohort, macrovascular invasion was present in 5% (n = 17) of tumors and microvascular invasion in 25% (n = 94) of tumors. Functional pathway analysis revealed that the MYC oncogene was a common upstream regulator of the mRNA, miRNA, and proteomic changes in VI. We performed comparative proteomic analyses of invasive human HCC and MYC‐driven murine HCC and identified fibronectin to be a proteomic biomarker of invasive HCC (mouse fibronectin 1 [Fn1], P = 1.7 × 10 −11 ; human FN1, P = 1.5 × 10 −4 ) conserved across the two species. Mechanistically, we show that FN1 promotes the migratory and invasive phenotype of HCC cancer cells. We demonstrate tissue overexpression of fibronectin in human HCC using a large independent cohort of human HCC tissue microarray (n = 153; P < 0.001). Lastly, we showed that plasma fibronectin levels were significantly elevated in patients with HCC (n = 35; mean = 307.7 μg/mL; SEM = 35.9) when compared to cirrhosis (n = 10; mean = 41.8 μg/mL; SEM = 13.3; P < 0.0001). Conclusions Our study evaluates the molecular landscape of tumors with VI, identifying distinct transcriptional, epigenetic, and proteomic changes driven by the MYC oncogene. We show that MYC up‐regulates fibronectin expression, which promotes HCC invasiveness. In addition, we identify fibronectin to be a promising noninvasive proteomic biomarker of VI in HCC.

PURPOSE CALGB 40601 assessed whether dual versus single human epidermal growth factor receptor 2 (HER2) –targeting drugs added to neoadjuvant chemotherapy increased pathologic complete response (pCR). Here, we report relapse-free survival (RFS), overall survival (OS), and gene expression signatures that predict pCR and survival. PATIENTS AND METHODS Three hundred five women with untreated stage II and III HER2-positive breast cancer were randomly assigned to receive weekly paclitaxel combined with trastuzumab plus lapatinib (THL), trastuzumab (TH), or lapatinib (TL). The primary end point was pCR, and secondary end points included RFS, OS, and gene expression analyses. mRNA sequencing was performed on 264 pretreatment samples. RESULTS One hundred eighteen patients were randomly allocated to THL, 120 to TH, and 67 to TL. At more than 7 years of follow-up, THL had significantly better RFS and OS than did TH (RFS hazard ratio, 0.32; 95% CI, 0.14 to 0.71; P = .005; OS hazard ratio, 0.34; 95% CI, 0.12 to 0.94; P = .037), with no difference between TH and TL. Of 688 previously described gene expression signatures, significant associations were found in 215 with pCR, 45 with RFS, and only 22 with both pCR and RFS (3.2%). Specifically, eight immune signatures were significantly correlated with a higher pCR rate and better RFS. Among patients with residual disease, the immunoglobulin G signature was an independent, good prognostic factor, whereas the HER2-enriched signature, which was associated with a higher pCR rate, showed a significantly shorter RFS. CONCLUSION In CALGB 40601, dual HER2-targeting resulted in significant RFS and OS benefits. Integration of intrinsic subtype and immune signatures allowed for the prediction of pCR and RFS, both overall and within the residual disease group. These approaches may provide means for rational escalation and de-escalation treatment strategies in HER2-positive breast cancer.

ObjectivesThe spine is the most common site of bone metastases in differentiated thyroid cancer (DTC). The role of surgery in the management of cervical spine (C‐spine) metastases (CSpM) has not been adequately explored.MethodsThis is a retrospective cohort study at a tertiary referral center from 2002 to 2018. Inclusion criteria were pathologic diagnosis of DTC and imaging/pathologic diagnosis of CSpM. Statistical analysis utilized t tests for continuous variables and χ2 tests for categorical variables. Survival analysis was conducted using Kaplan–Meier curves with univariate and multivariate Cox regressions.ResultsFifty patients with DTC and CSpM were identified. Of those, 16 underwent surgical resection of the C‐spine, whereas 34 did not. The most common presenting symptom was neck pain (N = 37, 74%). Patients in the surgery group were more likely to report a subjective improvement of symptoms (P < .01) and to have local (P < .01) and systemic (P = .04) disease control. Five‐year overall survival was 44.7% for the surgery group (95% confidence interval [CI]: 17.1–69.3) and 11.1% (95% CI: 2.1–28.8) for the nonsurgery group (P = .01). The strongest risk factor for improved overall survival after C‐spine metastasis was local disease control at the C‐spine (multivariate hazard ratio [HR] = 0.32, 95% CI: 0.12–0.85, P = .02). Surgical intervention was significantly associated with improved survival on both univariate (HR = 0. 35, 95% CI: 0.15–0.82, P = .02) and multivariate (HR = 0.37, 95% CI: 0.14–0.98, P = .04) analysis.ConclusionSurgical management of CSpM in differentiated thyroid cancers is associated with significantly improved local disease control and overall survival. Referral to spine surgeons should be considered after diagnosis.Level of EvidenceIV. Laryngoscope, 131:E1741–E1747, 2021

Abstract The results from the RATIFY trial (ClinicalTrials.gov: NCT00651261; CALGB 10603) showed that midostaurin combined with standard chemotherapy significantly improved outcomes in patients with FMS-like tyrosine kinase 3 (FLT3)–mutated acute myeloid leukemia (AML), compared with placebo. In this post hoc subgroup analysis from the trial, we evaluated the impact of midostaurin in 163 patients with FLT3-tyrosine kinase domain (TKD) mutations. At a median follow-up of 60.7 months (95% CI, 55.0-70.8), the 5-year event-free survival (EFS) rate was significantly higher in patients treated with midostaurin than in those treated with placebo (45.2% vs 30.1%; P = .044). A trend toward improved disease-free survival was also observed with midostaurin (67.3% vs 53.4%; P = .089), whereas overall survival (OS) was similar in the 2 groups. Patients with AML and NPM1mut/FLT3-TKDmut or core binding factor (CBF)–rearranged/FLT3-TKDmut genotypes had significantly prolonged OS with or without censoring at hematopoietic cell transplantation (HCT), compared with NPM1WT/CBF-negative AMLs. The multivariable model for OS and EFS adjusted for allogeneic HCT in first complete remission as a time-dependent covariable, revealed NPM1 mutations and CBF rearrangements as significant favorable factors. These data show that NPM1 mutations or CBF rearrangements identify favorable prognostic groups in patients with FLT3-TKD AMLs, independent of other factors, also in the context of midostaurin treatment.

AbstractBackgroundIn patients presenting with recurrent pleomorphic adenoma (rPA), clinical evaluation can fail to recognize carcinoma ex PA (cxPA). We aim to identify the risk factors for cxPA.MethodsThis is a single institution retrospective case‐control study from 2000 to 2015. CxPA was diagnosed based on surgical pathology. Demographics, clinical, and social histories were collected.ResultsA number of 13/106 (12.3%) patients were diagnosed with cxPA, of which only 4/13 (31%) had clinical features suspicious for malignancy. Compared to benign rPA, factors associated with cxPA included age >50 (odds ratio [OR] 6.67, 95% confidence interval [CI]: 1.71‐25.98, P < .01), >10 pack‐years of smoking history (OR 3.36, 95% CI: 1.01‐11.14, P = .04), and the largest tumor being >2 cm on pathology (OR 4.42, 95% CI: 1.14‐17.10, P = .03).ConclusionsIn patients presenting with rPA, risk factors for malignant transformation include age >50, significant smoking history, and tumors larger than 2 cm. Clinical signs of malignancy such as rapid growth or pain are not always present.

Abstract Objectives To describe the histologic features that are helpful in the diagnosis of the rare bronchiolar adenomas/ciliated muconodular papillary tumors (BAs/CMPTs) during intraoperative consultation. Methods Multi-institutional retrospective review of frozen sections of 18 BAs/CMPTs. Results In 14 of 18 cases, BA/CMPT was the primary reason for sublobar lung resection, and in 4 cases, BA/CMPT was an incidental finding intraoperatively for resections performed for carcinoma in other lobes. There were 11 proximal-type/classic BAs/CMPTs and 7 distal-type/nonclassic BAs/CMPTs. Only 3 (16.7%) of 18 were correctly diagnosed at the time of frozen section, all of which were proximal type/classic. The remainder were diagnosed as adenocarcinoma (n = 7); invasive mucinous adenocarcinoma (n = 1); non–small cell lung carcinoma (n = 1); cystic mucinous neoplasm, favor adenocarcinoma (either mucinous or colloid type) (n = 1); favor adenocarcinoma, cannot exclude CMPT (n = 1); atypical proliferation (n = 2); mucinous epithelial proliferation (n = 1); and mucous gland adenoma (n = 1). Conclusions BA/CMPT can potentially be misdiagnosed as carcinoma during intraoperative consultation. On retrospective review of the frozen sections, the presence of the following may help to avoid misdiagnosis: a mixture of bland ciliated columnar cells, mucinous cells, and, most important, a basal cell layer, as well as a lack of necrosis, significant atypia, and mitoses.