Citations

Abstract Purpose: NOTCH signaling is associated with tumorigenesis, mutagenesis, and immune tolerance in non–small cell lung cancer (NSCLC), indicating its association with the clinical benefit of immune checkpoint inhibitors (ICI). We hypothesized that NOTCH mutation in NSCLC might be a robust predictor of immunotherapeutic efficacy. Experimental Design: Multiple-dimensional data including genomic, transcriptomic, and clinical data from cohorts of NSCLC internal and public cohorts involving immunotherapeutic patients were analyzed. Polymorphism Phenotyping v2 (PolyPhen-2) system was performed to determine deleterious NOTCH mutation (del-NOTCHmut). Further investigation on molecular mechanism was performed in The Cancer Genome Atlas (TCGA) data via CIBERSORT and gene set enrichment analysis. Results: Our 3DMed cohort (n = 58) and other four cohorts (Rizvi, POPLAR/OAK, Van Allen, and MSKCC; n = 1,499) uncovered marked correlation between NOTCH1/2/3 mutation and better ICI outcomes in EGFR/ALKWT population, including objective response rate (2.20-fold, P = 0.001), progression-free survival [HR, 0.61; 95% confidence interval (CI), 0.46–0.81; P = 0.001], and overall survival (HR, 0.56; 95% CI, 0.32–0.96; P = 0.035). Del-NOTCHmut exhibited better predictive function than non-deleterious NOTCH mutation, potentially via greater transcription of genes related to DNA damage response and immune activation. Del-NOTCHmut was not linked with prognosis in TCGA cohorts and chemotherapeutic response, but was independently associated with immunotherapeutic benefit, delineating the predictive, but not prognostic, utility of del-NOTCHmut. Conclusions: This work distinguishes del-NOTCHmut as a potential predictor to favorable ICI response in NSCLC, highlighting the importance of genomic profiling in immunotherapy. More importantly, our results unravel a possibility of personalized combination immunotherapy as adding NOTCH inhibitor to ICI regimen in NSCLC, for the optimization of ICI treatment in clinical practice.

The World Health Organization (WHO) has declared coronavirus disease 2019 (COVID-19), the disease caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), a pandemic. Global health care now faces unprecedented challenges with widespread and rapid human-to-human transmission of SARS-CoV-2 and high morbidity and mortality with COVID-19 worldwide. Across the world, medical care is hampered by a critical shortage of not only hand sanitizers, personal protective equipment, ventilators, and hospital beds, but also impediments to the blood supply. Blood donation centers in many areas around the globe have mostly closed. Donors, practicing social distancing, some either with illness or undergoing self-quarantine, are quickly diminishing. Drastic public health initiatives have focused on containment and “flattening the curve” while invaluable resources are being depleted. In some countries, the point has been reached at which the demand for such resources, including donor blood, outstrips the supply. Questions as to the safety of blood persist. Although it does not appear very likely that the virus can be transmitted through allogeneic blood transfusion, this still remains to be fully determined. As options dwindle, we must enact regional and national shortage plans worldwide and more vitally disseminate the knowledge of and immediately implement patient blood management (PBM). PBM is an evidence-based bundle of care to optimize medical and surgical patient outcomes by clinically managing and preserving a patient’s own blood. This multinational and diverse group of authors issue this “Call to Action” underscoring “The Essential Role of Patient Blood Management in the Management of Pandemics” and urging all stakeholders and providers to implement the practical and commonsense principles of PBM and its multiprofessional and multimodality approaches.

Abstract Background: Combination treatments of CDK4 & 6 inhibitors (CDK4 & 6i) with endocrine therapy (ET) have improved outcomes in patients with HR-positive (HR+), HER2-negative (HER2-) advanced breast cancer (ABC). Aside from estrogen receptor positivity (ER+), predictive biomarkers of clinical benefit from CDK4 & 6i in combination with ET remain elusive. We assessed clinical outcomes by genomic alterations detected in baseline circulating tumor DNA (ctDNA) from patients treated with abemaciclib plus a nonsteroidal aromatase inhibitor (NSAI) versus placebo plus NSAI in the Phase 3 study MONARCH 3 (NCT02246621). Methods: MONARCH 3 randomized 493 postmenopausal women with HR+, HER2- ABC who had no prior systemic therapy in the advanced setting to treatment with abemaciclib plus NSAI or placebo plus NSAI. Biomarker analysis of baseline ctDNA was an exploratory objective; plasma was analyzed by the Guardant360 next-generation sequencing (NGS)-based assay to identify potential tumor-related (i.e., somatic) genomic alterations including point mutations (SNV), indels, amplifications, and fusions in over 70 cancer-related genes. Genomic alterations detected in baseline ctDNA were associated with clinical outcomes including progression-free survival (PFS) and objective response rate (ORR). Results: Baseline ctDNA results were available for 295 patients (201 abemaciclib; 94 placebo) with 83% of patients harboring one or more detectable genomic alterations. Commonly altered genes of interest (% frequency) detected in baseline ctDNA included: PIK3CA (38%); TP53 (26%); EGFR (15%); FGFR1 (12%); NF1 (12%); MYC (9%); CCND1 (9%); ESR1 (5%).Overall, patients treated with placebo plus NSAI who harbored detectable ctDNA genomic alterations had shorter median PFS compared to patients without detectable genomic alterations, as shown in the Table (14.9 months [95% CI: 11.0-23.1] vs 19.2 months [95% CI 9.4-NR]). Moreover, genomic alterations in EGFR, FGFR1, MYC, and CCND1 were associated with median PFS <12 months with placebo plus NSAI. However, consistent with the intent-to-treat population, the addition of abemaciclib to NSAI benefitted these genomic subgroups, regardless of ctDNA gene alterations. Additional genomic results, including alterations in cell cycle-associated genes, will be presented. Conclusions: In this exploratory subgroup analysis, the presence of detectable ctDNA genomic alterations was associated with shorter PFS with placebo plus NSAI. Consistently, abemaciclib added to NSAI improved outcomes for genomically identified subgroups. In contrast to prior studies, there was no subgroup (e.g., patients harboring FGFR1 alterations) that did not derive benefit from abemaciclib, supporting the efficacy of abemaciclib, including in difficult to treat tumors. These findings are hypothesis-generating and warrant further investigations in clinical studies of CDK4 & 6i in combination with ET. TableAbemaciclib + NSAIPlacebo + NSAIEvents, n/NMedian PFS (95% CI)Events, n/NMedian PFS (95% CI)Hazard Ratio (95% CI)OVERALLITT population170 / 32828.2 (23.7 - 33.9)123 / 16514.8 (11.2 - 19.2)0.52 (0.42 - 0.66)TR population93 / 20138.7 (31.1 - NR)71 / 9416.5 (11.7 - 23.1)0.45 (0.33 - 0.61)Any Gene AlterationDetected83 / 16634.1 (27.2 - 40.0)62 / 7914.9 (11.0 - 23.1)0.47 (0.34 - 0.66)Not detected10 / 35NR (36.4 - NR)9 / 1519.2 (9.40 - NR)0.31 (0.13 - 0.78)TP53Detected29 / 5327.0 (14.1 - NR)19 / 2315.4 (5.7 - 30.4)0.53 (0.30 - 0.95)Not detected64 / 14839.9 (34.1 - NR)52 / 7117.5 (11.7 - 24.2)0.42 (0.29 - 0.60)EGFRDetected10 / 26NR (32.4 - NR)16 / 1710.9 (2.1 - 24.7)0.20 (0.09 - 0.47)Not detected83 / 17536.4 (27.7 - NR)55 / 7717.6 (14.6 - 25.5)0.52 (0.37 - 0.73)FGFR1Detected15 / 2532.8 (10.1 - NR)10 / 117.6 (1.9 - 15.4)0.37 (0.16 - 0.85)Not detected78 / 17639.9 (31.1 - NR)61 / 8319.2 (14.6 - 26.5)0.45 (0.32 - 0.63)NF1Detected10 / 2435.9 (27 - NR)8 / 1014.6 (1.6 - 33.4)0.33 (0.13 - 0.84)Not detected83 / 17738.7 (30.8 - NR)63 / 8417.5 (11.7 - 24.2)0.47 (0.33 - 0.65)MYCDetected11 / 1720.1 (5.5 - NR)9 / 106.5 (1.2 - 15.7)0.33 (0.13 - 0.86)Not detected82 / 18438.9 (32.9 - NR)62 / 8419.2 (14.6 - 26.5)0.45 (0.32 - 0.63)CCND1Detected8 / 1632.8 (5.5 - NR)10 / 107.2 (3.6 - 9.0)0.28 (0.10 - 0.77)Not detected85 / 18538.7 (31.1 - NR)61 / 8417.6 (14.6 - 25.5)0.48 (0.34 - 0.67)n = number of patients with events; N = total number of patients in the corresponding population and treatment arm; NR = not reached. TR population consists of patients in the ITT population from whom a valid baseline ctDNA result has been obtained. Citation Format: Matthew P Goetz, J. Thaddeus Beck, Mario Campone, Sara Hurvitz, Seock-Ah Im, Stephen Johnston, Antonio Llombart-Cussac, Miguel Martin, Joohyuk Sohn, Masakazu Toi, Lacey M Litchfield, Hillary T Graham, Hong Wang, Sameera R Wijayawardana, Valerie M Jansen, Angelo Di Leo. Efficacy of abemaciclib based on genomic alterations detected in baseline circulating tumor DNA from the MONARCH 3 study of abemaciclib plus nonsteroidal aromatase inhibitor [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 PD2-06.

Liver transplantation for cholangiocarcinoma has been an absolute contraindication worldwide due to poor results. However, in recent years and thanks to improvements of patient management and treatments of this cancer, this indication has been revisited. This consensus paper, approved by the International Liver Transplant Society, aims to provide a collection of expert opinions, consensus, and best practices surrounding liver transplantation for cholangiocarcinoma.

INTRODUCTION The cerebral cortex underlies our complex cognitive capabilities. Variations in human cortical surface area and thickness are associated with neurological, psychological, and behavioral traits and can be measured in vivo by magnetic resonance imaging (MRI). Studies in model organisms have identified genes that influence cortical structure, but little is known about common genetic variants that affect human cortical structure. RATIONALE To identify genetic variants associated with human cortical structure at both global and regional levels, we conducted a genome-wide association meta-analysis of brain MRI data from 51,665 individuals across 60 cohorts. We analyzed the surface area and average thickness of the whole cortex and 34 cortical regions with known functional specializations. RESULTS We identified 369 nominally genome-wide significant loci ( P < 5 × 10 −8 ) associated with cortical structure in a discovery sample of 33,992 participants of European ancestry. Of the 360 loci for which replication data were available, 241 loci influencing surface area and 66 influencing thickness remained significant after replication, with 237 loci passing multiple testing correction ( P < 8.3 × 10 −10 ; 187 influencing surface area and 50 influencing thickness). Common genetic variants explained 34% (SE = 3%) of the variation in total surface area and 26% (SE = 2%) in average thickness; surface area and thickness showed a negative genetic correlation ( r G = −0.32, SE = 0.05, P = 6.5 × 10 −12 ), which suggests that genetic influences have opposing effects on surface area and thickness. Bioinformatic analyses showed that total surface area is influenced by genetic variants that alter gene regulatory activity in neural progenitor cells during fetal development. By contrast, average thickness is influenced by active regulatory elements in adult brain samples, which may reflect processes that occur after mid-fetal development, such as myelination, branching, or pruning. When considered together, these results support the radial unit hypothesis that different developmental mechanisms promote surface area expansion and increases in thickness. To identify specific genetic influences on individual cortical regions, we controlled for global measures (total surface area or average thickness) in the regional analyses. After multiple testing correction, we identified 175 loci that influence regional surface area and 46 that influence regional thickness. Loci that affect regional surface area cluster near genes involved in the Wnt signaling pathway, which is known to influence areal identity. We observed significant positive genetic correlations and evidence of bidirectional causation of total surface area with both general cognitive functioning and educational attainment. We found additional positive genetic correlations between total surface area and Parkinson’s disease but did not find evidence of causation. Negative genetic correlations were evident between total surface area and insomnia, attention deficit hyperactivity disorder, depressive symptoms, major depressive disorder, and neuroticism. CONCLUSION This large-scale collaborative work enhances our understanding of the genetic architecture of the human cerebral cortex and its regional patterning. The highly polygenic architecture of the cortex suggests that distinct genes are involved in the development of specific cortical areas. Moreover, we find evidence that brain structure is a key phenotype along the causal pathway that leads from genetic variation to differences in general cognitive function. Identifying genetic influences on human cortical structure. ( A ) Measurement of cortical surface area and thickness from MRI. ( B ) Genomic locations of common genetic variants that influence global and regional cortical structure. ( C ) Our results support the radial unit hypothesis that the expansion of cortical surface area is driven by proliferating neural progenitor cells. ( D ) Cortical surface area shows genetic correlation with psychiatric and cognitive traits. Error bars indicate SE. IMAGE CREDITS: (A) K. COURTNEY; (C) M. R. GLASS

7514 Background: Relapse is expected in treated indolent lymphoma patients, and an unmet need exists to prolong remission with effective therapies. Lenalidomide + rituximab (R2) may improve the efficacy of next treatment by their unique mechanisms. Methods: The AUGMENT phase III study evaluated patients with R/R FL gr 1-3a (82%) and MZL (18%) after ≥ 1 prior systemic therapy (not rituximab refractory). Randomization was 1:1 to R2 (lenalidomide PO 20 mg/d, d1-21/28 X12 cycles [c] + rituximab [R] IV 375 mg/m2/wk, c1, d1, 8, 15, 22 and c2-5, d1) and R/placebo (same dosing schedule). The primary endpoint was PFS by 2007 IWG; secondary/exploratory analyses were time to next antilymphoma/chemotherapy treatment (TTNLT/TTNCT) and response to next treatment. Per regulatory guidance, PFS2 was defined as time from randomization to first PD or death from any cause after next antilymphoma treatment, or initiation of a third antilymphoma treatment. Results: Median PFS was superior for R2 over R/placebo (39.4 vs 14.1 mo; HR = 0.46; P < 0.0001). As of 22June2018, median TTNLT, TTNCT, and PFS2 were not reached for R2, and were significantly longer than R/placebo (HR = 0.54, 0.50, and 0.52, respectively). For 49/178 (28%) R2 and 80/180 (44%) R/placebo patients receiving next antilymphoma therapy, response was generally higher with R2 (57% ORR; 31% CR) than R/placebo (36% ORR; 16% CR; Table). Conclusions: These analyses suggest that R2 (vs R/placebo) prolonged time to subsequent treatment and is associated with longer PFS2, enabling greater response to next therapy. Although patient numbers were modest, it is hypothesized that patients who received R2 were generally more sensitive to subsequent therapy than those treated with R/placebo. Clinical trial information: NCT01938001. [Table: see text]

8523 Background: ISIS 481464 is a synthetic bicyclic nucleic acid-containing antisense oligonucleotide that is complementary to the mRNA for signal transducer and activator of transcription 3 (STAT3). Methods: Primary objective of the dose-escalation study (3+3 design) was to establish the maximum tolerated dose (MTD) and recommended phase II dose (RP2D). Secondary objectives included safety, tumor response, pharmacokinetics (PK), and pharmacodynamics (PD) using IL-6 and tumor markers. Patient (pt) eligibility included : >18 yrs old, solid tumors or lymphomas refractory to at least 1 prior systemic therapy. ISIS 481464 was administered IV as a loading dose on Days 1, 3, and 5 and then weekly. Results: 15 pts were dosed (4 at 2 mg/kg and 11 at 4 mg/kg). 6 pts had advanced lymphoma (3 DLBCL, 2 Hodgkin’s lymphoma, 1 mantle cell lymphoma) and 9 pts solid tumors. There was one dose limiting toxicity (DLT), a possibly related thrombotic microangiopathy at 4 mg/kg. Treatment emergent thrombocytopenia was observed with an average reduction of approximately 70% from baseline. Three pts, 1 at 2 mg/kg and 2 at 4 mg/kg, experienced nadirs in platelet count below 50x109/L (range 16 to 33x109/L). MTD was not reached; however, given the thrombocytopenia at 4mg/kg, the RP2D was 2mg/kg. Partial responses were observed in 2/3 DLBCL pts. The 1st DLBCL pt (2 mg/kg) with 10 prior treatments had a durable 55% reduction in tumor size and is ongoing treatment at 11 months. This pt had a 76% reduction in IL-6. The 2nd DLBCL pt (4 mg/kg) with 2 prior treatments had a 65% reduction for 4 months and was able to undergo autologous stem cell transplantation. There were no responses in the solid tumor pts. PKs revealed increased plasma trough levels (indicative of tissue concentrations) with increased dose. Conclusions: ISIS 481462 was well-tolerated and the RP2D was determined to be 2 mg/kg. Initial tumor activity was observed in DLBCL pts and a dose expansion in advanced lymphomas is ongoing. Clinical trial information: NCT01563302.

e17017 Background: Epigenetic up-regulation of EBV and cellular genes via demethylation and histone deacetylase inhibition can induce EBV lytic replication enhancing immune mediated tumor killing and up-regulation of tumor suppressor genes resulting in tumor apoptosis. Methods: Patients (Pt) with relapsed or refractory NPC and NK-T cell lymphomas were enrolled to determine safety, tolerability, pharmacokinetics (PK), pharmacodynamics and preliminary anti-tumor activity using a dose escalation design. 5AC was administered on days 1 to 10 sub-cutaneously while SAHA was administered on days 1 to 14 orally. PK for SAHA, EBV viral load, characterization of circulating EBV, Immunohistochemistry (IHC) and EBV promoter methylation analysis in tumor tissue were performed. Results: 11 pt have been treated (M:F 8:3, median age 48, R: 35-71) at 3 dose levels – 5AC 50 mg/m2 and SAHA 200 mg b.i.d. (dose level 1), 5AC 37.5 mg/m2 and SAHA 200 mg q. am and 100 mg q. pm (dose level 2), and 5AC 25 mg/m2 and SAHA 100 mg b.i.d (dose level 3). Median number of previous treatment regimens was 3 (R:1-6). Dose limiting toxicities (DLT) were seen in 2/2 pts at dose level 1: grade 4 thrombocytopenia (1 pt), grade 3 nausea, vomiting and fatigue (2 pts), and grade 5 hepatic failure (1 pt). Two of six patients at dose level 2 experienced DLT: grade 3 fatigue (1 pt) and worsening of pre-existing Sweet’s Syndrome (1 pt). Common AEs (G1/2) included fatigue (73%), cough (64%), anorexia (55%), and injection site reaction (45%). One minor response was seen and 5 pt had prolonged stable disease (>16 weeks), including one patient for 88 weeks. Analysis of post-treatment tumor biopsies showed demethylation of EBV lytic cycle gene promoters after treatment. SAHA PK, IHC results for EBV gene expression in tumor tissue, EBV viral load and characterization of circulating EBV will be presented. Conclusions: 5AC/SAHA appears to be tolerable at dose level 3 with suggestion of clinical benefit. Analysis of post-treatment tumor and blood samples suggests that modulation of EBV gene expression may play a role in the mechanism underlying clinical benefit. Continued accrual at dose level 3 is ongoing. Clinical trial information: NCT00336063.

Background and Aims The Organ Procurement and Transplantation Network recently approved liver transplant (LT) prioritization for patients with hepatocellular carcinoma (HCC) beyond Milan Criteria (MC) who are down‐staged (DS) with locoregional therapy (LRT). We evaluated post‐LT outcomes, predictors of down‐staging, and the impact of LRT in patients with beyond‐MC HCC from the U.S. Multicenter HCC Transplant Consortium (20 centers, 2002‐2013). Approach and Results Clinicopathologic characteristics, overall survival (OS), recurrence‐free survival (RFS), and HCC recurrence (HCC‐R) were compared between patients within MC (n = 3,570) and beyond MC (n = 789) who were down‐staged (DS, n = 465), treated with LRT and not down‐staged (LRT‐NoDS, n = 242), or untreated (NoLRT‐NoDS, n = 82). Five‐year post‐LT OS and RFS was higher in MC (71.3% and 68.2%) compared with DS (64.3% and 59.5%) and was lowest in NoDS (n = 324; 60.2% and 53.8%; overall P < 0.001). DS patients had superior RFS (60% vs. 54%, P = 0.043) and lower 5‐year HCC‐R (18% vs. 32%, P < 0.001) compared with NoDS, with further stratification by maximum radiologic tumor diameter (5‐year HCC‐R of 15.5% in DS/<5 cm and 39.1% in NoDS/>5 cm, P < 0.001). Multivariate predictors of down‐staging included alpha‐fetoprotein response to LRT, pathologic tumor number and size, and wait time >12 months. LRT‐NoDS had greater HCC‐R compared with NoLRT‐NoDS (34.1% vs. 26.1%, P < 0.001), even after controlling for clinicopathologic variables (hazard ratio [HR] = 2.33, P < 0.001) and inverse probability of treatment‐weighted propensity matching (HR = 1.82, P < 0.001). Conclusions In LT recipients with HCC presenting beyond MC, successful down‐staging is predicted by wait time, alpha‐fetoprotein response to LRT, and tumor burden and results in excellent post‐LT outcomes, justifying expansion of LT criteria. In LRT‐NoDS patients, higher HCC‐R compared with NoLRT‐NoDS cannot be explained by clinicopathologic differences, suggesting a potentially aggravating role of LRT in patients with poor tumor biology that warrants further investigation.