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Cholangiocarcinoma (CCA) is a heterogenous group of malignancies originating in the biliary tree, and associated with poor prognosis. Until recently, treatment options have been limited to surgical resection, liver-directed therapies, and chemotherapy. Identification of actionable genomic alterations with biomarker testing has revolutionized the treatment paradigm for these patients. However, several challenges exist to the seamless adoption of precision medicine in patients with CCA, relating to a lack of awareness of the importance of biomarker testing, hurdles in tissue acquisition, and ineffective collaboration among the multidisciplinary team (MDT). To identify gaps in standard practices and define best practices, multidisciplinary hepatobiliary teams from the University of California (UC) Davis and UC Irvine were convened; discussions of the meeting, including optimal approaches to tissue acquisition for diagnosis and biomarker testing, communication among academic and community healthcare teams, and physician education regarding biomarker testing, are summarized in this review.

PURPOSECurrent tools in predicting survival outcomes for patients with colon cancer predominantly rely on clinical and pathologic characteristics, but increasing evidence suggests that diet and lifestyle habits are associated with patient outcomes and should be considered to enhance model accuracy.METHODSUsing an adjuvant chemotherapy trial for stage III colon cancer (CALGB 89803), we developed prediction models of disease-free survival (DFS) and overall survival by additionally incorporating self-reported nine diet and lifestyle factors. Both models were assessed by multivariable Cox proportional hazards regression and externally validated using another trial for stage III colon cancer (CALGB/SWOG 80702), and visual nomograms of prediction models were constructed accordingly. We also proposed three hypothetical scenarios for patients with (1) good-risk, (2) average-risk, and (3) poor-risk clinical and pathologic features, and estimated their predictive survival by considering clinical and pathologic features with or without adding self-reported diet and lifestyle factors.RESULTSAmong 1,024 patients (median age 60.0 years, 43.8% female), we observed 394 DFS events and 311 deaths after median follow-up of 7.3 years. Adding self-reported diet and lifestyle factors to clinical and pathologic characteristics meaningfully improved performance of prediction models (c-index from 0.64 [95% CI, 0.62 to 0.67] to 0.69 [95% CI, 0.67 to 0.72] for DFS, and from 0.67 [95% CI, 0.64 to 0.70] to 0.71 [95% CI, 0.69 to 0.75] for overall survival). External validation also indicated good performance of discrimination and calibration. Adding most self-reported favorable diet and lifestyle exposures to multivariate modeling improved 5-year DFS of all patients and by 6.3% for good-risk, 21.4% for average-risk, and 42.6% for poor-risk clinical and pathologic features.CONCLUSIONDiet and lifestyle factors further inform current recurrence and survival prediction models for patients with stage III colon cancer.

Abstract Introduction The National Institute on Aging Late‐Onset Alzheimer's Disease Family Based Study (NIA‐LOAD FBS) was established to study the genetic etiology of Alzheimer's disease (AD). Methods Recruitment focused on families with two living affected siblings and a third first‐degree relative similar in age with or without dementia. Uniform assessments were completed, DNA was obtained, as was neuropathology, when possible. Apolipoprotein E ( APOE ) genotypes, genome‐wide single nucleotide polymorphism (SNP) arrays, and sequencing was completed in most families. Results APOE genotype modified the age‐at‐onset in many large families. Novel variants and known variants associated with early‐ and late‐onset AD and frontotemporal dementia were identified supporting an international effort to solve AD genetics. Discussion The NIA‐LOAD FBS is the largest collection of familial AD worldwide, and data or samples have been included in 123 publications addressing the genetic etiology of AD. Genetic heterogeneity and variability in the age‐at‐onset provides opportunities to investigate the complexity of familial AD.

Abstract Background: SUMOylation, a post-translational modification analogous to ubiquitination, attaches a small, ubiquitin-like modifier (SUMO) to target proteins. SUMOylation plays a central role in the immune system by regulating type I interferon (IFN-I) expression, thereby functioning to constrain the innate immune response (Decque Nat Immunol 2016), and limit tumor immune surveillance. The SUMOylation pathway is often overexpressed in multiple myeloma (MM) and is associated with poor outcomes (Driscoll Blood 2010). TAK-981 is a first-in-class, small-molecule inhibitor of SUMO-activating enzyme, which blocks the SUMOylation cascade (Langston J Med Chem 2021) and increases IFN-I production and signaling in innate immune cells (Nakamura AACR 2019). In ex vivo assays, TAK-981 activated the IFN-I pathway, increased phagocytic activity of monocyte-derived macrophages, and increased natural killer (NK) cell cytotoxicity via IFN-I signaling (Nakamura AACR 2019). The ability of TAK-981 to promote activation of macrophages and NK cells provides a mechanistic rationale for its use in combination with monoclonal antibodies (mAbs) reliant on antibody-dependent cellular cytotoxicity and phagocytosis; in vivo experiments have demonstrated synergistic activity between TAK-981 and rituximab, and between TAK-981 and the anti-CD38 mAbs daratumumab (dara) (Nakamura SITC 2020) or mezagitamab (meza; TAK-079; Figure 1). Patients with MM who have disease refractory to the three most effective classes of anti-myeloma therapies (proteasome inhibitors [PIs], immunomodulatory drugs [IMiDs], and anti-CD38 mAbs) have a poor prognosis, with median survival 9.2 months (Gandhi Leukemia 2019). Given the incurable nature of advanced MM and the highly complex mechanisms of resistance, continued efforts to better understand MM biology at the time of relapse and to translate this into effective treatment combinations are needed. Combination therapies that engage the immune system to treat MM may offer substantial clinical benefit. Methods: To be eligible for this multicenter, open-label, Phase 1b/2 trial (NCT04776018), patients must have failed at least 3 prior lines of anti-myeloma therapy, have MM disease that is triple-class refractory (defined as refractory/intolerant to ≥1 PI and ≥1 IMiD, and refractory to ≥1 anti-CD38 mAb), and have demonstrated disease progression on their last therapy. Prior CAR-T therapy is allowed. Patients will be assigned to TAK-981 plus subcutaneous (SC) meza (Phase 1 Part 1) or SC dara (dara and hyaluronidase-fihj; Phase 1 Part 2). The primary objectives of Phase 1b are to determine safety and tolerability, and to select the recommended Phase 2 dose (RP2D) and schedule for TAK-981 with each mAb; secondary objectives are to evaluate preliminary antitumor activity, to characterize TAK-981 pharmacokinetics (PK), and to explore pharmacodynamic (PD) markers of TAK-981 target engagement and SUMOylation pathway inhibition. Approximately 30 patients will participate in the Phase 1b Part 1 dose escalation of TAK-981 plus meza (~15 patients per dosing schedule), and ~15 patients will participate in the Phase 1b Part 2 dose escalation of TAK-981 plus SC dara. The primary objective of Phase 2 is to evaluate the efficacy of TAK-981 at the RP2D in combination with an anti-CD38 mAb; ~36 patients will be enrolled. In Phase 1b, patients will receive TAK-981 via a 1-hour intravenous infusion either on days 1, 4, 8, 11, and 15 (twice weekly; BIW) or on days, 1, 8, 15, and 22 (weekly; QW) for 2x 28-day cycles, then 8x every other week, then monthly. Meza 600 mg SC or dara 1800 mg SC will be given 8x weekly, 8x every other week, then monthly, in a 28-day cycle (Figure 2). Treatment will continue until disease progression or unacceptable toxicity (max. 24 cycles). TAK-981 dose escalation will proceed from 60 mg BIW, a dose shown to be pharmacologically active in a first-in-human, single-agent TAK-981 study (TAK-981-1002; data on file). Dose escalation will be guided by Bayesian Optimal Internal Design with Informative Prior (iBOIN) plus consideration of other safety, clinical, PK, and PD data. The iBOIN design selects the true maximum tolerated dose (if any) with high accuracy by allocating more patients to dose levels with a prior dose-limiting toxicity probability closest to the target of 0.3. This study is currently enrolling patients, with the first patient dosed in May 2021. Figure 1 Figure 1. Disclosures Lonial: AMGEN: Consultancy, Honoraria; Takeda: Consultancy, Honoraria, Research Funding; Janssen: Consultancy, Honoraria, Research Funding; GlaxoSmithKline: Consultancy, Honoraria, Research Funding; TG Therapeutics: Membership on an entity's Board of Directors or advisory committees; BMS/Celgene: Consultancy, Honoraria, Research Funding; Merck: Honoraria; Abbvie: Consultancy, Honoraria. Boccia: BMS: Consultancy, Honoraria, Research Funding, Speakers Bureau; Janssen: Consultancy, Honoraria, Speakers Bureau; Abbvie: Consultancy, Honoraria, Speakers Bureau; Takeda: Honoraria, Research Funding, Speakers Bureau; Amgen: Research Funding, Speakers Bureau; Epizyme: Honoraria, Speakers Bureau; Morphosis: Honoraria, Speakers Bureau. Yimer: Beigene: Speakers Bureau; Astrazeneca: Speakers Bureau; Karyopharm: Current equity holder in publicly-traded company, Speakers Bureau; Janssen: Speakers Bureau; GSK: Speakers Bureau; Sanofi: Speakers Bureau; Amgen: Speakers Bureau; Pharmacyclics: Speakers Bureau; Texas Oncology: Current Employment. Levy: Jazz Pharmaceuticals: Consultancy, Honoraria, Speakers Bureau; Morphosys: Consultancy, Honoraria, Other: Promotional speaker, Speakers Bureau; Karyopharm: Consultancy, Honoraria, Other: Promotional speaker, Speakers Bureau; Dova: Consultancy, Other: Promotional speaker; Janssen Pharmaceuticals: Consultancy, Honoraria, Other: Promotional speaker, Speakers Bureau; Amgen Inc.: Consultancy, Honoraria, Other: Promotional speaker, Speakers Bureau; GSK: Consultancy, Other: Promotional speaker; Epizyme: Consultancy, Other: Promotional speaker; Novartis: Consultancy, Other: Promotional speaker; AbbVie: Consultancy, Honoraria, Other: Promotional speaker, Speakers Bureau; Beigene: Consultancy, Honoraria, Speakers Bureau; Bristol Myers Squibb: Consultancy, Honoraria, Other: Promotional speaker, Speakers Bureau; AstraZeneca: Consultancy, Honoraria, Speakers Bureau; Gilead Sciences, Inc.: Consultancy, Honoraria, Speakers Bureau; Seattle Genetics: Consultancy, Honoraria, Other: Promotional speaker, Speakers Bureau; Takeda: Consultancy, Honoraria, Other: Promotional speaker, Speakers Bureau; TG Therapeutics: Consultancy, Honoraria, Speakers Bureau. Abonour: Takeda: Research Funding; GSK: Consultancy, Honoraria, Research Funding; Celgene-BMS: Membership on an entity's Board of Directors or advisory committees, Research Funding; Jensen: Honoraria, Research Funding. Mohan: Medical College of Wisconsin: Current Employment. Girnius: BMS: Honoraria, Speakers Bureau; Celgene: Speakers Bureau; Genentech: Honoraria; GSK: Honoraria, Speakers Bureau; Takeda: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Beigene: Speakers Bureau. Rosenbaum: Takeda: Honoraria; Akcea: Honoraria; Janssen: Honoraria. Nadeem: Karyopharm: Membership on an entity's Board of Directors or advisory committees; BMS: Membership on an entity's Board of Directors or advisory committees; Adaptive Biotechnologies: Membership on an entity's Board of Directors or advisory committees; Takeda: Membership on an entity's Board of Directors or advisory committees; GSK: Membership on an entity's Board of Directors or advisory committees. Berg: Takeda: Current Employment, Current equity holder in publicly-traded company, Current holder of stock options in a privately-held company. Chao: Takeda: Current Employment. Berger: Takeda Development Center Americas, Inc.: Current Employment. Nakamura: Takeda Development Center Americas, Inc.: Current Employment. Zhang: Takeda: Current Employment. Song: Takeda Pharmaceuticals International Co.: Current Employment. Ward: Takeda: Current Employment. Proscurshim: Takeda Pharmaceuticals: Current Employment, Current holder of individual stocks in a privately-held company. Kumar: Novartis: Research Funding; Tenebio: Research Funding; Janssen: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Antengene: Consultancy, Honoraria; Takeda: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Roche-Genentech: Consultancy, Research Funding; Astra-Zeneca: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Abbvie: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; BMS: Consultancy, Research Funding; Beigene: Consultancy; Bluebird Bio: Consultancy; KITE: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Merck: Research Funding; Oncopeptides: Consultancy; Amgen: Consultancy, Research Funding; Carsgen: Research Funding; Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding; Adaptive: Membership on an entity's Board of Directors or advisory committees, Research Funding; Sanofi: Research Funding. OffLabel Disclosure: Study of the investigational agent TAK-981 in combination with daratumumab and hyaluronidase-fihj or the investigational agent mezagitamab (TAK-079).

AbstractLiposomal irinotecan is a liposomal formulation of irinotecan, which prolongs circulation of irinotecan and its active metabolite SN‐38. A population pharmacokinetic (PK) model was developed based on data from seven studies (N = 440). Adequacy of the model was assessed using multiple methods, including visual predictive check. Associations between PK exposure and the incidence of diarrhea (grade ≥3) and neutropenia adverse events (AEs) (grade ≥3) at first event in patients with metastatic pancreatic ductal adenocarcinoma (mPDAC) were investigated using logistic regression based on data from two studies (the phase III NAPOLI‐1 [N = 260] and phase I/II NCT02551991 [N = 56] trials). The PKs of total irinotecan was described by a two‐compartment model with first‐order elimination, with SN‐38 formed directly by a first‐order constant from the central compartment of irinotecan or after using a transit compartment. Clearance was 17.9 L/week (0.107 L/h) and 19,800 L/week (118 L/h) for total irinotecan and SN‐38, respectively. The UGT1A1*28 7/7 homozygous genotype had no significant impact on SN‐38 clearance. Model evaluation was satisfactory for both irinotecan and SN‐38. The incidence of diarrhea (grade ≥3) at first event was significantly higher with increasing average concentrations of total irinotecan and SN‐38; there was no significant association between an increased risk of neutropenia AEs (grade ≥3) at first event and average SN‐38 concentrations. In summary, the PKs of total irinotecan and SN‐38 after administration of liposomal irinotecan were well‐described by the model. The UGT1A1*28 status had no significant impact on the PKs of liposomal irinotecan.

PURPOSETo determine the contribution of germline pathogenic variants (PVs) in hereditary cancer testing panel genes to invasive lobular carcinoma (ILC) of the breast.MATERIALS AND METHODSThe study included 2,999 women with ILC from a population-based cohort and 3,796 women with ILC undergoing clinical multigene panel testing (clinical cohort). Frequencies of germline PVs in breast cancer predisposition genes ( ATM, BARD1, BRCA1, BRCA2, BRIP1, CDH1, CHEK2, PALB2, PTEN, RAD51C, RAD51D, and TP53) were compared between women with ILC and unaffected female controls and between women with ILC and infiltrating ductal carcinoma (IDC).RESULTSThe frequency of PVs in breast cancer predisposition genes among women with ILC was 6.5% in the clinical cohort and 5.2% in the population-based cohort. In case-control analysis, CDH1 and BRCA2 PVs were associated with high risks of ILC (odds ratio [OR] > 4) and CHEK2, ATM, and PALB2 PVs were associated with moderate (OR = 2-4) risks. BRCA1 PVs and CHEK2 p.Ile157Thr were not associated with clinically relevant risks (OR < 2) of ILC. Compared with IDC, CDH1 PVs were > 10-fold enriched, whereas PVs in BRCA1 were substantially reduced in ILC.CONCLUSIONThe study establishes that PVs in ATM, BRCA2, CDH1, CHEK2, and PALB2 are associated with an increased risk of ILC, whereas BRCA1 PVs are not. The similar overall PV frequencies for ILC and IDC suggest that cancer histology should not influence the decision to proceed with genetic testing. Similar to IDC, multigene panel testing may be appropriate for women with ILC, but CDH1 should be specifically discussed because of low prevalence and gastric cancer risk.