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BackgroundHeavy alcohol consumption disrupts gut epithelial integrity, leading to increased permeability of the gastrointestinal tract and subsequent translocation of microbes. Regenerating islet‐derived protein 3α (REG3α) and Trefoil factor 3 (TFF3) are mainly secreted to the gut lumen by Paneth and Goblet cells, respectively, and are functionally linked to gut barrier integrity. Circulating levels of REG3α and TFF3 have been identified as biomarkers for gut damage in several human diseases. We examined whether plasma levels of REG3α and TFF3 were dysregulated and correlated with conventional markers of microbial translocation (MT) and pro‐inflammatory mediators in heavy drinkers with and without alcoholic hepatitis (AH).MethodsCross‐sectional and longitudinal studies were performed to monitor plasma levels of REG3α and TFF3 in 79 AH patients, 66 heavy drinkers without liver disease (HDC), and 46 healthy controls (HC) at enrollment and at 6‐ and 12‐month follow‐ups. Spearman correlation was used to measure the relationships of REG3α and TFF3 levels with MT, disease severity, inflammation, and effects of abstinence from alcohol.ResultsAt enrollment, AH patients had significantly higher levels of REG3α and TFF3 than HDC and HC. The elevated REG3α levels were positively correlated with the 30‐day fatality rate. Plasma levels of REG3α and TFF3 in AH patients differentially correlated with conventional MT markers (sCD14, sCD163, and LBP) and several highly up‐regulated inflammatory cytokines/chemokines/growth factors. At follow‐ups, although REG3α and TFF3 levels were decreased in AH patients with alcohol abstinence, they did not fully return to baseline levels.ConclusionsCirculating levels of REG3α and TFF3 were highly elevated in AH patients and differentially correlated with AH disease severity, MT, and inflammation, thereby serving as potential biomarkers of MT and gut epithelial damage in AH patients.

Abstract Background: Young age at diagnosis is an independent risk factor for recurrence and death from breast cancer (BC), with the greatest impact of young age demonstrated in hormone receptor positive (HR+) disease. Younger women are less likely to be adherent to endocrine therapy (ET), which may contribute to disparate outcomes. Methods: As part of a prospective cohort that enrolled women with BC diagnosed at age ≤40 between 2006-2016, we identified women with HR+, Stage I-III BC. Serial surveys with items assessing socio-demographic and treatment information including medication use are administered 1-2 times per year. Medical record review was used to ascertain stage and HR status and to confirm recurrent disease (locoregional, distant, or new primary breast cancer). Women who initiated ET but discontinued it <5-years post-diagnosis without resumption were classified as non-persistent. Univariable and multivariable regression models were fit to identify predictors of non-persistence and recurrence.Results: Among 607 women who initiated ET (median age at diagnosis: 36, range:17-40; 38%, 45%, 17% were Stage 1, 2, and 3, respectively).16% (99/607) were non-persistent, of whom 30% (30/99) discontinued ET ≤2 years post-diagnosis and over half had discontinued (54%, 54/99) by 3 years. In multivariable regression, those who were younger at diagnosis (age ≤30 vs. 36-40: OR: 3.39, 95% CI: 1.84-6.24; age 31-36 vs. 36-40: OR: 2.81 95% CI: 1.70-4.64) were more likely to discontinue ET while those with a higher stage at diagnosis were less likely to discontinue ET (Stage 2 vs. 1: OR: 0.46, 95% CI: 0.29-0.74; Stage 3 vs 1: OR: 0.32, 95% CI: 0.15-0.68). At a median follow-up time from diagnosis of 7.8 years (range 1-13 years), 15% of women (88/607) recurred or developed a new primary BC at a median time from diagnosis of 3.5 years (range 1-12 years). Of these, 66% (58/88) were distant recurrences, 32% (28/88) loco-regional, and 2% (2/88) new primary BCs. Rates of recurrence were higher among women who were persistent (81/508, 16%) vs. non-persistent (7/99, 7%, p=0.02). In multivariable regression, those who were non-persistent were less likely to recur (OR: 0.43, 95% CI: 0.19-0.98) while those with a higher stage were more likely to recur (Stage 3 vs. 1: OR: 2.36, 95% CI: 1.03-5.41). Sociodemographic, patient, and other treatment factors did not predict recurrence. Conclusions: Approximately 16% of young women with HR+ BC stop ET earlier than indicated, however non-persistence was not a risk factor for BC recurrence a median of 8 years following diagnosis in our cohort. Importantly, women with higher risk disease who are likely to benefit most from adherence to ET were less likely to discontinue treatment. Extended follow-up will further inform the impact of non-persistence on the incidence of late recurrences for which women with HR+ BC are at increased risk. Citation Format: Shoshana M Rosenberg, Yue Zheng, Philip Poorvu, Kathryn Ruddy, Rachel Gaither, Rulla Tamimi, Lidia Schapira, Jeffrey Peppercorn, Steven Come, Virginia Borges, Ann Partridge. Endocrine therapy non-persistence and recurrence in young women with early stage breast cancer [abstract]. In: Proceedings of the 2020 San Antonio Breast Cancer Virtual Symposium; 2020 Dec 8-11; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2021;81(4 Suppl):Abstract nr PD2-08.

Abstract Germline variation and smoking are independently associated with pancreatic ductal adenocarcinoma (PDAC). We conducted genome-wide smoking interaction analysis of PDAC using genotype data from four previous genome-wide association studies in individuals of European ancestry (7,937 cases and 11,774 controls). Examination of expression quantitative trait loci data from the Genotype-Tissue Expression Project followed by colocalization analysis was conducted to determine whether there was support for common SNP(s) underlying the observed associations. Statistical tests were two sided and P < 5 × 10–8 was considered statistically significant. Genome-wide significant evidence of qualitative interaction was identified on chr2q21.3 in intron 5 of the transmembrane protein 163 (TMEM163) and upstream of the cyclin T2 (CCNT2). The most significant SNP using the Empirical Bayes method, in this region that included 45 significantly associated SNPs, was rs1818613 [per allele OR in never smokers 0.87, 95% confidence interval (CI), 0.82–0.93; former smokers 1.00, 95% CI, 0.91–1.07; current smokers 1.25, 95% CI 1.12–1.40, Pinteraction = 3.08 × 10–9). Examination of the Genotype-Tissue Expression Project data demonstrated an expression quantitative trait locus in this region for TMEM163 and CCNT2 in several tissue types. Colocalization analysis supported a shared SNP, rs842357, in high linkage disequilibrium with rs1818613 (r2 = 0. 94) driving both the observed interaction and the expression quantitative trait loci signals. Future studies are needed to confirm and understand the differential biologic mechanisms by smoking status that contribute to our PDAC findings. Significance: This large genome-wide interaction study identifies a susceptibility locus on 2q21.3 that significantly modified PDAC risk by smoking status, providing insight into smoking-associated PDAC, with implications for prevention.

Background: Here we describe an online network of patients with cancer, clinicians and researchers, layered on top of a comprehensive real world database of treatments and outcomes, continuously updated in near real time, and initially focused on multiple myeloma. Methods: Patients with multiple myeloma register at www.all4cure.com and sign HIPAA release forms to provide access to all of their medical records from all of the institutions from which they have received care. From the medical records, a structured dataset of treatments and lab results is extracted by a myeloma-dedicated team for display on each patient's de-identified, personalized dashboard. A discussion panel allows more than 1200 participating patients, clinicians and researchers to post comments or questions regarding each patient's specific circumstances. For each patient, lines of therapy and responses are determined according to IMWG and published criteria (Blood [2015] 126: 921-922). Here we report initial results from the treatments and responses among patients with multiple myeloma and plasma cell leukemia. Results: A total of 493 patients includes 26 with monoclonal gammopathy of undetermined significance (MGUS), 51 with smoldering myeloma, 408 with multiple myeloma, and 8 with primary plasma cell leukemia. Among patients with multiple myeloma, 42 (10.3%) had antecedent MGUS and/or smoldering myeloma. The average age is 65.6 (+/- 9.7). 50.9% are male and 49.1% are female. 42 states in the U.S. and 8 other countries are represented. Two patients with multiple myeloma had not started treatment by the time of this report. The remaining 414 patients with multiple myeloma or plasma cell leukemia received 1 to 16 lines of therapy. Among the 414 patients that received at least one line of therapy, a remarkable 89 distinct first line therapies were administered. The most common first line therapies were lenalidomide, bortezomib, dexamethasone (n=92), cyclophosphamide, bortezomib, dexamethasone (n=50), lenalidomide, bortezomib, dexamethasone + autologous stem cell transplant + lenalidomide maintenance (n=41), lenalidomide and dexamethasone (n=29), and bortezomib and dexamethasone (n=22). 62 patients received a first line therapy that was not received by any other patient in our database. This variation was attributable to participation in clinical trials, variation in the availability of drugs over time and different geographic locations, and the very large number of distinct combinations associated with multi-agent regimens. Seventy six percent of patients with multiple myeloma or plasma cell leukemia received a second line of therapy, 52% received a third line of therapy, 34% received a fourth line of therapy, 23% received a fifth line of therapy, and 18% received a sixth line of therapy. We observed a trend toward a decline in favorable responses with successive lines of therapy (Table 1) consistent with previous reports, with a correlation coefficient between the line of therapy and overall response rate of -0.74. Among the 76 patients who received 6 or more lines of therapy (247 lines of therapy in total), only 7 achieved stringent complete responses (sCRs), of which 5 were associated with a CAR-T therapy. Table 1 also shows a trend toward more rapid changes in treatment associated with later lines of therapy. 57 of 493 patients (12%) are deceased. Conclusions: Our findings reveal remarkable variation in the treatment of myeloma and provide a potentially valuable resource of up to date and current clinical features, prognosis, treatments, side effects, and outcomes of patients with myeloma in the real world. Table 1. Summary of lines of therapy and outcomes across 414 patients with multiple myeloma and plasma cell leukemia. The percentages of patients achieving sCR, ≥ PR (overall response rate - ORR), and ≥MR (clinical benefit rate - CBR) are shown for each line of therapy. Also depicted is the interval mortality and the mean and median number of days between the beginning of a line therapy and the beginning of the next line of therapy. Table Disclosures Richter: Janssen: Consultancy, Speakers Bureau; Celgene: Consultancy, Speakers Bureau; Sanofi: Consultancy; X4 pharmaceuticals: Consultancy; Oncopeptides: Consultancy; Adaptive biotechnologies: Consultancy; Secura bio: Consultancy; Astra Zeneca: Consultancy; BMS: Consultancy; Karyopharm: Consultancy; Antengene: Consultancy. Chhun:All4Cure: Current Employment. Zheng:All4Cure: Current Employment. Piboonvaranggoon:All4Cure: Current Employment. Mallick:All4Cure: Current Employment. Wren:All4Cure: Current Employment. Nam:All4Cure: Current Employment. Lopez Barquilla:All4Cure: Current equity holder in private company. Blau:All4Cure: Current equity holder in private company. Cowan:Janssen: Consultancy, Research Funding; Abbvie: Research Funding; Cellectar: Consultancy; Sanofi: Consultancy; Bristol Myers Squibb: Research Funding. Bensinger:BMS: Consultancy, Honoraria, Research Funding, Speakers Bureau; Sanofi: Consultancy, Honoraria, Research Funding, Speakers Bureau; Janssen: Consultancy, Honoraria, Research Funding, Speakers Bureau; Amgen: Consultancy, Honoraria, Research Funding, Speakers Bureau; GSK: Consultancy, Honoraria, Research Funding, Speakers Bureau; Regeneron: Consultancy, Honoraria, Research Funding, Speakers Bureau. Kumar:Amgen: Consultancy, Other: Research funding for clinical trials to the institution, Consulting/Advisory Board participation with no personal payments, Research Funding; Genecentrix: Consultancy; Celgene/BMS: Other: Research funding for clinical trials to the institution, Consulting/Advisory Board participation with no personal payments; Novartis: Research Funding; Merck: Consultancy, Research Funding; Janssen Oncology: Other: Research funding for clinical trials to the institution, Consulting/Advisory Board participation with no personal payments; Carsgen: Other, Research Funding; Dr. Reddy's Laboratories: Honoraria; Adaptive Biotechnologies: Consultancy; Takeda: Other: Research funding for clinical trials to the institution, Consulting/Advisory Board participation with no personal payments; AbbVie: Other: Research funding for clinical trials to the institution, Consulting/Advisory Board participation with no personal payments; MedImmune: Research Funding; Tenebio: Other, Research Funding; BMS: Consultancy, Research Funding; Karyopharm: Consultancy; Cellectar: Other; Sanofi: Research Funding; Genentech/Roche: Other: Research funding for clinical trials to the institution, Consulting/Advisory Board participation with no personal payments; Oncopeptides: Consultancy, Other: Independent Review Committee; IRC member; Kite Pharma: Consultancy, Research Funding. Richardson:Celgene/BMS, Oncopeptides, Takeda, Karyopharm: Research Funding. Anderson:Oncopep and C4 Therapeutics.: Other: Scientific Founder of Oncopep and C4 Therapeutics.; Bristol Myers Squibb: Membership on an entity's Board of Directors or advisory committees; Gilead: Membership on an entity's Board of Directors or advisory committees; Janssen: Membership on an entity's Board of Directors or advisory committees; Sanofi-Aventis: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees; Millenium-Takeda: Membership on an entity's Board of Directors or advisory committees. Blau:All4Cure: Current Employment, Current equity holder in private company.

Background: Multiple myeloma (MM) is a clonal plasma cell malignancy characterized by a complex genomic landscape with molecular and clinical heterogeneity. Venetoclax (Ven) is a selective, potent, oral BCL-2 inhibitor currently under investigation as a potential targeted therapy for the treatment of relapsed/refractory (RR) MM. Using a next-generation sequencing (NGS)-based approach, the mutational landscape and gene expression profile (GEP) of patients (pts) with RRMM in BELLINI was evaluated for potential impact on observed clinical outcomes in key biomarker subgroups. Methods: BELLINI (NCT02755597) is a randomized, double-blind, multicenter Phase 3 study of bortezomib + dexamethasone (Bd) + either Ven or placebo (Pbo) in pts with RRMM who received 1-3 prior therapies and were sensitive or naïve to proteasome inhibitors. Pts were randomized 2:1 to receive Ven 800 mg/d or Pbo + Bd. The following biomarker analyses were performed by central laboratory assessments of CD138-enriched bone marrow mononuclear cells collected at baseline: BCL2 gene expression by quantitative PCR (qPCR), cytogenetic abnormalities by interphase fluorescence in situ hybridization (FISH), identification of somatic mutations by whole-exome sequencing (WES), and transcriptomic analysis by RNA sequencing (RNAseq). Correlation between mutational status, BCL2high status (Harrison et al. Blood. 2019:134 suppl:142), cytogenetics, GEP, and survival outcomes were examined by pairwise t-test and by hazard ratio (HR) from Cox proportional hazard model. Results: As of the data cutoff (13 Sep 2019), 291 pts were randomized (194 to Ven and 97 to Pbo); 262 pts (90.0%) were evaluable by FISH, 257 pts (88.3%) by qPCR, 197 pts (67.7%) by WES, and 184 pts (63.2%) by RNAseq. The mutational landscape of evaluable pts was highly heterogeneous (Figure 1A). MAPK pathway mutations were the most prevalent (62/197 pts; 31.5%); however, recurrent mutations in the NF-kB pathway (TRAF3 or CYLD) were also observed (12/197 pts; 6.1%). Within the MAPK pathway, the most frequently mutated genes were KRAS (39/197 pts; 19.8%), NRAS (8/197 pts; 4.1%), BRAF (8/197 pts; 4.1%), and NF1 (12/197 pts; 6.1%). Although a higher rate of pts with a MAPK mutation was observed in the t(11;14) and BCL2high subgroup compared to pts without these biomarkers (39/101 pts [38.6%] vs 23/95 pts [24.2%]; P=.04), improvement in progression-free survival (PFS) with Ven+Bd was observed in pts with (HR=0.08; 95% CI, 0.02-0.31; P<.001) or without (HR, 0.31 [95% CI, 0.16-0.63]; P=.001) a MAPK pathway mutation. High somatic mutation loads are associated with increased genomic instability, resistance to therapy, and decreased overall survival (OS) in MM. High tumor mutation burden (TMB), defined as ≥20 mutations/megabase of sequenced DNA, was observed in 12/197 pts (6.1%). Although there were a limited number of high TMB pts, reduced PFS (HR, 4.55 [95% CI, 2.33-8.88]; P<.001) and OS (HR, 3.89 [95% CI, 1.76-8.56]; P<.001) compared to low TMB pts was observed regardless of treatment arm. WES detected a recurrent BCL2 mutation (Ala43Thr) in 15/197 pts (7.6%). This BCL2 mutation has not previously been identified in MM and did not appear to affect survival outcomes among pts in either arm. Supervised clustering of RNAseq data grouped pts into respective MM GEP (Zhan et al. Blood. 2006;108:2020) at the following frequencies: CD-1 (2.7%), CD-2 (8.2%), HY (40.2%), MF (1.6%), MS (10.9%), LB (5.4%), and PR (31.0%). As shown in Figure 1B, 16/20 pts (80%) allocated to the CD-1/CD-2 cluster had a t(11;14) mutation, but 17/20 pts (85%) and 2/3 pts (67%) in MS and MF GEP groups had t(4;14) or t(14;16) mutations, respectively. The HY GEP group was primarily (56/74 pts; 76%) hyperdiploid by FISH. Though a higher rate of pts with a HY GEP (50/98 pts [51.0%] vs 24/86 pts [27.9%]; P<.001) and a lower rate of PR GEP (11/98 pts [11.2%] vs 46/86 pts [53.5%]; P<.001) were observed in the t(11;14) and BCL2high subgroups compared with non-t(11;14) and BCL2low subgroups, respectively, improvement in PFS with Ven+Bd was independent of GEP classification. Conclusion: Using an integrative approach of genomic and transcriptomic profiling, response to Ven+Bd in key biomarker subgroups was shown to be independent of concurrent mutations in key oncogenic signaling pathways and GEPs known to be prognostic in MM; however, high mutation load appears to be a clinically relevant risk factor that negatively affects survival in MM. Disclosures O'Dwyer: Celgene: Other: TRAVEL, ACCOMMODATIONS, EXPENSES (paid by any for-profit health care company); BMS: Research Funding; Carrick Therapeutics: Current equity holder in publicly-traded company, Membership on an entity's Board of Directors or advisory committees; Adaptive Biotechnologies: Consultancy, Other: TRAVEL, ACCOMMODATIONS, EXPENSES (paid by any for-profit health care company); Janssen: Consultancy, Other: TRAVEL, ACCOMMODATIONS, EXPENSES (paid by any for-profit health care company); AbbVie: Consultancy; ONK Therapeutics: Consultancy, Current Employment, Current equity holder in publicly-traded company, Membership on an entity's Board of Directors or advisory committees, Patents & Royalties, Research Funding. Spencer:Roche: Honoraria; Sanofi: Consultancy, Honoraria; Pharmamar: Research Funding; AbbVie: Consultancy, Honoraria, Research Funding; Pfizer: Consultancy, Honoraria; BMS: Consultancy, Honoraria, Research Funding, Speakers Bureau; Takeda: Honoraria, Research Funding, Speakers Bureau; Amgen: Consultancy, Honoraria, Research Funding; Janssen: Consultancy, Honoraria, Research Funding, Speakers Bureau; Secura Bio: Consultancy, Honoraria; Servier: Consultancy, Honoraria, Research Funding; HaemaLogiX: Consultancy, Honoraria, Research Funding. Kumar:Janssen Oncology: Other: Research funding for clinical trials to the institution, Consulting/Advisory Board participation with no personal payments; Celgene/BMS: Other: Research funding for clinical trials to the institution, Consulting/Advisory Board participation with no personal payments; Takeda: Other: Research funding for clinical trials to the institution, Consulting/Advisory Board participation with no personal payments; BMS: Consultancy, Research Funding; Tenebio: Other, Research Funding; Oncopeptides: Consultancy, Other: Independent Review Committee; IRC member; Kite Pharma: Consultancy, Research Funding; AbbVie: Other: Research funding for clinical trials to the institution, Consulting/Advisory Board participation with no personal payments; Amgen: Consultancy, Other: Research funding for clinical trials to the institution, Consulting/Advisory Board participation with no personal payments, Research Funding; Genecentrix: Consultancy; Cellectar: Other; MedImmune: Research Funding; Karyopharm: Consultancy; Sanofi: Research Funding; Merck: Consultancy, Research Funding; Adaptive Biotechnologies: Consultancy; Carsgen: Other, Research Funding; Dr. Reddy's Laboratories: Honoraria; Genentech/Roche: Other: Research funding for clinical trials to the institution, Consulting/Advisory Board participation with no personal payments; Novartis: Research Funding. Popat:AbbVie: Consultancy, Honoraria; Takeda: Consultancy, Honoraria, Other: Travel support, Research Funding; Janssen: Consultancy, Honoraria, Other: TRAVEL, ACCOMMODATIONS, EXPENSES (paid by any for-profit health care company); Bristol Myers Squibb: Consultancy, Honoraria; GSK: Consultancy, Honoraria, Other: TRAVEL, ACCOMMODATIONS, EXPENSES (paid by any for-profit health care company); Celgene: Consultancy, Honoraria. Moreau:Abbvie: Consultancy, Honoraria; Sanofi: Consultancy, Honoraria; Celgene/Bristol-Myers Squibb: Consultancy, Honoraria; Amgen: Consultancy, Honoraria; Janssen: Consultancy, Honoraria; Takeda: Honoraria; Novartis: Honoraria. Dail:Genentech: Current Employment, Current equity holder in publicly-traded company. Jalaluddin:AbbVie: Current Employment, Other: may hold stock or stock options. Yang:Abbvie: Current Employment, Current equity holder in publicly-traded company. Lu:AbbVie: Current Employment, Current equity holder in publicly-traded company. Zha:Abbvie: Current Employment, Current equity holder in publicly-traded company. Dunbar:Abbvie: Current Employment, Current equity holder in publicly-traded company. Vishwamitra:AbbVie, Inc.: Current Employment, Other: may hold stock or other options. Mantis:Abbvie: Current Employment, Current equity holder in publicly-traded company. Melhem-Bertrandt:AbbVie: Current Employment; Astellas: Ended employment in the past 24 months. Ross:AbbVie: Current Employment, Current equity holder in publicly-traded company. Harrison:F. Hoffmann-La Roche: Consultancy, Honoraria; CRISPR Therapeutics: Consultancy, Honoraria; GSK: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Amgen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Takeda: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Janssen-Cilag: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; AbbVie: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Novartis: Consultancy, Honoraria, Patents & Royalties: wrt panobinostat; Janssen: Honoraria; Haemalogix: Consultancy; BMS: Consultancy, Honoraria.

Abstract Background: Evidence for aspirin's chemopreventative properties on colorectal cancer (CRC) is substantial, but its mechanism of action is not well-understood. We combined a proteomic approach with Mendelian randomization (MR) to identify possible new aspirin targets that decrease CRC risk. Methods: Human colorectal adenoma cells (RG/C2) were treated with aspirin (24 hours) and a stable isotope labeling with amino acids in cell culture (SILAC) based proteomics approach identified altered protein expression. Protein quantitative trait loci (pQTLs) from INTERVAL (N = 3,301) and expression QTLs (eQTLs) from the eQTLGen Consortium (N = 31,684) were used as genetic proxies for protein and mRNA expression levels. Two-sample MR of mRNA/protein expression on CRC risk was performed using eQTL/pQTL data combined with CRC genetic summary data from the Colon Cancer Family Registry (CCFR), Colorectal Transdisciplinary (CORECT), Genetics and Epidemiology of Colorectal Cancer (GECCO) consortia and UK Biobank (55,168 cases and 65,160 controls). Results: Altered expression was detected for 125/5886 proteins. Of these, aspirin decreased MCM6, RRM2, and ARFIP2 expression, and MR analysis showed that a standard deviation increase in mRNA/protein expression was associated with increased CRC risk (OR: 1.08, 95% CI, 1.03–1.13; OR: 3.33, 95% CI, 2.46–4.50; and OR: 1.15, 95% CI, 1.02–1.29, respectively). Conclusions: MCM6 and RRM2 are involved in DNA repair whereby reduced expression may lead to increased DNA aberrations and ultimately cancer cell death, whereas ARFIP2 is involved in actin cytoskeletal regulation, indicating a possible role in aspirin's reduction of metastasis. Impact: Our approach has shown how laboratory experiments and population-based approaches can combine to identify aspirin-targeted proteins possibly affecting CRC risk.

Abstract Background: It is not known whether modifiable lifestyle factors that predict survival after invasive breast cancer differ by subtype. Methods: We analyzed data for 121,435 women diagnosed with breast cancer from 67 studies in the Breast Cancer Association Consortium with 16,890 deaths (8,554 breast cancer specific) over 10 years. Cox regression was used to estimate associations between risk factors and 10-year all-cause mortality and breast cancer–specific mortality overall, by estrogen receptor (ER) status, and by intrinsic-like subtype. Results: There was no evidence of heterogeneous associations between risk factors and mortality by subtype (Padj > 0.30). The strongest associations were between all-cause mortality and BMI ≥30 versus 18.5–25 kg/m2 [HR (95% confidence interval (CI), 1.19 (1.06–1.34)]; current versus never smoking [1.37 (1.27–1.47)], high versus low physical activity [0.43 (0.21–0.86)], age ≥30 years versus <20 years at first pregnancy [0.79 (0.72–0.86)]; >0–<5 years versus ≥10 years since last full-term birth [1.31 (1.11–1.55)]; ever versus never use of oral contraceptives [0.91 (0.87–0.96)]; ever versus never use of menopausal hormone therapy, including current estrogen–progestin therapy [0.61 (0.54–0.69)]. Similar associations with breast cancer mortality were weaker; for example, 1.11 (1.02–1.21) for current versus never smoking. Conclusions: We confirm associations between modifiable lifestyle factors and 10-year all-cause mortality. There was no strong evidence that associations differed by ER status or intrinsic-like subtype. Impact: Given the large dataset and lack of evidence that associations between modifiable risk factors and 10-year mortality differed by subtype, these associations could be cautiously used in prognostication models to inform patient-centered care.

OBJECTIVE Endovascular removal of emboli causing large vessel occlusion (LVO)–related stroke utilizing suction catheter and/or stent retriever technologies or thrombectomy is a new standard of care. Despite high recanalization rates, 40% of stroke patients still experience poor neurological outcomes as many cases cannot be fully reopened after the first attempt. The development of new endovascular technologies and techniques for mechanical thrombectomy requires more sophisticated testing platforms that overcome the limitations of phantom-based simulators. The authors investigated the use of a hybrid platform for LVO stroke constructed with cadaveric human brains. METHODS A test bed for embolic occlusion of cerebrovascular arteries and mechanical thrombectomy was developed with cadaveric human brains, a customized hydraulic system to generate physiological flow rate and pressure, and three types of embolus analogs (elastic, stiff, and fragment-prone) engineered to match mechanically and phenotypically the emboli causing LVO strokes. LVO cases were replicated in the anterior and posterior circulation, and thrombectomy was attempted using suction catheters and/or stent retrievers. RESULTS The test bed allowed radiation-free visualization of thrombectomy for LVO stroke in real cerebrovascular anatomy and flow conditions by transmural visualization of the intraluminal elements and procedures. The authors were able to successfully replicate 105 LVO cases with 184 passes in 12 brains (51 LVO cases and 82 passes in the anterior circulation, and 54 LVO cases and 102 passes in the posterior circulation). Observed recanalization rates in this model were graded using a Recanalization in LVO (RELVO) scale analogous to other measures of recanalization outcomes in clinical use. CONCLUSIONS The human brain platform introduced and validated here enables the analysis of artery-embolus-device interaction under physiological hemodynamic conditions within the unmodified complexity of the cerebral vasculature inside the human brain.