2022 IEEE 10th International Conference on Healthcare Informatics (ICHI) | September 8, 2022 | Volume: No volume available | Issue: No issue available | Pages: 36-41
2022 IEEE 10th International Conference on Healthcare Informatics (ICHI) | September 8, 2022 | Volume: No volume available | Issue: No issue available | Pages: 517-518
Importance In patients with severe aortic valve stenosis at intermediate surgical risk, transcatheter aortic valve replacement (TAVR) with a self-expanding supra-annular valve was noninferior to surgery for all-cause mortality or disabling stroke at 2 years. Comparisons of longer-term clinical and hemodynamic outcomes in these patients are limited. Objective To report prespecified secondary 5-year outcomes from the Symptomatic Aortic Stenosis in Intermediate Risk Subjects Who Need Aortic Valve Replacement (SURTAVI) randomized clinical trial. Design, Setting, and Participants SURTAVI is a prospective randomized, unblinded clinical trial. Randomization was stratified by investigational site and need for revascularization determined by the local heart teams. Patients with severe aortic valve stenosis deemed to be at intermediate risk of 30-day surgical mortality were enrolled at 87 centers from June 19, 2012, to June 30, 2016, in Europe and North America. Analysis took place between August and October 2021. Intervention Patients were randomized to TAVR with a self-expanding, supra-annular transcatheter or a surgical bioprosthesis. Main Outcomes and Measures The prespecified secondary end points of death or disabling stroke and other adverse events and hemodynamic findings at 5 years. An independent clinical event committee adjudicated all serious adverse events and an independent echocardiographic core laboratory evaluated all echocardiograms at 5 years. Results A total of 1660 individuals underwent an attempted TAVR (n = 864) or surgical (n = 796) procedure. The mean (SD) age was 79.8 (6.2) years, 724 (43.6%) were female, and the mean (SD) Society of Thoracic Surgery Predicted Risk of Mortality score was 4.5% (1.6%). At 5 years, the rates of death or disabling stroke were similar (TAVR, 31.3% vs surgery, 30.8%; hazard ratio, 1.02 [95% CI, 0.85-1.22]; P = .85). Transprosthetic gradients remained lower (mean [SD], 8.6 [5.5] mm Hg vs 11.2 [6.0] mm Hg; P < .001) and aortic valve areas were higher (mean [SD], 2.2 [0.7] cm 2 vs 1.8 [0.6] cm 2 ; P < .001) with TAVR vs surgery. More patients had moderate/severe paravalvular leak with TAVR than surgery (11 [3.0%] vs 2 [0.7%]; risk difference, 2.37% [95% CI, 0.17%- 4.85%]; P = .05). New pacemaker implantation rates were higher for TAVR than surgery at 5 years (289 [39.1%] vs 94 [15.1%]; hazard ratio, 3.30 [95% CI, 2.61-4.17]; log-rank P < .001), as were valve reintervention rates (27 [3.5%] vs 11 [1.9%]; hazard ratio, 2.21 [95% CI, 1.10-4.45]; log-rank P = .02), although between 2 and 5 years only 6 patients who underwent TAVR and 7 who underwent surgery required a reintervention. Conclusions and Relevance Among intermediate-risk patients with symptomatic severe aortic stenosis, major clinical outcomes at 5 years were similar for TAVR and surgery. TAVR was associated with superior hemodynamic valve performance but also with more paravalvular leak and valve reinterventions.
Assessment of Electronic Health Record for Cancer Research and Patient Care Through a Scoping Review of Cancer Natural Language Processing
PURPOSEThe advancement of natural language processing (NLP) has promoted the use of detailed textual data in electronic health records (EHRs) to support cancer research and to facilitate patient care. In this review, we aim to assess EHR for cancer research and patient care by using the Minimal Common Oncology Data Elements (mCODE), which is a community-driven effort to define a minimal set of data elements for cancer research and practice. Specifically, we aim to assess the alignment of NLP-extracted data elements with mCODE and review existing NLP methodologies for extracting said data elements.METHODSPublished literature studies were searched to retrieve cancer-related NLP articles that were written in English and published between January 2010 and September 2020 from main literature databases. After the retrieval, articles with EHRs as the data source were manually identified. A charting form was developed for relevant study analysis and used to categorize data including four main topics: metadata, EHR data and targeted cancer types, NLP methodology, and oncology data elements and standards.RESULTSA total of 123 publications were selected finally and included in our analysis. We found that cancer research and patient care require some data elements beyond mCODE as expected. Transparency and reproductivity are not sufficient in NLP methods, and inconsistency in NLP evaluation exists.CONCLUSIONWe conducted a comprehensive review of cancer NLP for research and patient care using EHRs data. Issues and barriers for wide adoption of cancer NLP were identified and discussed.
Treatment of cancer associated thrombosis: A living interactive systematic review and bayesian network meta-analysis.
e24070 Background: We have maintained a living interactive systematic review (LISR) on the treatment of CAT ( CAT LISR ). Recent publications of CASTA-DIVA and CANVAS trials prompted this report of updated analysis. Methods: The approach to creating LISRs has been previously published and is available on our website. ( LIvE synthesis framework ). Patient important outcomes included venous thromboembolism (VTE) recurrence, major bleeding (MB), clinically relevant non-major bleeding (CRNMB), net clinical benefit (NCB) and all-cause mortality. Mantel-Haenszel method was used to pool treatment effect estimates. A Paul-Mendel random-effects meta-analysis was conducted to compare DOACs with LMWH. Mixed-treatment comparisons were computed using fixed-effect model within a Bayesian framework owing to a sparse and open network. Effect estimates were expressed as odds ratio (OR) with 95% confidence intervals (CI). Surface under the cumulative ranking curve (SUCRA) was used to assess relative treatment rankings. Results: This systematic review currently includes six RCTs with a total of 3690 patients and four unique treatment choices. Apixaban was assessed in two trials (ADAM-VTE, CARAVAGGIO), rivaroxaban in two (SELECT-D, CASTA-DIVA) and edoxaban in one (HOKUSAI-VTE). CANVAS trial reported efficacy of DOACs as a class and hence, was only included in direct comparisons with LMWH. Direct comparisons showed that DOACs as a class significantly decreased the odds of VTE recurrence (OR 0.63, 95% CI: 0.49-0.82) without significantly increasing major bleeding (OR 1.23, 95% CI: 0.84-1.79) when compared to LMWH. However, higher odds of CRNMB (OR 1.65, 95% CI: 1.18-2.31) was observed with DOACs when compared to LMWH. Mortality rates were not different between the two groups (OR: 1.03, 95% CI: 0.87-1.21). Mixed treatment comparisons showed decreased VTE recurrences with rivaroxaban (rank 1; OR 0.49, 95% CI: 0.23-0.99) and apixaban (rank 2; OR 0.58, 95% CI: 0.36-0.90) relative to LMWH (rank 4). No significant differences were observed between edoxaban (rank 3) and LMWH in terms of VTE risk reduction. Edoxaban (rank 4) increased the risk of major bleeding (OR 1.77, 95% CI: 1.05-3.15) compared to LMWH (rank 2); there were no significant differences among rivaroxaban (rank 3) apixaban (rank 1), and LMWH. Rivaroxaban (rank 4; OR 3.16; 95% CI: 1.61-6.68) and apixaban (rank 3; OR 1.51, 95% CI: 1.01-2.28) increased the risk of CRNMB compared to LMWH (rank 1). Significant net clinical benefit was observed with apixaban (rank 1; OR 0.66; 95% CI: 0.46-0.94) when compared to LMWH (rank 4). No significant differences were observed among other mixed treatment comparisons. Conclusions: Patients treated with DOACs have 31 fewer VTE events per 1000 CAT patients compared to LMWH. Amongst DOACs, apixaban offers the greatest net clinical benefit with 39 fewer VTE and MB events per 1000 patients compared to LMWH.
Real-world outcomes of axicabtagene ciloleucel (Axi-cel) for the treatment of large B-cell lymphoma (LBCL) by race and ethnicity.
7571 Background: In clinical trials of CAR T-cell therapies and real-world studies published to date, there is a paucity of data on outcomes by race and ethnicity. Here, we examined outcomes by race and ethnicity among LBCL pts who received axi-cel in the real-world setting. Methods: A total of 1389 pts with LBCL were identified from a non-interventional post-authorization safety study with pts receiving commercial axi-cel between 10/2017 and 08/2020. Race (African American or Asian vs White) and ethnicity (Hispanic vs non-Hispanic) were self-reported by pts. Pts with rescinded consent, enrolled in trials, having prior non-HCT cellular therapy, primary CNS lymphoma, unknown comorbidity or data in query were excluded. Median follow-up was 12.7 mo. Outcomes included ORR, CR rate, DOR, PFS and OS, grade ≥ 3 CRS (Lee 2014 criteria) and ICANS (ASTCT consensus grade). ORR and CR were evaluated in pts with ≥ 180 days of follow-up. Kaplan-Meier estimates were calculated for PFS and OS. Multivariable analyses comparing race and ethnicity were conducted via logistic and Cox regression. Results: Among all, 1127 (81%) were White, 70 (5%) African American and 81 (6%) Asian; 152 (11%) were Hispanic including 104 White, 2 Black, and 1 Asian Hispanic. African Americans, compared to White, were younger (median age 55.5 vs 62.8 years), more likely to have pulmonary impairment (41% vs 28%) and tended to have longer time from diagnosis (≥ 12 mo 71% vs 59%). Hispanic pts were younger (median age 58.5 vs 62.6 years) than non-Hispanic pts. ORR was 74% (CR 57%, 12-mo PFS and OS 48% and 63%) for White, 57% (CR 45%, 12-mo PFS and OS 36% and 62%) for African American, 67% (CR 53%, 12-mo PFS and OS 55% and 65%) for Asian and 73% (CR 55%, 12-mo PFS and OS 50% and 65%) for Hispanic pts. Grade ≥ 3 CRS and ICANS occurred in 7% and 18% of African American, 10% and 19% of Asian, and 8% and 27% of White pts, respectively. Hispanic pts had lower rates of grade ≥ 3 CRS and ICANS (4% and 15%) vs non-Hispanic (9% and 27%). African American race was associated with inferior ORR (OR 0.40; 95% CI, 0.24-0.69) and CR rate (OR 0.55; 95% CI 0.32-0.93) vs White. Asian pts had favorable DOR compared to both White (HR 0.46; 95% CI 0.24-0.87) and African American (HR 0.39; 95% CI 0.17-0.88). No statistical differences were found in OS and PFS across races, nor in any efficacy outcome between Hispanic and non-Hispanic pts. Asian (OR 0.52; 95% CI 0.29-0.96 vs White) and Hispanic pts (OR 0.51; 95% CI 0.31-0.85 vs non-Hispanic) had lower risk of grade ≥ 3 ICANS. Conclusions: Overall, axi-cel showed favorable OS, PFS and safety profile regardless of race and ethnicity in the real-world setting. No notable differences in outcomes were observed for Hispanic or Asian pts. Lower response rates in African American pts noted here warrant further investigation including any underrepresentation not explained by a lower incidence rate for DLBCL (SEER), access to care, and disease burden.
Biomarkers for Predicting Abiraterone Treatment Outcome and Selecting Alternative Therapies in Castration‐Resistant Prostate Cancer
Approximately one‐third of patients with metastatic castration‐resistant prostate cancer (CRPC) exhibited primary abiraterone resistance. To identify alternative treatment for abiraterone nonresponders, we performed drug discovery analyses using the L1000 database using differentially expressed genes identified in tumor biopsies and patient‐derived xenograft (PDX) tumors between abiraterone responders and nonresponders enrolled in PROMOTE trial. This approach identified 3 drugs, including topoisomerase II (TOP2) inhibitor mitoxantrone, CDK4/6 inhibitor palbociclib, and pan‐CDK inhibitor PHA‐793887. These drugs significantly suppressed the growth of abiraterone‐resistant cell lines and PDX models. Moreover, we identified 11 genes targeted by all 3 drugs that were associated with worse outcomes in both the PROMOTE and Stand Up To Cancer cohorts. This 11‐gene panel might also function as biomarkers to select the 3 alternative therapies for this subgroup of patients with CRPC, warranting further clinical investigation.
Midwest rural‐urban disparities in use of patient online services for COVID‐19
AbstractPurposeRural populations are disproportionately affected by the COVID‐19 pandemic. We characterized urban‐rural disparities in patient portal messaging utilization for COVID‐19, and, of those who used the portal during its early stage in the Midwest.MethodsWe collected over 1 million portal messages generated by midwestern Mayo Clinic patients from February to August 2020. We analyzed patient‐generated messages (PGMs) on COVID‐19 by urban‐rural locality and incorporated patients’ sociodemographic factors into the analysis.FindingsThe urban‐rural ratio of portal users, message senders, and COVID‐19 message senders was 1.18, 1.31, and 1.79, indicating greater use among urban patients. The urban‐rural ratio (1.69) of PGMs on COVID‐19 was higher than that (1.43) of general PGMs. The urban‐rural ratios of messaging were 1.72‐1.85 for COVID‐19‐related care and 1.43‐1.66 for other health care issues on COVID‐19. Compared with urban patients, rural patients sent fewer messages for COVID‐19 diagnosis and treatment but more messages for other reasons related to COVID‐19‐related health care (eg, isolation and anxiety). The frequent senders of COVID‐19‐related messages among rural patients were 40+ years old, women, married, and White.ConclusionsIn this Midwest health system, rural patients were less likely to use patient online services during a pandemic and their reasons for its use differ from urban patients. Results suggest opportunities for increasing equity in rural patient engagement in patient portals (in particular, minority populations) for COVID‐19. Public health intervention strategies could target reasons why rural patients might seek health care in a pandemic, such as social isolation and anxiety.
Abstract PD1-03: Estrogen receptor is a target of enzalutamide in ER+ breast cancer
Abstract Background: Androgen receptor (AR) is widely expressed in ER+ breast cancers. Accumulated evidence showed that AR is a tumor suppressor in ERα+ breast cancers. Enzalutamide (ENZ), an AR antagonist, blocks AR signalling, and was reported to inhibit estrogen-driven tumor growth as effectively as tamoxifen. Hence, this study was performed to further examine the mechanism of action of ENZ in ERα+ breast cancers. Methods: The AR gene was knocked out using the CRISPR-Cas9 system. Four crRNAs targeting AR and trans-activating crRNA were co-transfected to Cas9-positive MCF7 and T47D cells, two ERα+ breast cancer cell lines with relatively low AR levels based on RNA seq. ESR1 knock down was performed using a lentivirus system. MCF7 and T47D cells were infected with the ESR1-shRNA lentivirus and selected by puromycin for 2 weeks. Single clones of knockdown or knockout cells were tested using western blot. MCF7 and T47D cells were collected for RNA-seq and ChIP-seq after treated with DMSO or 10µM ENZ for 6 hours in complete medium. All sequences were aligned to the Human Reference Genome (hg38, UCSC). Differential gene expression was performed using limma package and upstream analysis was done in Ingenuity Pathway Analysis software. ChIP peaks were called using MACS2 and overlapping was analyzed using ChIPpeakAnno package in R. Tritium labeled ENZ or estradiol were incubated with ERα overnight. The bound radioactivity was measured using a Beckmann LS 6500 liquidscintillation counter. Results: We found the cell growth inhibition effect of ENZ was little impaired by AR gene knock out in MCF7 and T47D cells as was expected. As ENZ has been shown to inhibit estrogen-driven tumor growth, we performed studies to understand the mechanism of ENZ.We performed RNA-seq and identified 193 differential expressed genes (76 up and 117 down) between DMSO and ENZ-treated MCF7 cells (FC>2 or <0.5, FDR<0.05). Upstream analysis showed that ESR1 might be the upstream regulator of those differentially expressed genes and ESR1 signaling was predicted to be inhibited after ENZ treatment (P=1.69×10-10). To examine the alteration of ERα genomic binding, we performed global ERα ChIP-seq and found 39.58% (8,681/21,933) of ERα-bound sites were abolished by ENZ and the binding intensity was significantly decreased upon ENZ treatment in 12,868 shared peaks. Moreover, radiolabled binding assays showed that ENZ displaced estrogen binding to ERα and directly bound to ERα with a KD= 399.60nM. We further observed a reduction of proliferation inhibition of ENZ in ESR1-KD cells compared with control cells. This suggests that ENZ inhibits ER+ cell growth by displacing E2 from ERα binding sites and subsequently diminishes ERα genomic binding and blocks ERα signaling in ER+ cancers. Conclusion: We found that enzalutamide inhibits cell growth not through AR but by antagonizing ERα activity in MCF7 and T47D ER+ cells. These results reveal ER is the main factor affecting enzalutamide efficacy in these two ERα+ breast cancer cell lines. Further clinical trials are needed to investigate AR antagonists in ERα+ breast cancers. Citation Format: Lixuan Wei, Jia Yu, Huanyao Gao, Huan Zhang, Thanh Nguyen, Yayun Gu, Richard M. Weinshilboum, James N. Ingle, Liewei Wang. Estrogen receptor is a target of enzalutamide in ER+ breast cancer [abstract]. In: Proceedings of the 2021 San Antonio Breast Cancer Symposium; 2021 Dec 7-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2022;82(4 Suppl):Abstract nr PD1-03.
Abstract P5-01-07: Patient-derived xenografts (PDXs) generated from hormone receptor-positive breast cancer (BC) before and after cyclin-dependent kinase 4 and 6 inhibitors (CDK4/6i) treatment: Initial findings from the PROMISE study
Abstract Background: Hormone receptor-positive (HR+) breast cancer (BC) accounts for ~60-70% of all BC cases. CDK4/6i combined with endocrine therapy (ET) is the standard of care for first- and second-line therapy of patients with HR+ metastatic breast cancer (MBC) based on substantial improvements in progression free survival (PFS) and overall survival compared to ET alone. Unfortunately, most patients (pts) develop resistance to CDK4/6i. The mechanisms underlying CDK4/6i resistance have not been fully elucidated. Robust in vivo CDK4/6i resistant animal models from pts with de novo and acquired CDK 4/6i resistance are lacking. Patient-derived xenografts (PDXs) are important preclinical tools in oncology to advance our understanding of cancer biology and to evaluate drug response phenotypes. Unfortunately, the establishment of sustainable PDXs from pts with HR+ BC is much more difficult than from HR-negative BC. In order to obtain clinically relevant models that can be utilized to better understand mechanisms of primary and acquired resistance to ET and CDK4/6i, we report the development of PDXs from a prospective study in which percutaneous biopsies were obtained from women receiving palbociclib for the treatment of HR+ advanced or MBC (PROMISE; NCT03281902). Methods: PROMISE (Prospective Study to Evaluate the Role of Tumor Sequencing in Women Receiving Palbociclib for Advanced Hormone Receptor (HR)-Positive Breast Cancer) is a prospective trial which enrolled pts with HR+, HER2-negative MBC who planned to start treatment with palbociclib and letrozole (1st line [FL]) or palbociclib and fulvestrant (2nd line [SL]). For pts enrolled at Mayo Clinic Rochester (MCR), serial tumor biopsies were obtained prior to the start of treatment and at disease progression to establish PDXs. Because baseline take rate was low, we amended the protocol to attempt PDX generation after the 2nd cycle (C2) of therapy. Tissues were received within an hour of excision and were orthotopically implanted in the mammary fat pad of 6~8-week-old nonobese diabetic (NOD)/SCID/IL-2g-receptor null (NSG) mice. Tumor growth was defined as tumor volume ≥ 50 mm3. Tumor take rate was defined as percent of patients with development of at least one stably transplantable (passed at least for two generations) xenograft that was pathologically confirmed as BC. Results: Of the 50 pts enrolled at MCR, 37 were FL pts (2 ineligible) and 13 were SL pts (1 ineligible). Fresh tumor samples obtained pre-treatment from 43 eligible pts (32 FL), after C2 from 17 eligible pts (13 FL), and at disease progression from 10 eligible pts (5 FL) were implanted. Tumor growth was seen in at least one mouse from a pre-treatment specimen in 1 (3.1%) FL pt (confirmed BC) and 4 (36.4%) SL pts (2 confirmed BC); from end of C2 specimens in 2 (15.4%) FL pts and 2 (50%) SL pts (1 confirmed BC); and at progression in 1 (20%) FL pt and 2 (40%) SL pts (1 confirmed BC). The take rate from pre-treatment samples among FL pts was 1/32 (3.1%; 95% CI: 0.08-16.2%). Take rates in other groups are pending histological review. Discussion: In pts receiving palbociclib for HR+ MBC, the take rate using a pre-treatment percutaneous biopsy was low (3.1%) in the FL setting. However, higher growth rates were seen in the SL setting. The observation of higher growth rates at the end of C2 and at progression may relate to the activation of G1/S that occurs with withdrawal of palbociclib, and should be further studied. PDX remains a valuable tool for the evaluation of tumor biology and the development of new therapeutics, especially for those models established from pts with palbociclib and ET resistance. Proteogenomic and sequencing studies are ongoing to fully characterize these PDXs. Citation Format: Jia Yu, Vera J. Suman, Jun He, Jason P. Sinnwell, Ann M. Moyer, Bo Qin, Yayun Gu, Huan Zhang, Jodi M. Carter, Krishna R. Kalari, Brendan P. McMenomy, Minetta C. Liu, Tufia C. Haddad, Kathryn J. Ruddy, Fergus J. Couch, Alvaro Moreno-Aspitia, Donald W. Northfelt, Richard Weinshilboum, Ciara O'Sullivan, Matthew P. Goetz, Liewei Wang. Patient-derived xenografts (PDXs) generated from hormone receptor-positive breast cancer (BC) before and after cyclin-dependent kinase 4 and 6 inhibitors (CDK4/6i) treatment: Initial findings from the PROMISE study [abstract]. In: Proceedings of the 2021 San Antonio Breast Cancer Symposium; 2021 Dec 7-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2022;82(4 Suppl):Abstract nr P5-01-07.