6 results on '"Shaya, Justin"'
Search Results
2. Disparities in germline testing among racial minorities with prostate cancer
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Weise, Nicole, Shaya, Justin, Javier-Desloges, Juan, Cheng, Heather H, Madlensky, Lisa, and McKay, Rana R
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Biomedical and Clinical Sciences ,Clinical Sciences ,Oncology and Carcinogenesis ,Aging ,Clinical Research ,Genetics ,Prevention ,Cancer ,Urologic Diseases ,Prostate Cancer ,4.4 Population screening ,Detection ,screening and diagnosis ,4.1 Discovery and preclinical testing of markers and technologies ,Early Detection of Cancer ,Ethnic and Racial Minorities ,Germ Cells ,Germ-Line Mutation ,Humans ,Male ,Prostatic Neoplasms ,United States ,Urology & Nephrology ,Clinical sciences ,Oncology and carcinogenesis - Abstract
Germline testing is becoming increasingly relevant in prostate cancer (PCa) screening, prognosis, and management. A subset of patients with PCa harbor pathogenic/likely pathogenic variants (P/LPVs) in genes mediating DNA-repair processes, and these P/LPVs have implications for cancer screening, treatment, and cascade testing. As a result, it is recommended that all men with high-risk localized and metastatic PCa undergo routine germline testing. As more PCa patients undergo germline testing, it is important that clinicians and genetics experts recognize current disparities in germline testing rates among racial/ethnic minorities in the United States. The reasons for these disparities are multiple and require similarly manifold consideration to close the germline testing gap and reduce inequities in PCa screening, management, and treatment.
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- 2022
3. Geriatric risk factors for serious COVID-19 outcomes among older adults with cancer: a cohort study from the COVID-19 and Cancer Consortium
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Elkrief, Arielle, Hennessy, Cassandra, Kuderer, Nicole M, Rubinstein, Samuel M, Wulff-Burchfield, Elizabeth, Rosovsky, Rachel P, Vega-Luna, Karen, Thompson, Michael A, Panagiotou, Orestis A, Desai, Aakash, Rivera, Donna R, Khaki, Ali Raza, Tachiki, Lisa, Lynch, Ryan C, Stratton, Catherine, Elias, Rawad, Batist, Gerald, Kasi, Anup, Shah, Dimpy P, Bakouny, Ziad, Cabal, Angelo, Clement, Jessica, Crowell, Jennifer, Dixon, Becky, Friese, Christopher R, Fry, Stacy L, Grover, Punita, Gulati, Shuchi, Gupta, Shilpa, Hwang, Clara, Khan, Hina, Kim, Soo Jung, Klein, Elizabeth J, Labaki, Chris, McKay, Rana R, Nizam, Amanda, Pennell, Nathan A, Puc, Matthew, Schmidt, Andrew L, Shahrokni, Armin, Shaya, Justin A, Su, Christopher T, Wall, Sarah, Williams, Nicole, Wise-Draper, Trisha M, Mishra, Sanjay, Grivas, Petros, French, Benjamin, Warner, Jeremy L, Wildes, Tanya M, and Consortium, COVID-19 and Cancer
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Epidemiology ,Public Health ,Health Sciences ,Clinical Research ,Aging ,Cancer ,Prevention ,Good Health and Well Being ,Aged ,COVID-19 ,COVID-19 Testing ,Cohort Studies ,Humans ,Middle Aged ,Neoplasms ,Risk Factors ,SARS-CoV-2 ,COVID-19 and Cancer Consortium ,Public health - Abstract
BackgroundOlder age is associated with poorer outcomes of SARS-CoV-2 infection, although the heterogeneity of ageing results in some older adults being at greater risk than others. The objective of this study was to quantify the association of a novel geriatric risk index, comprising age, modified Charlson comorbidity index, and Eastern Cooperative Oncology Group performance status, with COVID-19 severity and 30-day mortality among older adults with cancer.MethodsIn this cohort study, we enrolled patients aged 60 years and older with a current or previous cancer diagnosis (excluding those with non-invasive cancers and premalignant or non-malignant conditions) and a current or previous laboratory-confirmed COVID-19 diagnosis who reported to the COVID-19 and Cancer Consortium (CCC19) multinational, multicentre, registry between March 17, 2020, and June 6, 2021. Patients were also excluded for unknown age, missing data resulting in unknown geriatric risk measure, inadequate data quality, or incomplete follow-up resulting in unknown COVID-19 severity. The exposure of interest was the CCC19 geriatric risk index. The primary outcome was COVID-19 severity and the secondary outcome was 30-day all-cause mortality; both were assessed in the full dataset. Adjusted odds ratios (ORs) and 95% CIs were estimated from ordinal and binary logistic regression models.Findings5671 patients with cancer and COVID-19 were included in the analysis. Median follow-up time was 56 days (IQR 22-120), and median age was 72 years (IQR 66-79). The CCC19 geriatric risk index identified 2365 (41·7%) patients as standard risk, 2217 (39·1%) patients as intermediate risk, and 1089 (19·2%) as high risk. 36 (0·6%) patients were excluded due to non-calculable geriatric risk index. Compared with standard-risk patients, high-risk patients had significantly higher COVID-19 severity (adjusted OR 7·24; 95% CI 6·20-8·45). 920 (16·2%) of 5671 patients died within 30 days of a COVID-19 diagnosis, including 161 (6·8%) of 2365 standard-risk patients, 409 (18·5%) of 2217 intermediate-risk patients, and 350 (32·1%) of 1089 high-risk patients. High-risk patients had higher adjusted odds of 30-day mortality (adjusted OR 10·7; 95% CI 8·54-13·5) than standard-risk patients.InterpretationThe CCC19 geriatric risk index was strongly associated with COVID-19 severity and 30-day mortality. Our CCC19 geriatric risk index, based on readily available clinical factors, might provide clinicians with an easy-to-use risk stratification method to identify older adults most at risk for severe COVID-19 as well as mortality.FundingUS National Institutes of Health National Cancer Institute Cancer Center.
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- 2022
4. Analysis of CDK12 alterations in a pan‐cancer database
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Pan, Elizabeth, Cabal, Angelo, Javier‐DesLoges, Juan, Patel, Devin, Panian, Justine, Lee, Suzanna, Shaya, Justin, Nonato, Taylor, Xu, Xiaojun, Stewart, Tyler, Rose, Brent, Shabaik, Ahmed, Cohen, Ezra, Kurzrock, Razelle, Tamayo, Pablo, and McKay, Rana R
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Biomedical and Clinical Sciences ,Clinical Sciences ,Oncology and Carcinogenesis ,Immunology ,Clinical Research ,Colo-Rectal Cancer ,Cancer ,Human Genome ,Genetics ,Digestive Diseases ,Rare Diseases ,2.1 Biological and endogenous factors ,Aetiology ,Good Health and Well Being ,Cyclin-Dependent Kinases ,Data Management ,Humans ,Male ,Neoplasms ,Prostate ,Retrospective Studies ,biomarkers ,cancer genetics ,clinical cancer research ,genomics ,Biochemistry and Cell Biology ,Oncology and carcinogenesis - Abstract
BackgroundCDK12 inactivation leading to increased neoantigen burden has been hypothesized to sensitize tumors to immune checkpoint inhibition. Pan-cancer data regarding the frequency of CDK12 alterations are limited. We aimed to characterize CDK12 alterations across all cancer types through real-world clinical-grade sequencing.MethodsThis was a single-center retrospective analysis of 4994 cancer patients who underwent tissue or blood genomic profiling, including CDK12 assessment, conducted as part of routine care from December 2012 to January 2020. Prevalence, clinical characteristics, and treatment outcomes of patients with tumors with pathogenic CDK12 alterations were described.ResultsIn all, 39 (0.78%, n = 39/4994) patients had pathogenic CDK12 alterations. Among CDK12-altered tumors, the most common organ site was prostate (n = 9, 23.1%) followed by colorectal (n = 5, 12.8%). Adenocarcinoma was the most common histology (n = 26, 66.7%). Median follow-up from time of diagnosis was 4.02 years. Median overall survival from time of metastasis was 4.43 years (95% CI: 3.11-5.74). Ten patients with CDK12-altered tumors received at least one immune checkpoint inhibitor-containing regimen. The majority of patients (n = 6/10, 60%) experienced an objective response. Progression-free survival for patients who had metastatic disease and received a checkpoint inhibitor-containing regimen was 1.16 years (95% CI: 0.32-2.00).ConclusionCDK12 alterations are rare events across hematologic and solid tumor malignancies. They represent a clinically distinct molecular cancer subtype which may have increased responsiveness to checkpoint inhibition. Prospective studies are warranted to investigate checkpoint inhibition in CDK12-altered tumors.
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- 2022
5. Asymptomatic detection of SARS‐CoV‐2 among cancer patients receiving infusional anti‐cancer therapy
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Shaya, Justin, Cabal, Angelo, Nonato, Taylor, Torriani, Francesca, Califano, Joseph, Lippman, Scott, Sacco, Assuntina, and McKay, Rana R
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Prevention ,Biodefense ,Lung ,Cancer ,Emerging Infectious Diseases ,Vaccine Related ,Clinical Research ,Infectious Diseases ,Good Health and Well Being ,Adult ,Aged ,Aged ,80 and over ,Asymptomatic Infections ,COVID-19 ,California ,Female ,Hospitalization ,Humans ,Male ,Mass Screening ,Middle Aged ,Neoplasms ,Retrospective Studies ,SARS-CoV-2 ,Young Adult ,asymptomatic ,cancer ,Covid-19 ,PCR testing ,screening ,Biochemistry and Cell Biology ,Oncology and Carcinogenesis - Abstract
BackgroundLittle is known regarding the rate and clinical outcomes of asymptomatic carriers of SARS-CoV-2 among patients with cancer. Detection of asymptomatic carriers is important in this population given the use of myelosuppressive and immunomodulating therapies. Understanding the asymptomatic carrier rate will help to develop mitigation strategies in this high-risk cohort.MethodsRetrospective cohort analysis of an asymptomatic screening protocol which required patients receiving infusional anti-cancer therapy to undergo a symptom/exposure screen and SARS-CoV-2 PCR testing 24-96 h prior to their infusion. The primary outcome of this analysis was the rate of asymptomatic SARS-CoV-2 infection. Secondary outcomes included the rate of COVID-19-related hospitalization and mortality and delays in oncologic therapy.ResultsAmong a cohort of 2691 cancer patients who underwent asymptomatic screening, 1.6% (N = 43/2691) of patients were found to be SARS-CoV-2 positive on asymptomatic screening. 11.6% (N = 5/43) of the cohort ultimately developed COVID-19-related symptoms. Four patients required hospitalization for complications of COVID-19 infection. No patient died from COVID-related complications. 97.7% (N = 42/43) had their anti-cancer therapy delayed or deferred with a median delay of 21 days (range: 7-77 days).ConclusionsOverall, among a cohort of active cancer patients receiving anti-cancer therapy, an asymptomatic SARS-CoV2 PCR-based screening protocol detected a small cohort of asymptomatic carriers. The majority of these patients remained asymptomatic on long-term follow-up and outcomes were much more favorable compared to previously described outcomes of cancer patients with symptomatic COVID-19 infection.
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- 2021
6. Clinical impact of COVID-19 on patients with cancer (CCC19): a cohort study
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Kuderer, Nicole M, Choueiri, Toni K, Shah, Dimpy P, Shyr, Yu, Rubinstein, Samuel M, Rivera, Donna R, Shete, Sanjay, Hsu, Chih-Yuan, Desai, Aakash, de Lima Lopes, Gilberto, Grivas, Petros, Painter, Corrie A, Peters, Solange, Thompson, Michael A, Bakouny, Ziad, Batist, Gerald, Bekaii-Saab, Tanios, Bilen, Mehmet A, Bouganim, Nathaniel, Larroya, Mateo Bover, Castellano, Daniel, Del Prete, Salvatore A, Doroshow, Deborah B, Egan, Pamela C, Elkrief, Arielle, Farmakiotis, Dimitrios, Flora, Daniel, Galsky, Matthew D, Glover, Michael J, Griffiths, Elizabeth A, Gulati, Anthony P, Gupta, Shilpa, Hafez, Navid, Halfdanarson, Thorvardur R, Hawley, Jessica E, Hsu, Emily, Kasi, Anup, Khaki, Ali R, Lemmon, Christopher A, Lewis, Colleen, Logan, Barbara, Masters, Tyler, McKay, Rana R, Mesa, Ruben A, Morgans, Alicia K, Mulcahy, Mary F, Panagiotou, Orestis A, Peddi, Prakash, Pennell, Nathan A, Reynolds, Kerry, Rosen, Lane R, Rosovsky, Rachel, Salazar, Mary, Schmidt, Andrew, Shah, Sumit A, Shaya, Justin A, Steinharter, John, Stockerl-Goldstein, Keith E, Subbiah, Suki, Vinh, Donald C, Wehbe, Firas H, Weissmann, Lisa B, Wu, Julie Tsu-Yu, Wulff-Burchfield, Elizabeth, Xie, Zhuoer, Yeh, Albert, Yu, Peter P, Zhou, Alice Y, Zubiri, Leyre, Mishra, Sanjay, Lyman, Gary H, Rini, Brian I, Warner, Jeremy L, Consortium, COVID-19 and Cancer, Abidi, Maheen, Acoba, Jared D, Agarwal, Neeraj, Ahmad, Syed, Ajmera, Archana, Altman, Jessica, Angevine, Anne H, Azad, Nilo, Bar, Michael H, Bardia, Aditya, Barnholtz-Sloan, Jill, Barrow, Briana, Bashir, Babar, Belenkaya, Rimma, Berg, Stephanie, Bernicker, Eric H, Bestvina, Christine, Bishnoi, Rohit, Boland, Genevieve, Bonnen, Mark, Bouchard, Gabrielle, Bowles, Daniel W, Busser, Fiona, Cabal, Angelo, Caimi, Paolo, and Carducci, Theresa
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Biomedical and Clinical Sciences ,Health Sciences ,Clinical Sciences ,Oncology and Carcinogenesis ,Clinical Research ,Aging ,Prevention ,Cancer ,Lung ,Good Health and Well Being ,Aged ,Antiviral Agents ,Azithromycin ,Betacoronavirus ,COVID-19 ,Cause of Death ,Comorbidity ,Coronavirus Infections ,Databases ,Factual ,Female ,Humans ,Hydroxychloroquine ,Male ,Middle Aged ,Neoplasms ,Pandemics ,Pneumonia ,Viral ,Prognosis ,Risk Factors ,SARS-CoV-2 ,COVID-19 Drug Treatment ,COVID-19 and Cancer Consortium ,Medical and Health Sciences ,General & Internal Medicine ,Biomedical and clinical sciences ,Health sciences - Abstract
BackgroundData on patients with COVID-19 who have cancer are lacking. Here we characterise the outcomes of a cohort of patients with cancer and COVID-19 and identify potential prognostic factors for mortality and severe illness.MethodsIn this cohort study, we collected de-identified data on patients with active or previous malignancy, aged 18 years and older, with confirmed severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection from the USA, Canada, and Spain from the COVID-19 and Cancer Consortium (CCC19) database for whom baseline data were added between March 17 and April 16, 2020. We collected data on baseline clinical conditions, medications, cancer diagnosis and treatment, and COVID-19 disease course. The primary endpoint was all-cause mortality within 30 days of diagnosis of COVID-19. We assessed the association between the outcome and potential prognostic variables using logistic regression analyses, partially adjusted for age, sex, smoking status, and obesity. This study is registered with ClinicalTrials.gov, NCT04354701, and is ongoing.FindingsOf 1035 records entered into the CCC19 database during the study period, 928 patients met inclusion criteria for our analysis. Median age was 66 years (IQR 57-76), 279 (30%) were aged 75 years or older, and 468 (50%) patients were male. The most prevalent malignancies were breast (191 [21%]) and prostate (152 [16%]). 366 (39%) patients were on active anticancer treatment, and 396 (43%) had active (measurable) cancer. At analysis (May 7, 2020), 121 (13%) patients had died. In logistic regression analysis, independent factors associated with increased 30-day mortality, after partial adjustment, were: increased age (per 10 years; partially adjusted odds ratio 1·84, 95% CI 1·53-2·21), male sex (1·63, 1·07-2·48), smoking status (former smoker vs never smoked: 1·60, 1·03-2·47), number of comorbidities (two vs none: 4·50, 1·33-15·28), Eastern Cooperative Oncology Group performance status of 2 or higher (status of 2 vs 0 or 1: 3·89, 2·11-7·18), active cancer (progressing vs remission: 5·20, 2·77-9·77), and receipt of azithromycin plus hydroxychloroquine (vs treatment with neither: 2·93, 1·79-4·79; confounding by indication cannot be excluded). Compared with residence in the US-Northeast, residence in Canada (0·24, 0·07-0·84) or the US-Midwest (0·50, 0·28-0·90) were associated with decreased 30-day all-cause mortality. Race and ethnicity, obesity status, cancer type, type of anticancer therapy, and recent surgery were not associated with mortality.InterpretationAmong patients with cancer and COVID-19, 30-day all-cause mortality was high and associated with general risk factors and risk factors unique to patients with cancer. Longer follow-up is needed to better understand the effect of COVID-19 on outcomes in patients with cancer, including the ability to continue specific cancer treatments.FundingAmerican Cancer Society, National Institutes of Health, and Hope Foundation for Cancer Research.
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- 2020
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