Citations

Mayo Clinic

Clear

51 citation(s) found for "Azevedo, A K".

Development of a Prediction Model for COVID‐19 Acute Respiratory Distress Syndrome in Patients With Rheumatic Diseases: Results From the Global Rheumatology Alliance Registry
Izadi, Zara , Aguirre, Alfredo , Hyrich, Kimme L , Gossec, Laure , Carmona, Loreto , Lawson‐Tovey, Saskia , Kearsley‐Fleet, Lianne , Schaefer, Martin, Seet, Andrea M. , Schmajuk, Gabriela , Jacobsohn, Lindsay, Rush, Stephanie, Sparks, Jeffrey A. , Hsu, Tiffany , Gilbert, Emily, Valenzuela-Almada, Maria O , Ugarte‐Gil, Manuel F. , Ribeiro, Sandra Lúcia Euzébio , Marinho, Adriana de Oliveira , Valadares, Lílian David de Azevedo , Hasseli, Rebecca , Richter, Jutta , Schmeiser, Tim , Torres, Alvaro Andres Reyes , Alle, Gelsomina , Saurit, Verónica , Zanetti, Anna , Carrara, Greta , Labreuche, Julien , Barnetche, Thomas , Hérasse, Muriel, Plassart, Samira, Santos, María José , Machado, Pedro , Sirotich, Emily , Hausmann, Jonathan S. , Sufka, Paul , Grainger, Rebecca , Bhana, Suleman , Costello, Wendy, Wallace, Zachary S. , Registry, Global Rheumatology Alliance, Schäfer, Martin , Gianfrancesco, Milena A , Aguirre, Alfredo , Lawson-Tovey, Saskia , Kearsley-Fleet, Lianne , Schaefer, Martin , Schmajuk, Gabriela , Katz, Patricia , Al-Emadi, Samar , Sparks, Jeffrey A , Wise, Leanna M , Duarte-García, Alí , Ribeiro, Sandra Lúcia Euzébio , Pfeil, Alexander , Santos, Maria José , Robinson, Philip C , Machado, Pedro M , Hausmann, Jonathan S , Grainger, Rebecca , Yazdany, Jinoos , Ugarte-Gil, Manuel F , Carmona, Loreto , Gossec, Laure , Hasseli, Rebecca , Hyrich, Kimme L , Sirotich, Emily , Hsu, Tiffany Y-T , Mateus, Elsa F , Strangfeld, Anja , Mateus, Elsa F , Katz, Patricia , Patel, Naomi J , Wise, Leanna , Duarte‐García, Alí , Di Giuseppe, Daniela , Isnardi, Carolina A , Saurit, Verónica , Khaldi-Plassart, Samira , Rodrigues, Ana Maria , Robinson, Philip C. , Liew, Jean W. , Yazdany, Jinoos , Registry, Global Rheumatology Alliance

ACR Open Rheumatology | July 23, 2022 | Volume: 4 | Issue: 10 | Pages: 872-882

10.1002/acr2.11481 | PMID 35869686 Get It

ObjectiveSome patients with rheumatic diseases might be at higher risk for coronavirus disease 2019 (COVID‐19) acute respiratory distress syndrome (ARDS). We aimed to develop a prediction model for COVID‐19 ARDS in this population and to create a simple risk score calculator for use in clinical settings.MethodsData were derived from the COVID‐19 Global Rheumatology Alliance Registry from March 24, 2020, to May 12, 2021. Seven machine learning classifiers were trained on ARDS outcomes using 83 variables obtained at COVID‐19 diagnosis. Predictive performance was assessed in a US test set and was validated in patients from four countries with independent registries using area under the curve (AUC), accuracy, sensitivity, and specificity. A simple risk score calculator was developed using a regression model incorporating the most influential predictors from the best performing classifier.ResultsThe study included 8633 patients from 74 countries, of whom 523 (6%) had ARDS. Gradient boosting had the highest mean AUC (0.78; 95% confidence interval [CI]: 0.67‐0.88) and was considered the top performing classifier. Ten predictors were identified as key risk factors and were included in a regression model. The regression model that predicted ARDS with 71% (95% CI: 61%‐83%) sensitivity in the test set, and with sensitivities ranging from 61% to 80% in countries with independent registries, was used to develop the risk score calculator.ConclusionWe were able to predict ARDS with good sensitivity using information readily available at COVID‐19 diagnosis. The proposed risk score calculator has the potential to guide risk stratification for treatments, such as monoclonal antibodies, that have potential to reduce COVID‐19 disease progression.
ATR-mediated CD47 and PD-L1 up-regulation restricts radiotherapy-induced immune priming and abscopal responses in colorectal cancer
Hsieh, Cheng‐En , Krishnan, Sunil , Wu, Ren‐Chin , Boda, Akash R. , Liu, Arthur , Winkler, Michelle , Hsu, Wen‐Hao , Lin, Steven H. , Hung, Mien‐Chie , Bhanu, Krithikaa Rajkumar , Srinivasamani, Anupallavi, Azevedo, Ricardo , Chou, Yung‐Chih , DePinho, Ronald A. , Gubin, Matthew M. , Slay, Ravaen, Hegde, Shweta , Hartley, Genevieve , Lea, Spencer T. , Prasad, Rishika , Morrow, Brittany, Couillault, Coline , Steiner, Madeline , Wang, Chun‐Chieh, Venkatesulu, Bhanu Prasad , Curran, Michael A. , Hsieh, Rodney Cheng-En , Lin, Steven H , Chan, Li-Chuan , De Azevedo, Ricardo Alexandre , Chou, Yung-Chih , DePinho, Ronald A , Gubin, Matthew , Vilar, Eduardo , Chen, Chao Hsien , Jayaprakash, Priyamvada , Lea, Spencer T , Prasad, Rishika , Couillault, Coline Agnes , Wang, Chun-Chieh , Taniguchi, Cullen , Kim, Betty Y S , Chen, Junjie , Rudqvist, Nils-Petter , Curran, Michael A , Krishnan, Sunil , Liu, Arthur J , Kim, Betty Y.S. , Chen, Junjie

Science Immunology | June 10, 2022 | Volume: 7 | Issue: 72 | Pages: No page available

10.1126/sciimmunol.abl9330 | PMID 35687697 Get It

Radiotherapy (RT) of colorectal cancer (CRC) can prime adaptive immunity against tumor-associated antigen (TAA)–expressing CRC cells systemically. However, abscopal tumor remissions are extremely rare, and the postirradiation immune escape mechanisms in CRC remain elusive. Here, we found that irradiated CRC cells used ATR-mediated DNA repair signaling pathway to up-regulate both CD47 and PD-L1, which through engagement of SIRPα and PD-1, respectively, prevented phagocytosis by antigen-presenting cells and thereby limited TAA cross-presentation and innate immune activation. This postirradiation CD47 and PD-L1 up-regulation was observed across various human solid tumor cells. Concordantly, rectal cancer patients with poor responses to neoadjuvant RT exhibited significantly elevated postirradiation CD47 levels. The combination of RT, anti-SIRPα, and anti–PD-1 reversed adaptive immune resistance and drove efficient TAA cross-presentation, resulting in robust TAA-specific CD8 T cell priming, functional activation of T effectors, and increased T cell clonality and clonal diversity. We observed significantly higher complete response rates to RT/anti-SIRPα/anti–PD-1 in both irradiated and abscopal tumors and prolonged survival in three distinct murine CRC models, including a cecal orthotopic model. The efficacy of triple combination therapy was STING dependent as knockout animals lost most benefit of adding anti-SIRPα and anti–PD-1 to RT. Despite activation across the myeloid stroma, the enhanced dendritic cell function accounts for most improvements in CD8 T cell priming. These data suggest ATR-mediated CD47 and PD-L1 up-regulation as a key mechanism restraining radiation-induced immune priming. RT combined with SIRPα and PD-1 blockade promotes robust antitumor immune priming, leading to systemic tumor regressions.
An issue of concern: unique truncated ORF8 protein variants of SARS-CoV-2
Kodakandla, Vaishnavi, Redwan, Elrashdy M. , Lundström, Kenneth , Choudhury, Pabitra Pal , El‐Aziz, Tarek Mohamed Abd , Takayama, Kazuo , Kandimalla, Ramesh , Lal, Amos , Aljabali, Alaa A. A. , Palù, Giorgio , Tambuwala, Murtaza M. , Baetas‐da‐Cruz, Wagner , Bazan, Nikolas, Silva, Raner José Santana , Uversky, Vladimir N. , Redwan, Elrashdy M , El-Aziz, Tarek M A , Kandimalla, Ramesh , Lal, Amos , Azad, Gajendra Kumar , Aljabali, Alaa A A , Adadi, Parise , Brufsky, Adam M , Barh, Debmalya , Azevedo, Vasco , Bazan, Nikolas G , Andrade, Bruno Silva , Santana Silva, Raner José , Uversky, Vladimir N , Tambuwala, Murtaza , Baetas-da-Cruz, Wagner , Takayama, Kazuo , Hassan, Sk. Sarif , Serrano‐Aroca, Ángel , Azad, Gajendra Kumar , Chauhan, Gaurav , Adadi, Parise , Brufsky, Adam , Barh, Debmalya

PeerJ | March 21, 2022 | Volume: 10 | Issue: No issue available | Pages: e13136

10.7717/peerj.13136 | PMID 35341060 Get It

Open reading frame 8 (ORF8) shows one of the highest levels of variability among accessory proteins in Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), the causative agent of Coronavirus Disease 2019 (COVID-19). It was previously reported that the ORF8 protein inhibits the presentation of viral antigens by the major histocompatibility complex class I (MHC-I), which interacts with host factors involved in pulmonary inflammation. The ORF8 protein assists SARS-CoV-2 in evading immunity and plays a role in SARS-CoV-2 replication. Among many contributing mutations, Q27STOP, a mutation in the ORF8 protein, defines the B.1.1.7 lineage of SARS-CoV-2, engendering the second wave of COVID-19. In the present study, 47 unique truncated ORF8 proteins (T-ORF8) with the Q27STOP mutations were identified among 49,055 available B.1.1.7 SARS-CoV-2 sequences. The results show that only one of the 47 T-ORF8 variants spread to over 57 geo-locations in North America, and other continents, which include Africa, Asia, Europe and South America. Based on various quantitative features, such as amino acid homology, polar/non-polar sequence homology, Shannon entropy conservation, and other physicochemical properties of all specific 47 T-ORF8 protein variants, nine possible T-ORF8 unique variants were defined. The question as to whether T-ORF8 variants function similarly to the wild type ORF8 is yet to be investigated. A positive response to the question could exacerbate future COVID-19 waves, necessitating severe containment measures.
Risk Factors and Time to Clinical Symptoms of Multiple Sclerosis Among Patients With Radiologically Isolated Syndrome
Rollot, Fabien , Mondot, Lydiane, Louapre, Céline , Page, Emmanuelle Le , Durand‐Dubief, Françoise , Labauge, Pierre, Bensa, Caroline , Thouvenot, Éric , Ciron, Jonathan , Bourre, Bertrand , Cabre, Philippe, Casez, Olivier , Ruet, Aurélie , Mathey, Guillaume , Berger, Éric , Moreau, Thibault, Khedr, A. Al, Derache, Nathalie, Guennoc, Anne‐Marie, Créange, Alain , Neau, Jean‐Philippe, Tourbah, Ayman , Camdessanché, Jean‐Philippe , Maarouf, Adil , Callier, Céline, Kantarci, Orhun H. , Sıva, Aksel , Azevedo, Christina , Makhani, Naila , Pelletier, Daniel , Investigators, RISC, SFSEP, and OFSEP, Pelletier, Daniel, Azevedo, Christina, Radji, Fataï, Morel, Nathalie, Grosset-Jeannin, Deborah, Ungureanu, Aurelian , Boyer, L, Suchet, Laurent , Elias, Zyad, Brochet, Bruno, Defer, Gilles , Branger, Pierre , Clavelou, Pierre, Taithe, Frédéric, Alkhedr, Adullatif, Fromont, Agnès, Hautecoeur, Patrick, Androdias, G. , Ionescu, Iuliana, Pelletier, Jean , Audoin, Bertrand , Labauge, Pierre, Debouverie, Marc, Laplaud, David, Wiertlevski, Sandrine, Bresch, Saskia , Castelnovo, Giovanni, Papeix, Caroline , Lubetzki, Catherine , Stankoff, Bruno, Fontaine, Bertrand , Giannesini, C. , Heinzleff, Olivier, Bourre, Bertrand, Gout, Olivier , Guegen, Antoine, Leray, Emmanuelle , Guennoc, Anne Marie , Broucker, T. de , Sehaki, Sabrina, Devys-Meyer, Nathalie, Bereau, Mathieu, Cappe, Chrystelle, Kounkou, Katy-Kim, Dumont, Émilie , Lescieux, Edwige, Protin, Alexia, Kane, Maty Diop, Boucher, Julie, Petit, Julie, Kasonde, Irène Tabellah, Vilmarrest, Aymeric de, Nicol, Marie , Malbezin, Muriel, Olaiz, Javier, Rigaud-Bully, Claire, Vukusic, Irena, Debard, Nadine, Cotton, François, Abdelalli, Amalle, Lelio, Bernadette Di, Pinna, Frédéric , Guillemin, Francis, Ziegler, Amandine, Zehrouni, Karima, Hodel, Jérôme , Wahab, Abir , Zedet, Mickaël, Fagniez, Ombeline, Laage, Clémence, Pottier, Corinne , Slesari, Iuliana, Sampaio, Mathilde, Rabois, Emilie, Castex, Cédric , Hébant, Benjamin , Guillaume, Maxime , Vimont, Christine, Muraz, Romain, Port, Damien Le, Henry, Carole , Berthe, Carole, Freitas, Noellie, Visneux, Vincent, Forestier, M., Beltran, S. , Meunier, Géraldine, Servan, Jérôme, Pico, Fernando, Chatagner, Virginie, Siva, Aksel , Thouvenot, Eric , Ciron, Jonathan , Durand-Dubief, Françoise , Lebrun‐Frénay, Christine , Mondot, Lydiane , Zéphir, Hélène , Laplaud, David , Seze, Jerome De , Bourre, Bertrand , Casez, Olivier , Clavelou, Pierre , Vermersch, Patrick , Cohen, Mikaël , Okuda, Darin T. , Vukusic, Sandra , Investigators, RISC, SFSEP, and OFSEP, Azevedo, Christina, Morel, Nathalie, Boyer, Latine, Ouallet, Jean‐Christophe , Clavelou, Pierre, Outteryck, Olivier , Hautecoeur, Patrick, Ayrignac, Xavier , Carra‐Dallière, Clarisse , Labauge, Pierre, Laplaud, David, Maillart, Elisabeth , Bourre, Bertrand, Michel, Laure , Magy, Laurent , Collongues, Nicolas , Biotti, Damien , Béreau, Matthieu , Casey, Romain , Muraz, Romain, Forestier, Melanie

JAMA Network Open | October 17, 2021 | Volume: 4 | Issue: 10 | Pages: e2128271

10.1001/jamanetworkopen.2021.28271 | PMID 34633424 Get It

Factors that Influence Intent to Share Genetic Information Related to Cancer Risk with Family Members
Finn, Kelsey Stuttgen , Pacyna, Joel E. , Tsou, Cindy Azevedo, Samadder, N. Jewel , Sharp, Richard R. , Stuttgen, Kelsey , Tsou, Cindy, Samadder, Niloy J, Sharp, Richard R

Journal of Health Communication | September 2, 2021 | Volume: 26 | Issue: 8 | Pages: 545-552

10.1080/10810730.2021.1968078 | PMID 34473010 Get It

Abstract PD10-05: Universal genetic testing in breast cancer patients: A multi-center prospective study
Ertz-Archambault, Natalie , Rhodes, Deborah J. , Northfelt, Donald W. , Wick, Myra , Riegert‐Johnson, Douglas L. , Okuno, Scott H. , Golafshar, Michael A. , Azevedo, Cindy, Pls, Usón, Klint, Margaret, Mantia, Sarah, Hager, Megan M., Stewart, Keith, Samadder, N. Jewel , Golafshar, Michael , Ernst, Brenda , Kunze, Katie L. , Esplin, Edward D. , Nussbaum, Robert L.

Cancer Research | February 15, 2021 | Volume: 81 | Issue: 4_Supplement | Pages: PD10-05-PD10-05

10.1158/1538-7445.sabcs20-pd10-05 Get It

Abstract Background: Hereditary factors play a key role in the risk of developing breast cancers. Identification of a germline predisposition can have important implications for treatment decisions, risk-reducing interventions, cancer screening, and testing for family members. Aim: To determine the prevalence of pathogenic or likely pathogenic germline mutations (P/LP) using a “universal” testing approach and uptake of no-cost cascade family testing in patients with breast cancer. Methods: We undertook a prospective multi-site study of germline genetic alterations among breast cancer patients receiving care at Mayo Clinic cancer centers in Rochester, MN; Eau Claire, WI; Jacksonville, FL and Phoenix, AZ between April 1, 2018 and March 31, 2020. Patients with a new or active breast cancer diagnosis (all stages) irrespective of cancer family history were tested with a >80-gene next generation sequencing panel.Results: Of 390 patients, the median age was 58 years (SD 12.3), 1% were male, 85% were white and 28% had advanced (stage 3-4) disease. P/LP were found in 12.1% (n=47) of patients, including 29 in moderate and high penetrance cancer susceptibility genes. 13 (3.3%) patients had mutations in BRCA1 or 2, while 33 (8.4%) had mutations in BRCAness (ATM, BAP1, BARD1, BLM, BRCA1, BRCA2, BRIP1, CHEK2, NBN, PALB2, RAD50, RAD51C, RAD51D, WRN) associated genes. Of the P/LP findings the most frequent aberrations were in BRCA2 (13.5%), BRCA1 (11.5%), CHEK2 (11.5%), MUTYH (11.5%), and WRN (9.6%). Variants of uncertain significance were found in 209 (53.6%) including 26 (6.6%) with concurrent P/LP and VUS. 37 (9.4%) patients had mutations associated with published management recommendations, precision therapies and/or clinical trial eligibility. 10 (2.6%) patients had P/LP that would not have met current screening guidelines, including 4 with moderate or high penetrance mutations. Patients with younger age of diagnosis were less likely than patients with older age of diagnosis to have a P/LP mutation (OR= 0.47, 95%CI: 0.25-0.90 p = 0.020). Only 10 (21%) patients with P/LP had family members undergo familial site- specific testing at no cost.Conclusions: In this prospective multi-center study of unselected breast cancer patients, universal multi-gene panel testing found that 1 in 8 patients harbor P/LP germline variants. Current guidelines were able to identify the majority of patients with P/LP mutations. Familial site specific testing is greatly under-utilized even when cost is not a barrier. Multigene panels impact cancer patient care by identifying precision medicine treatment interventions, and guiding long-term medical management and preventive surveillance. Citation Format: Brenda Ernst, Natalie Ertz-Archambault, Deborah J Rhodes, Donald W Northfelt, Myra Wick, Douglas L Riegert-Johnson, Scott Okuno, Katie Kunze, Michael Golafshar, Cindy M Azevedo, PLS Uson Junior, ED Esplin, Robert Nussbaum, Margaret Klint, Sarah Mantia, Megan Hager, Keith Stewart, Niloy Jewel Samadder. Universal genetic testing in breast cancer patients: A multi-center prospective study [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 PD10-05.
Clinical significance of SLN benign capsular nevi in patients with melanoma
Yamashita, Thomas Szabo , Pockaj, Barbara A. , Flotte, Thomas J. , Azevedo, Rafael Ulysses de, Harmsen, William S. , Block, Matthew S. , Jakub, James W. , Yamashita, Thomas S, Fahy, Aodhnait S. , de Azevedo, Rafael U, Jakub, James W , Szabo Yamashita, Thomas , Bagaria, Sanjay P.

Journal of Surgical Oncology | July 23, 2020 | Volume: 122 | Issue: 6 | Pages: 1043-1049

10.1002/jso.26135 | PMID 33616952 Get It

AbstractBackgroundBenign capsular nevi (BCN) are not infrequent in sentinel lymph nodes (SLN) of patients with melanoma. Their prognostic significance is unknown and the literature is limited. This study evaluated the clinical significance of incidentally found BCN in these patients.MethodsA multi‐institutional retrospective review of patients undergoing SLN biopsy for cutaneous melanoma between 2000 and 2016. Patients were divided into the following groups: (a) negative SLN and no BCN, (b) negative SLN and presence of BCN, (c) positive SLN seen only on immunohistochemistry (IHC), and (d) positive SLN via hematoxylin and eosin (H&E). Outcomes measured were overall survival and any recurrence.ResultsA total of 1253 patients were identified (group 1 = 978, group 2 = 56, group 3 = 32, and group 4 = 187). Fifty‐seven percent were male and the mean age was 59.3 years. BCN was identified in 77 patients (6.2%), of which the majority was in the node‐negative group (72%). Multivariable analysis showed that BCN was associated with lower recurrence rates, though not statistically significant (hazard ratio [HR] = 0.5; P = .06). IHC‐ and H&E‐positive SLNs were associated with a higher risk of recurrence (HR = 2.4; P = .02 and 2.0, P < .0001, respectively).ConclusionPatients with BCN and negative SLN had lower recurrence rates than patients with negative SLN and no BCN. Our data suggest a possible protective effect against recurrence.