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254 citation(s) found for "Hussain, B".

Left-Sided Prosthetic Valve Dysfunction and Gastrointestinal Bleeding
Hussain, Kifah , Kattoor, Ajoe John , Parfieniuk, Agata, Achebe, Ikechukwu , Liu, Bolun , Doukky, Rami

No container title available | April 5, 2022 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.22541/au.164915921.19600567/v1 Get It

Purpose We sought to investigate the association between left-sided prosthetic valve dysfunction and gastrointestinal (GI) bleeding. Methods In a retrospective cohort of patients with left-sided prostheses, we identified those who experienced one or more GI bleeds. The latest or chronologically closest echocardiogram to the GI bleed was analyzed by a blinded investigator for prosthetic valve dysfunction. Results Among 334 unique patients, 166 had aortic prostheses, 127 had mitral prostheses, and 41 had both. A total of 58 (17.4%) subjects had GI bleeding events. Patients in the “GI Bleed” group had higher mean ejection fraction (56±14% vs. 49±15%; P = 0.003) and higher prevalence of hypertension, end-stage renal disease, and liver cirrhosis compared to the “No GI Bleed” group. There was a higher prevalence of moderate or severe prosthetic valve regurgitation in the GI Bleed vs. No GI Bleed group (8.6% vs. 2.2%; P = 0.027). Moderate or severe prosthetic valve regurgitation was independently associated with GI bleeding (odds ratio, 6.18; 95% confidence interval, 1.27-30.05; P = 0.024), after adjusting for ejection fraction, hypertension, end-stage renal disease and liver cirrhosis. Paravalvular regurgitation was associated with a higher incidence of GI bleeding compared to transvalvular regurgitation (35.7% vs. 11.9%; P = 0.044). The prevalence of prosthetic valve stenosis was similar between the GI Bleed and No GI Bleed groups (6.9% vs. 5.8%; P = 0.761). Conclusion In a cohort of patients with predominantly surgically placed prosthetic valves, moderate to severe left-sided prosthetic valve regurgitation was independently associated with GI bleeding.
The Therapeutic Potential of Exosomes in Soft Tissue Repair and Regeneration
Wan, Rou , Moran, Steven L. , Zhao, Chunfeng , Hussain, Arif , Behfar, Atta

International Journal of Molecular Sciences | March 31, 2022 | Volume: 23 | Issue: 7 | Pages: 3869

10.3390/ijms23073869 | PMID 35409228 Get It

Soft tissue defects are common following trauma and tumor extirpation. These injuries can result in poor functional recovery and lead to a diminished quality of life. The healing of skin and muscle is a complex process that, at present, leads to incomplete recovery and scarring. Regenerative medicine may offer the opportunity to improve the healing process and functional outcomes. Barriers to regenerative strategies have included cost, regulatory hurdles, and the need for cell-based therapies. In recent years, exosomes, or extracellular vesicles, have gained tremendous attention in the field of soft tissue repair and regeneration. These nanosized extracellular particles (30–140 nm) can break the cellular boundaries, as well as facilitate intracellular signal delivery in various regenerative physiologic and pathologic processes. Existing studies have established the potential of exosomes in regenerating tendons, skeletal muscles, and peripheral nerves through different mechanisms, including promoting myogenesis, increasing tenocyte differentiation and enhancing neurite outgrowth, and the proliferation of Schwann cells. These exosomes can be stored for immediate use in the operating room, and can be produced cost efficiently. In this article, we critically review the current advances of exosomes in soft tissue (tendons, skeletal muscles, and peripheral nerves) healing. Additionally, new directions for clinical applications in the future will be discussed.
Abstract 20985: CHA2DS2-VASc Score Predicts Risk of Incident Stroke in Patients Without Atrial Fibrillation/ Flutter in a Referral Population
Hussain, Nasir , Kopecky, Stephen L. , Allison, Thomas G. , Hussain, Nasir, Gersh, Bernard J. , Thomas, Randal J.

Circulation | March 19, 2022 | Volume: 136 | Issue: suppl_1 | Pages: No page available

10.1161/circ.136.suppl_1.20985 Get It

Background: CHA2DS2-VASc score has been shown to predict occurrences of incident stroke in patients with history of atrial fibrillation (A-Fib)/ Flutter. However, data on whether if CHA2DS2-VASc score would predict incidence of stroke in patients without A-Fib/ Flutter is less clear. Methods: From 1993 through 2010, all patients undergoing a clinically indicated treadmill exercise test (TMET) at the Mayo Clinic, Rochester, MN were identified (N= 76,857). From this, Olmsted and neighboring counties residents were selected (N=14,095). From this, patients with age <18 years; prior history of valvular heart disease or A-Fib/ Flutter were excluded. Patient undergoing only Bruce or accelerated Naughton protocols on TMET were considered. Patients were stratified into 4 groups at baseline based on CHA2DS2-VASc score as determined at the time of TMET; group-0 score=0; group-I=1; group-2=2; group-3≥3. Patients were prospectively followed from the date of TMET until end of January 2016 for occurrence of incident stroke (ischemic and hemorrhagic). Stroke diagnosis was ascertained through retrospective chart review. Traumatic intracranial bleed was not considered. Proportional hazard regression modeling was done to assess relationship of CHA2DS2-VASc score with the stroke outcome while adjusting for METs achieved, sex, obesity, smoking status, and other relevant risk factors. Results: Final study population comprised of 12,624 patients with female comprising 37% of the cohort. Mean age in our study group was 52.2 ± 12.8 years. During an overall median follow-up of 14 (8 to 17) years, 1,255 (9.9%) patients developed incident stroke. While using CHA2DS2-VASc group-3 as referent, patients in CHA2DS2-VASc group-0 [0.18(0.14-0.23, p<.001)], group-1[0.33 (0.28-0.39, p<.001)], and group-2 [0.50 (0.43-0.58, p<.001)] were at significantly lower risk of developing stroke. Each increase of one point on the CHA2DS2-VASc scale was associated with a 51% [1.51(1.45-1.58, p<.001)] increase in incidence of stroke. Conclusion: CHA2DS2-VASc score predicts incidence of stroke in patients without history of A-Fib/ Flutter.
Exosomes for Regulation of Immune Responses and Immunotherapy
Hussain, Md Walid Akram , Jahangir, Sarah , Ghosh, Bikona , Yesmin, Farjana, Anis, Afnan , Satil, Sabikun Nahar, Anwar, Faizan , Rashid, Mohammad H.

Journal of Nanotheranostics | March 16, 2022 | Volume: 3 | Issue: 1 | Pages: 55-85

10.3390/jnt3010005 Get It

Exosomes are membrane-enveloped nanosized (30–150 nm) extracellular vesicles of endosomal origin produced by almost all cell types and encompass a multitude of functioning biomolecules. Exosomes have been considered crucial players of cell-to-cell communication in physiological and pathological conditions. Accumulating evidence suggests that exosomes can modulate the immune system by delivering a plethora of signals that can either stimulate or suppress immune responses, which have potential applications as immunotherapies for cancer and autoimmune diseases. Here, we discuss the current knowledge about the active biomolecular components of exosomes that contribute to exosomal function in modulating different immune cells and also how these immune cell-derived exosomes play critical roles in immune responses. We further discuss the translational potential of engineered exosomes as immunotherapeutic agents with their advantages over conventional nanocarriers for drug delivery and ongoing clinical trials.
A systematic review and network meta-analysis evaluating neoadjuvant treatments in muscle-invasive bladder cancer.
Ikram, Waleed, Naqvi, Syed Arsalan Ahmed , Fatima, Ezza, Islam, Mahnoor, Asghar, Noureen, Khakwani, Kaneez Zahra Rubab, Khan, Ahsan Masood , Sonpavde, Guru , Siddiqi, Rabbia , Xu, Wenxin Vincent , Hussain, Syed A. , Bryce, Alan H. , Riaz, Irbaz Bin , Singh, Parminder Pal

Journal of Clinical Oncology | February 16, 2022 | Volume: 40 | Issue: 6_suppl | Pages: 518-518

10.1200/jco.2022.40.6_suppl.518 Get It

518 Background: Cisplatin (C) based neoadjuvant chemotherapy (NAC) has been the mainstay treatment for muscle invasive bladder cancer (MIBC). However, the optimal choice of NAC is not well-established. We therefore conducted a network-meta-analysis (NMA) to assess comparative efficacy of different treatment options. Methods: Several electronic databases (MEDLINE, and EMBASE) and conference proceedings were systematically used to identify randomized trials evaluating first-line treatments in neoadjuvant MIBC. Outcomes of interest included overall survival (OS), progression-free survival (PFS), objective response rate (ORR) and pathologic complete response (pCR). DerSimonian-Laird random-effects meta-analysis was used to compute direct comparisons between NAC and local therapy (LT) only. Fixed effect NMA was conducted within the frequentist framework for mixed treatment comparisons. P-scores were used to assess relative treatment rankings. All statistical analyses were conducted in R (v 4.1.1). Results: This systematic review included 23 trials (25 references) with a total of 5313 patients with 10 unique treatments. Direct comparisons showed significant benefit in PFS (HR: 0.82; 95% CI: 0.71-0.94), and in OS (HR: 0.85; 95% CI: 0.78-0.92) with NAC when compared to LT only. However, the likelihood of achieving an objective response (RR: 1.18; 95% CI: 0.72-1.95: I2: 85%) or CR (RR: 1.51; 95% CI: 0.87-2.61; I2: 79%) was not different between the two arms. Data available in 15 trials contributed to the network for PFS outcome while only eight trials contributed to OS outcome. Mixed treatment comparisons showed significantly improved PFS with nintedanib-gemcitabine-cisplatin (NinGC; HR: 0.42; 95% CI: 0.20-0.87) and dose-dense-methotrexate-vinblastine-doxorubicin-cisplatin (ddMVAC; HR: 0.61; 95% CI: 0.43-0.88) compared to LT only. Consistent benefit was observed when NinGC (HR: 0.48; 95% CI: 0.24-0.97) and ddMVAC (HR: 0.70; 95% CI: 0.51-0.96) were compared to GC only. However, no significant differences were observed between NinGC (rank 1) and ddMVAC (rank 2) or among other mixed treatment comparisons. Similarly, OS was significantly improved with NinGC (rank 1) relative to MVAC (HR: 0.41; 95% CI: 0.17-0.97), MVC (HR: 0.37; 95% CI: 0.16-0.88), MC (HR: 0.38; 95% CI: 0.16-0.92), AC (HR: 0.36; 95% CI: 0.15-0.91), and GC (HR: 0.39; 95% CI: 0.17-0.90). While similar results were observed with ddMVAC (rank 2) when compared to MVC (HR: 0.63; 95% CI: 0.42-0.94), MC (HR: 0.64; 95% CI: 0.42-0.98), and GC (HR: 0.66; 95% CI: 0.47-0.92), no significant differences were observed with ddMVAC when compared to MVAC (HR: 0.62; 95% CI: 0.38-1.01) and NinGC (HR: 1.70; 95% CI: 0.69-4.19). Conclusions: Current evidence shows improved PFS and OS with the use of neoadjuvant ddMVAC and Nin-GC in patients with MIBC relative to other treatment options.
First-line treatment options in metastatic castration-sensitive prostate cancer: A systematic review and network meta-analysis.
Naqvi, Syed Arsalan Ahmed , Ikram, Waleed, Asghar, Noureen, Khakwani, Kaneez Zahra Rubab, Khalid, Atiqa , Riaz, Irbaz Bin , Siddiqi, Rabbia , Hussain, Syed A. , Singh, Parminder Pal , Bryce, Alan H.

Journal of Clinical Oncology | February 16, 2022 | Volume: 40 | Issue: 6_suppl | Pages: 132-132

10.1200/jco.2022.40.6_suppl.132 Get It

132 Background: Treatment landscape for metastatic castration-sensitive prostate cancer (mCSPC) is rapidly evolving. Recent updates of relevant trials and presentation of PEACE-1 results warranted mixed treatment comparisons to inform the choice of treatment in mCSPC. Methods: MEDLINE and EMBASE, along with conference proceedings were searched using a systematic search strategy to identify relevant abstracts and full-text publications of phase II/III randomized controlled trials (RCTs) assessing first-line treatment options in mCSPC. Outcomes of interest included overall survival (OS), radiographic progression-free survival (rPFS), and grade ≥3 adverse events (AEs). Direct comparisons were made using DerSimonian-Laird random-effects meta-analysis. Fixed-effect frequentist NMA was conducted to compute network estimates using a multivariate meta-regression approach. Relative treatment rankings were assessed in congruency with direct estimates using P-scores. Secondary NMAs were conducted in several substrata (young, and old; Gleason score < 8 and ≥8; performance status 0 and 1-2, low and high volume of disease). Results: This NMA included nine trials (23 references) with nine unique treatments. rPFS was improved with abiraterone acetate and prednisone-docetaxel-androgen deprivation therapy combination (AAP-D-ADT; rank 1) when compared against most treatment options including AAP-ADT (HR: 0.58, 95% CI: 0.44-0.76; rank 5), apalutamide (APA)-ADT (HR: 0.63, 95% CI: 0.46-0.87; rank 4), TAK-ADT (HR: 0.55, 95% CI: 0.36-0.84; rank 6), and enzalutamide(E)-AAP-ADT (HR: 0.70, 95% CI: 0.51-0.97; rank 3), however no significant differences were observed between AAP-D-ADT, and E+ADT (rank 2). Improved OS was observed with AAP-D-ADT (HR: 0.75, 95% CI: 0.59-0.95; rank 2), E-AAP-ADT (HR: 0.68; 95% CI: 0.48-0.97; rank 1), and AAP-ADT (HR: 0.82, 95% CI: 0.70-0.96; rank 3) compared to D+ADT (rank 6). However, most of the mixed treatment comparisons were statistically insignificant in terms of OS. Similarly, in patients with high volume of disease, AAP+D+ADT (rank 1) was observed to significantly improve rPFS compared to AAP-ADT, APA-ADT, E-ADT, and D-ADT; however, no significant differences were observed among treatment comparisons with regards to OS improvement. E+ADT (rank 1) improved rPFS compared to other treatment in low volume disease but was not different for OS. No significant differences were observed among different treatment options when compared across prespecified subgroups. Moreover, AAP+D+ADT was ranked as the least safe with significantly increased risk of grade 3 AEs relative to other treatments. Conclusions: Current NMA suggests that triplet therapy options were ranked as most likely to improve rPFS and OS at the cost of increased toxicity. Doublet combinations may still be preferred for older patients with low volume of disease.
A quantitative synthesis of disparities in the inclusion of racial/ethnic minorities and older adults in prostate cancer clinical trials over the last three decades.
Islam, Mahnoor, Ikram, Waleed, Naqvi, Syed Arsalan Ahmed , Riaz, Anum, Ravi, Praful , Odedina, Folakemi T., Duma, Narjust , Riaz, Irbaz Bin , Maqsood, Hamza , Saleem, Yusra, Hussain, Syed A. , Warner, Jeremy L. , Singh, Parminder Pal , Bryce, Alan H.

Journal of Clinical Oncology | February 16, 2022 | Volume: 40 | Issue: 6_suppl | Pages: 26-26

10.1200/jco.2022.40.6_suppl.026 Get It

26 Background: The underrepresentation of minority populations in clinical trials negatively impacts cancer and widens inequities. We aimed to quantify the enrollment disparities in prostate cancer (PC) clinical trials over the last three decades. Methods: MEDLINE and Embase were searched to identify primary reports of prostate cancer RCTs (1989-2020). Data for trial characteristics, the proportion of trials reporting race, ethnicity and age, and the proportion of patients by race, ethnicity and age enrolled in trials were summarized using descriptive statistics. Enrollment incidence ratios (EIR), which compare trial enrollment against global estimates of incidence in age-related subgroups (acquired from the Global Burden of Disease database) and U.S. population-based estimates of racial/ethnic subgroups (acquired from the SEER 18 incidence database) were calculated. Individual trial EIRs were pooled using random-effects meta-analyses to account for the substantial heterogeneity between trials. Multivariable meta-regression was used to explore associations between key trial characteristics and EIR. Annual percentage changes (APC) over the last three decades in enrollment disparities were analyzed using the Joinpoint Regression Analysis. Results: 281 trials from 1989 to 2020 with 99,588 patients were included in this analysis. 107 trials reported race (38%), of which only 25 trials (9%) reported data on all 5 U.S. racial categories (Black, White, Asian, Pacific Islander and Native American. 255 (91%) trials reported mean or median but only 71 trials (25%) specifically reported the enrollment proportion of older adults (age > 65 years). Clinical outcomes by race and age were reported in 9 (8%) and 37 (14%) trials, respectively. Results from meta-analyses showed that Black patients (summary EIR: 0.42 [95% CI: 0.35 - 0.51]), Hispanics (summary EIR: 0.50 [95% CI: 0.37 - 0.68]) and older adults (summary EIR: 0.95 [95% CI: 0.91 - 0.99]) were underrepresented in trials relative to their population estimates. Significantly fewer Black participants (EIR for Black patients = 0.42, EIR for White patients = 0.99; p < 0.0001), Hispanic participants (EIR for Hispanics = 0.50, EIR for non-Hispanics = 1.00; p = 0.001) and older adults (EIR for older adults = 0.95, EIR for younger adults = 1.06; p = 0.037) were enrolled. Representation of Black patients decreased significantly from 1989-2019 (APC: -4.25), while Hispanic representation increased significantly from 2000-2020 (APC: 5.89). Meta-regression showed Black patients were particularly underrepresented in larger-size trials (p < 0.0001). Conclusions: Black representation in PC clinical trials is less than 50% of their expected share based on cancer incidence and it has consistently decreased over last three decades, contributing to the disparities experienced by the population.
Cancer Incidence, Mortality, Years of Life Lost, Years Lived With Disability, and Disability-Adjusted Life Years for 29 Cancer Groups From 2010 to 2019
Kocarnik, Jonathan , Compton, Kelly, Dean, Frances , Fu, Weijia , Gaw, Brian, Harvey, James , Henrikson, Hannah , Lu, Dan , Pennini, Alyssa, Xu, Rixing, Ababneh, Emad , Abbasi‐Kangevari, Mohsen , Abbastabar, Hedayat , Abd‐Elsalam, Sherief , Abedi, Aidin , Abidi, Hassan , Abolhassani, Hassan , Adedeji, Isaac Akinkunmi , Advani, Shailesh M, Aghaali, Mohammad , Ahmad, Tauseef , Rashid, Tarik A. , Salih, Yusra Ahmed , Aklilu, Addis , Akram, Tayyaba , Akunna, Chisom Joyqueenet , Hamad, Hanadi Al , Alahdab, Fares , Alimohamadi, Yousef, Alipour, Vahid, Alkhayyat, Motasem , Almasri, Nihad A. , Al‐Maweri, Sadeq Ali , Almustanyir, Sami , Alonso, Nivaldo , Alvis‐Guzmán, Nelson , Amu, Hubert , Ansari, Fereshteh, Antwi, Maxwell Hubert , Anvari, Davood , Anyasodor, Anayochukwu Edward , Aqeel, Muhammad , Arabloo, Jalal , Aremu, Olatunde , Ariffin, Hany , Aripov, Timur , Arshad, Muhammad , Artaman, Al, Arulappan, Judie , Jafarabadi, Mohammad Asghari , Ashraf, Tahira , Atorkey, Prince , Ausloos, Marcel , Awedew, Atalel Fentahun , Quintanilla, Beatriz Paulina Ayala , Ayenew, Temesgen , Azab, Mohammed A. , Azadnajafabad, Sina , Jafari, Amirhossein Azari , Azarian, Ghasem , Badiye, Ashish , Bahadory, Saeed , Baig, Atif Amin , Baker, Jennifer L. , Balakrishnan, Senthilkumar , Bärnighausen, Till , Barone‐Adesi, Francesco , Barrow, Amadou , Belgaumi, Uzma , Bezabhe, Woldesellassie, Bezabih, Yihienew Mequanint , Bhagat, Devidas S. , Bhagavathula, Akshaya Srikanth , Bhardwaj, Nikha , Bhaskar, Sonu , Bhojaraja, Vijayalakshmi S, Bibi, Sadia , Bijani, Ali , Bisignano, Catherine, Bolarinwa, Obasanjo Afolabi , Bolla, Srinivasa Rao , Braithwaite, Dejana , Brar, Amanpreet , Brenner, Hermann , Bustamante-Teixeira, Maria Teresa , Butt, Nadeem Shafique , Butt, Zahid A , Santos, Florentino Luciano Caetano dos , Cao, Yin , Carreras, Giulia , Catalá-López, Ferrán , Cembranel, Francieli , Cerin, Ester , Cernigliaro, Achille , Chakinala, Raja Chandra , Chattu, Soosanna Kumary , Chattu, Vijay Kumar , Chaturvedi, Pankaj, Chimed‐Ochir, Odgerel , Cho, Daniel , Chu, Dinh‐Toi , Conde, João , Cortés, Sandra , Cortesi, Paolo Angelo, Costa, Vera Marisa , Cunha, Amanda Ramos da , Dadras, Omid , Dagnew, Amare Belachew , Dandona, Lalit , Dandona, Rakhi , Hoz, Fernando de la , Dhamnetiya, Deepak , Dhimal, Mandira Lamichhane , Díaz, Daniel , Djalalinia, Shirin , Doaei, Saeid , Dorostkar, Fariba, Driscoll, Tim , Ebrahimi, Hedyeh , Eftekharzadeh, Sahar , Tantawi, Maha El , El‐Abid, Hassan , Elbarazi, Iffat , Elhabashy, Hala Rashad , Elhadi, Muhammed , Eshrati, Babak, Esmaeilzadeh, Firooz , Etemadi, Arash , Ezzikouri, Sayeh , Faisaluddin, Mohammed, Fares, Jawad , Farzadfar, Farshad , Feroze, Abdullah , Desideri, Lorenzo Ferro , Fischer, Florian , Fisher, James L. , Fukumoto, Takeshi , Gad, Mohamed M. , Fonseca, Mariana Gaspar, Obsa, Abera Getachew, Ghafourifard, Mansour , Ghashghaee, Ahmad , Ghith, Nermin , Gholamalizadeh, Maryam , Gilani, Syed Amir , Gizaw, Abraham Tamirat , Glasbey, James , Golechha, Mahaveer , Goleij, Pouya , Gopalani, Sameer Vali , Gorini, Giuseppe , Goudarzi, Houman , Gubari, Mohammed Ibrahim Mohialdeen , Guerra, Maximiliano Ribeiro, Guha, Avirup , Gunasekera, Sanjeeva , Gupta, Bhawna , Gupta, Vivek , Gutiérrez, Reyna Alma, Hafezi‐Nejad, Nima , Haider, Mohammad Rifat , Hameed, Sajid , Hanif, Asif , Haque, Shafiul , Harlianto, Netanja I. , Hasaballah, Ahmed I , Hay, Simon I , Heidari, Golnaz , Herrera-Serna, Brenda Yuliana , Herţeliu, Claudiu , Hezam, Kamal , Hossain, Mohammad Bellal , Hosseini, Mohammad‐Salar , Hosseini, Mostafa, Hosseinzadeh, Mehdi , Hostiuc, Mihaela , Househ, Mowafa , Hsaïri, Mohamed, Huang, Junjie , Hugo, Fernando Neves , Hussain, Rabia , Hussein, Nawfal R , Hwang, Bing‐Fang , Ibitoye, Segun Emmanuel , Ida, Fidelia , Ikuta, Kevin S , Ilić, Irena , Irham, Lalu Muhammad , Islam, Jessica Y. , Islam, Sheikh Mohammed Shariful , Ismail, Nahlah Elkudssiah , Isola, Gaetano , Iwagami, Masao , Jacob, Louis , Jain, Vardhmaan , Jakovljević, Mihajlo, Javaheri, Tahereh , Jayaram, Shubha, Jha, Ravi Prakash , Jonas, Jost B, Joó, Tamás , Joseph, Nitin , Joukar, Farahnaz, Jürisson, Mikk , Kalankesh, Leila R , Kalhor, Rohollah , Kalkonde, Yogeshwar , Kamath, Ashwin , Al-Salihi, Nawzad Kameran, Kandel, Himal , Kapoor, Neeti , Kasa, Ayele Semachew , Keshavarz, Pedram , Keykhaei, Mohammad , Khader, Yousef , Khalilov, Rovshan , Khan, Maseer , Khan, Md Nuruzzaman , Khan, Moien AB , Khang, Young-Ho, Khater, Amir M, Kısa, Adnan , Kısa, Sezer , Kopec, Jacek A , Koteeswaran, Rajasekaran , Koul, Parvaiz A , Laxminarayana, Sindhura Lakshmi Koulmane , Biçer, Burcu Küçük , Kugbey, Nuworza , Kumar, G Anil , Kurmi, Om , Kutluk, Tezer, Lami, Faris Hasan, Lee, Yo Han , Leigh, James , Leong, Elvynna , Li, Ming‐Chieh , Liu, Xuefeng , Loureiro, Joana A. , Lunevičius, Raimundas , Razek, Muhammed Magdy Abd El, Majeed, Azeem , Makki, Alaa, Male, Shilpa, Malik, Ahmad Azam , Martini, Santi , Masoumi, Seyedeh Zahra , Mehrotra, Ravi , Mendoza, Walter, Mengesha, Endalkachew Worku , Mesregah, Mohamed Kamal , Jonasson, Junmei Miao , Miazgowski, Bartosz , Miazgowski, Tomasz , Michałek, Irmina Maria , Miller, Ted R. , Mirzaei, Hamid Reza , Misra, Sanjeev , Mithra, Prasanna , Moghadaszadeh, Masoud, Mohammad, Karzan Abdulmuhsin , Mohammad, Yousef , Mohammadi, Mokhtar , Mohammadi, Seyyede Momeneh, Mohammadian-Hafshejani, Abdollah , Mohammed, Shafiu , Moka, Nagabhishek , Mokdad, Ali H. , Molokhia, Mariam , Monasta, Lorenzo , Moosavi, Mohammad Amin , Moradi, Yousef , Moraga, Paula , Morgado-da-Costa, Joana, Mubarik, Sumaira , Mwanri, Lillian , Nagarajan, Ahamarshan Jayaraman , Nagata, Chie , Naimzada, Mukhammad David , Nangia, Vinay, Naqvi, Atta Abbas , Swamy, Sreenivas Narasimha, Negoi, Ionuţ , Negru, Șerban , Kandel, Sandhya Neupane , Nguyen, Cuong Tat , Niazi, Robina Khan, Nnaji, Chukwudi A , Noor, Nurulamin M , Nzoputam, Chimezie Igwegbe , Oancea, Bogdan , Ogbo, Felix Akpojene , Olagunju, Andrew T , Olakunde, Babayemi O. , Omar, Emad, Bali, Ahmed Omar , Omonisi, Abidemi , Ong, Sokking, Onwujekwe, Obinna , Ortega-Altamirano, Doris V , Otstavnov, Stanislav S , Mahesh, P A , Pakshir, Keyvan , Pană, Adrian , Panagiotakos, Demosthenes B. , Panda‐Jonas, Songhomitra, Park, Eun‐Cheol , Park, Eun‐Kee , Kan, Fatemeh Pashazadeh , Patel, Harsh K. , Patel, Jenil , Pati, Siddhartha , Paudel, Uttam , Pereira, David M. , Pereira, Renato B. , Perianayagam, Arokiasamy , Pillay, Julian David , Pirouzpanah, Saeed , Podder, Indrashis , Postma, Maarten J. , Prashant, Akila , Preoțescu, Liliana , Rabiee, Navid , Radfar, Amir , Radhakrishnan, Raghu , Radhakrishnan, Venkatraman , Rahim, Fakher , Rahimzadeh, Shadi , Rahman, Mosiur , Rahman, Muhammad Aziz , Rajai, Nazanin , Rajesh, Aashish , Ram, Pradhum , Ramezanzadeh, Kiana, Ranabhat, Kamal , Rao, Chythra R , Rao, Sowmya J, Rawassizadeh, Reza , Razeghinia, Mohammad Sadegh , Rezapour, Aziz, Buendía, Jefferson Antonio , Rohloff, Peter , Rwegerera, Godfrey Mutashambara , Manjula, S, Saddik, Basema , Saeed, Umar , Sahoo, Harihar , Salehi, Sana , Salem, Marwa Rashad , Samaei, Mehrnoosh, Samy, Abdallah M , Sanabria, Juan , Sankararaman, Senthilkumar , Santric-Milicevic, Milena M , Sardiwalla, Yaeesh , Sarveazad, Arash , Sathian, Brijesh , Sawhney, Monika, Šekerija, Mario , Seylani, Allen, Shafaat, Omid , Shaikh, Masood Ali , Shannawaz, Mohammed , Sheikhbahaei, Sara , Shetty, Adithi , Shetty, Jeevan K. , Shetty, Pavanchand H, Shirkoohi, Reza , Shivarov, Velizar , Malleshappa, Sudeep K Siddappa , Silva, Diego Augusto Santos , Sintayehu, Yitagesu , Skryabin, Valentin Yurievich , Soeberg, Matthew, Sofi‐Mahmudi, Ahmad , Steiropoulos, Paschalis , Straif, Kurt, Subedi, Ranjeeta , Sultana, Saima , Szerencsés, Viktória , Tabuchi, Takahiro , Tadbiri, Hooman , Takahashi, Ken , Tan, Ker‐Kan , Tat, Vivian Y, Tedla, Bemnet , Tefera, Yonas Getaye , Temsah, Mohamad‐Hani , Tesfay, Fisaha Haile , Tessema, Gizachew Assefa , Thavamani, Aravind , Chandrasekar, Viveksandeep Thoguluva , Touvier, Mathilde , Tovani‐Palone, Marcos Roberto , Traini, Eugenio , Tran, Mai Thi Ngoc , Tripathy, Jaya Prasad , Tusa, Biruk Shalmeno , Ullah, Irfan , Ullah, Saif , Umapathi, Krishna Kishore , Vaezi, Maryam, Tahbaz, Sahel Valadan , Velazquez, Diana Zuleika , Violante, Francesco Saverio , Volovici, Victor , Vu, Giang Thu , Waheed, Yasir , Ward, Paul , Wen, Yi Feng , Westerman, Ronny, Yadav, Lalit , Jabbari, Seyed Hossein Yahyazadeh, Yang, Lin , Yazie, Taklo Simeneh , Yeshaw, Yigizie , Younis, Mustafa Z , Yousefi, Zabihollah , Yunusa, Ismaeel , Zadnik, Vesna , Zare, Fariba , Застрожин, Михаил Сергеевич , Zastrozhina, Anasthasia, Zhang, Jianrong , Zhong, Chenwen, Zhu, Cong , Zimmermann, Ivan Ricardo , Fitzmaurice, Christina , Murray, Christopher J L , Force, Lisa M , Ong, Sok King , Eftekhari, Aziz , Guimarães, André Luiz Sena , Kumar, Vivek , Lami, Faris , Liu, Xuefeng , Baig, Atif Amin , Thoguluva Chandrasekar, Viveksandeep, Kumar, Vivek , Cao, Yin , Brenner, Hermann , Farzadfar, Farshad , Islam, Sheikh Mohammed Shariful , Rahman, Muhammad Aziz , Guha, Avirup , Ebrahimi, Hedyeh , Volovici, Victor , Bhagavathula, Akshaya Srikanth , Jakovljević, Mihajlo , Elhadi, Muhammed , Abdoli, Amir , Adnani, Qorinah Estiningtyas Sakilah , Afzal, Muhammad Sohail, Ahinkorah, Bright Opoku , Ahmad, Sajjad , Ahmadi, Ali , Ahmadi, Sepideh , Akalu, Gizachew Taddesse , Al‐Aly, Ziyad , Ali, Saqib , Aljunid, Syed Mohamed , Almasi‐Hashiani, Amir , Anbesu, Etsay Woldu , Ancuceanu, Robert , Ansari‐Moghaddam, Alireza , Arab-Zozani, Morteza , Asemi, Zatollah , Aujayeb, Avinash , Azzam, Ahmed Y , Banach, Maciej , Barra, Fabio , Behzadifar, Masoud , Bezabhe, Woldesellassie M Mequanint , Bhardwaj, Pankaj , Bhattacharyya, Krittika , Biondi, Antonio , Bjørge, Tone , Bleyer, Archie , Blyuss, Oleg B. , Chaturvedi, Pankaj, Christopher, Devasahayam Jesudas , Chung, Michael T. , Cortesi, Paolo Angelo , Belachew, Amare , Dahlawi, Saad M A , Dai, Xiaochen , Darwesh, Aso Mohammad , Neves, José das , Demis, Asmamaw , Denova‐Gutiérrez, Edgar , Dhimal, Meghnath , Dianatinasab, Mostafa , Do, Huyen Phuc , Doaei, Saeid , Figueiredo, Francisco Winter dos Santos , El-Jaafary, Shaimaa I , Eskandarieh, Sharareh , Faraon, Emerito Jose A , Ferrero, Simone , Filip, Irina , Foroutan, Masoud , Gaál, Péter , Gadanya, Muktar A , Gallus, Silvano , Gomez, Ricardo Santiago , Grosso, Giuseppe , Gupta, Veer Bala , Haj‐Mirzaian, Arvin , Halwani, Rabih , Hamadeh, Randah R , Hamidi, Samer , Haro, Josep María , Hassanipour, Soheil , Hay, Roderick J. , Hayat, Khezar , Heidari, Mohammad , Holla, Ramesh , Hossain, Md Mahbub , Hostiuc, Sorin , Iavicoli, Ivo , Ilesanmi, Olayinka Stephen , Ilić, Milena , Islam, Rakibul M. , Jazayeri, Seyed Behzad , Kabir, Ali , Kahrizi, Danial , Kaliyadan, Feroze , Karch, André , Katikireddi, Srinivasa Vittal , Kauppila, Joonas H. , Kavetskyy, Taras , Kebede, Sewnet Adem , Khan, Gulfaraz , Khang, Young-Ho, Khayamzadeh, Maryam , Kim, Gyu Ri , Kim, Yun Jin , Kissimova‐Skarbek, Katarzyna , Koyanagi, Ai , Kumar, Narinder , Kumar, Nithin , Vecchia, Carlo La , Landires, Iván , Lauriola, Paolo , Lee, Sang Hyuck , Lee, Shaun Wen Huey , Lee, Wei‐Chen , Li, Jiarui , Mansournia, Mohammad Alì , Mathur, Prashant , McKee, Martin , Menezes, Ritesh G. , Meštrović, Tomislav , Mirzaei, Hamed , Moni, Mohammad Ali , Morrison, Shane D. , Mosapour, Abbas , Nagaraju, Shankar Prasad , Ndejjo, Rawlance , Nduaguba, Sabina O. , Nguyen, Huong Lan Thi , Núñez-Samudio, Virginia , Оchir, Chimedsuren , Odukoya, Oluwakemi Ololade , Ong, Sokking, Orru, Hans , Otstavnov, Nikita , Owolabi, Mayowa , Padubidri, Jagadish Rao , Pardhan, Shahina , Pattanshetty, Sanjay M. , Pishgar, Farhad , Pourjafar, Hadi , Rabiee, Mohammad , Rafiee, Ata , Rahmani, Amir Masoud , Rakovac, Ivo , Ranasinghe, Priyanga Diloshini , Renzaho, André M. N. , Rezaei, Negar , Rezaei, Nima , Roberts, Thomas J. , Romoli, Michele , Ronfani, Luca , Roshandel, Gholamreza , Sabour, Siamak , Sahebkar, Amirhossein , Salimzadeh, Hamideh , Şaylan, Mete , Schneider, Ione Jayce Ceola , Shaghaghi, Zahra , Shamsoddin, Erfan , Sharma, Rajesh , Sheikh, Aziz , Shibuya, Kenji , Shivakumar, K. M. , Siabani, Soraya , Singh, Jasvinder A. , Skryabina, Anna Aleksandrovna , Sotoudeh, Houman , Sufiyan, Mu’awiyyah Babale , Sultan, Iyad Yasin , Sur, Daniel Genel , Szócska, Miklós , Tabarés‐Seisdedos, Rafael , Taherkhani, Amir , Talaat, Iman Mamdouh , Tehrani‐Banihashemi, Arash , Thapar, Rekha , Thomas, Nihal , Tohidinik, Hamid Reza , Tran, Bach Xuan , Tran, Khanh Bao , Unnikrishnan, Bhaskaran , Upadhyay, Era , Vacante, Marco , Vaezi, Maryam, Veroux, Massimiliano , Vlassov, Vasily , Vo, Bay, Wamai, Richard G. , Winkler, Andrea Sylvia , Yaya, Sanni , Yonemoto, Naohiro , Yu, Chuanhua , Yüce, Deniz , Zhou, Linghui , Ziapour, Arash , Olagunju, Andrew T , Shivakumar, KM , Baig, Atif Amin , Alahdab, Fares , Asghari-Jafarabadi, Mohammad , Rahim, Fakher

JAMA Oncology | December 30, 2021 | Volume: 8 | Issue: 3 | Pages: 420

10.1001/jamaoncol.2021.6987 | PMID 34967848 Get It

Evaluation and treatment of headache associated with moyamoya disease – a narrative review
Chiang, Chia‐Chun , Shahid, Adnan Hussain , Harriott, Andrea M. , Tietjen, Gretchen E. , Klaas, James P. , Shahid, Adnan H , Savastano, Luis E., Chiang, Chia-Chun , Savastano, Luis , Lanzino, Giuseppe

Cephalalgia | November 17, 2021 | Volume: 42 | Issue: 6 | Pages: 542-552

10.1177/03331024211056250 | PMID 34786968 Get It

Background Headache in patients with moyamoya disease is an under-addressed topic in the medical literature. Delay in the diagnosis of moyamoya disease or inappropriate treatment of headache could lead to devastating cerebrovascular outcome. With the evolving understanding of moyamoya disease, migraine pathophysiology, and various migraine-specific medications that have become available, it is crucial to provide an updated overview on this topic. Methods We searched PubMed for keywords including moyamoya disease, moyamoya syndrome, headache in moyamoya, surgical revascularization, surgical bypass, migraine and moyamoya, and calcitonin gene-related peptide (CGRP). We summarized the literature and provide a comprehensive review of the headache presentation, possible mechanisms, the impact of various surgical revascularizations on headache in patients with moyamoya disease, and the medical management of headache incorporating novel migraine-specific treatments. Results and conclusion: The most common headache phenotype is migraine; tension-type headache, hemiplegic migraine, and cluster headache have also been reported. Most patients experience improvement of headache after surgical revascularization, though some patients report worsening, or new-onset headache after surgery. Given the complexity of moyamoya disease, careful consideration of different types of medical therapy for headache is necessary to improve the quality of life while not increasing the risk of adverse cerebrovascular events. More prospective studies are warranted to better understand and manage headache in patients with moyamoya disease.
Response to Rucaparib in BRCA-Mutant Metastatic Castration-Resistant Prostate Cancer Identified by Genomic Testing in the TRITON2 Study
Loehr, Andrea , Patnaik, Akash , Campbell, David , Shapiro, Jeremy , Bryce, Alan H. , McDermott, Ray , Sautois, Brieuc , Vogelzang, Nicholas J. , Bambury, Richard , Voog, Éric , Zhang, Jingsong , Hussain, Arif , Ryan, Charles J. , Merseburger, Axel S. , Daugaard, Gedske , Heidenreich, Axel , Fizazi, Karim , Higano, Celestia S. , Krieger, Laurence E. , Watkins, Simon P. , Despain, Darrin , Simmons, Andrew D. , Dowson, Melanie, Golsorkhi, Tony, Chowdhury, Simon, Abida, Wassim , Ryan, Charles J , Daugaard, Gedske , Heidenreich, Axel , Sternberg, Cora N , Watkins, Simon P , Simmons, Andrew D , Golsorkhi, Tony , Bryce, Alan H , Vogelzang, Nicholas J , McDermott, Ray , Patnaik, Akash , Piulats, Josep M.

Clinical Cancer Research | October 1, 2021 | Volume: 27 | Issue: 24 | Pages: 6677-6686

10.1158/1078-0432.ccr-21-2199 | PMID 34598946 Get It

Abstract Purpose: The PARP inhibitor rucaparib is approved in the United States for patients with metastatic castration-resistant prostate cancer (mCRPC) and a deleterious germline and/or somatic BRCA1 or BRCA2 (BRCA) alteration. While sequencing of tumor tissue is considered the standard for identifying patients with BRCA alterations (BRCA+), plasma profiling may provide a minimally invasive option to select patients for rucaparib treatment. Here, we report clinical efficacy in patients with BRCA+ mCRPC identified through central plasma, central tissue, or local genomic testing and enrolled in TRITON2. Patients and Methods: Patients had progressed after next-generation androgen receptor–directed and taxane-based therapies for mCRPC and had BRCA alterations identified by central sequencing of plasma and/or tissue samples or local genomic testing. Concordance of plasma/tissue BRCA status and objective response rate and prostate-specific antigen (PSA) response rates were summarized. Results: TRITON2 enrolled 115 patients with BRCA+ identified by central plasma (n = 34), central tissue (n = 37), or local (n = 44) testing. Plasma/tissue concordance was determined in 38 patients with paired samples and was 47% in 19 patients with a somatic BRCA alteration. No statistically significant differences were observed between objective and PSA response rates to rucaparib across the 3 assay groups. Patients unable to provide tissue samples and tested solely by plasma assay responded at rates no different from patients identified as BRCA+ by tissue testing. Conclusions: Plasma, tissue, and local testing of mCRPC patients can be used to identify men with BRCA+ mCRPC who can benefit from treatment with the PARP inhibitor rucaparib.