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686 citation(s) found for "Ma, Bin".

Quantifying absolute benefit of adjuvant treatments in renal cell carcinoma: A systematic review and network-meta-analysis.
Sipra, Qurat Ul Ain Riaz , Naqvi, Syed Arsalan Ahmed , Islam, Mahnoor, Asghar, Noureen, Ikram, Waleed, Siddiqi, Rabbia , Singh, Parminder Pal , Xu, Wenxin Vincent , Ho, Thai H. , Bryce, Alan H. , Riaz, Irbaz Bin

Journal of Clinical Oncology | February 16, 2022 | Volume: 40 | Issue: 6_suppl | Pages: 360-360

10.1200/jco.2022.40.6_suppl.360 Get It

360 Background: Pembrolizumab has been established as an effective treatment option in adjuvant renal cell carcinoma after the publication of KEYNOTE-564. However, the magnitude of benefit based on different risk categories is not well defined. Methods: We included full-text publications of phase II/III randomized controlled trials (RCTs) evaluating immune checkpoint inhibitors or tyrosine kinase inhibitors (TKIs) in adjuvant renal cell carcinoma after a systematic search. The outcomes of interest included disease free survival (DFS), overall survival (OS), all grade or grade ≥3 treatment related, and all cause adverse events. Mixed treatment comparisons were computed through a fixed-effect multivariate meta-regression within the frequent framework. Relative treatment rankings were assessed using P-scores. We used stratified baseline risks of disease progression from observational data and at 5, 10, 15 years from the Leibovich risk stratification system (based on risk scores ranging from 0 to ≥15). Corresponding intervention risks (CIRs) were then approximated using relative effect estimates (from NMA) and baseline risks. The difference between CIRs and baseline risks were calculated to present absolute risk differences in each baseline category. Results: This NMA included six RCTs with a total of 7525 participants and five unique treatment options. Mixed treatment comparisons showed significant DFS and OS benefit with pembrolizumab (rank 1) when compared against sunitinib (DFS HR 0.74 [0.55-0.99]; OS HR 0.51 [0.27-0.94]). However, there were no significant differences with pembrolizumab compared to pazopanib (DFS HR 0.81 [0.60- 1.09]; OS HR 0.54[0.29-1.01]) and axitinib (DFS HR 0.78 [0.54-1.14]; OS HR 0.52 [0.24-1.16]). The safety profiles were comparable. Absolute benefit of TKIs in adjuvant setting was minimal whereas this benefit increased with higher T and N patients in patients treated with pembrolizumab (Table). Similarly, the treatment benefit increased with higher Leibovich’s risk scores at 5, 10 and 15 years of follow up. Conclusions: The current analysis suggests that a risk adapted approach may be useful when considering adjuvant pembrolizumab in RCC patients.[Table: see text]
Triplet therapy in metastatic castration-sensitive prostate cancer: A systematic review and meta-analysis.
Naqvi, Syed Arsalan Ahmed , Riaz, Zaryab Bin, Riaz, Anum, Islam, Mahnoor, Ikram, Waleed, Jafar, Muhammad Ali, Ravi, Praful , Siddiqi, Rabbia , Singh, Parminder Pal , Riaz, Irbaz Bin , Bryce, Alan H.

Journal of Clinical Oncology | February 16, 2022 | Volume: 40 | Issue: 6_suppl | Pages: 136-136

10.1200/jco.2022.40.6_suppl.136 Get It

136 Background: Intensification of initial treatment of in patients with metastatic castration-sensitive prostate cancer (mCSPC) with androgen pathway inhibition (API) in addition to docetaxel (DOC) and androgen deprivation therapy (ADT) has shown promise to improve clinical outcomes. Thus, we synthesize the data from modern clinical trials to estimate overall estimates of progression and survival outcomes. Methods: A systematic search of electronic databases (MEDLINE and EMBASE) was conducted to include phase III randomized controlled trials (RCTs) evaluating triplet therapy (API+DOC+ADT) against doublet therapy (DOC+ADT) in mCSPC. Outcomes of interest included overall survival (OS) and radiographic progression-free survival (rPFS). A DerSimonian-Laird random-effects meta-analysis was performed to pool precomputed hazard ratios (HRs) and confidence intervals (CIs) after logarithmic transformation using inverse-variance weighting approach. Cochran’s Q statistical test was used to assess statistically significant heterogeneity not explained by chance, while I2 statistical test was used to quantify the total observed variability, due to between-study heterogeneity. I2 values >50% indicated substantial heterogeneity. A summary of findings table was constructed to translate relative estimates to absolute risks. Results: A total of 1,531 patients in four RCTs with direct comparative data between triplet and doublet therapies, were included in this meta-analysis. PEACE-1 was the only RCT directly assessing this question (AAP+DOC+ADT). ENZA+DOC+ADT was evaluated as a subgroup in two RCTs (ENZAMET; ARCHES), APA+DOC+ADT was evaluated as a subgroup in one (TITAN). To be able to pool studies, the relative efficacy of control arm in ENZAMET (first generation bicalutamide + ADT) was considered equivalent to ADT based on prior literature. A total of 672 rPFS events were observed (34%; 261 events in triplet therapy, 54%; 411 events in doublet therapy). The difference was statistically significant (HR: 0.49; 95% CI: 0.42-0.58; I2: 0%). Similarly, 469 OS events were observed (28%; 217 events in triplet therapy, 33%; 252 events in doublet therapy). The difference was statistically significant (HR: 0.80; 95% CI: 0.67-0.96; I2: 0%). The summary of findings is outlined in the table. Conclusions: The results of this meta-analysis support an improvement in rPFS and OS in favor of triplet therapy over doublet therapy for mCRPC. However, comparative effectiveness of different triplet regimens may be different and needs further exploration.[Table: see text]
Differential efficacy of PARP inhibitors in metastatic castration-resistant prostate cancer with DNA repair defects: A systematic review and meta-analysis.
Naqvi, Syed Arsalan Ahmed , Zafar, Muhammad Daim Bin , Islam, Mahnoor, Ikram, Waleed, Raina, Ammad, Singh, Parminder Pal , Riaz, Irbaz Bin , Bryce, Alan H.

Journal of Clinical Oncology | February 16, 2022 | Volume: 40 | Issue: 6_suppl | Pages: 134-134

10.1200/jco.2022.40.6_suppl.134 Get It

134 Background: Recent trials have suggested poly ADP-ribose polymerase inhibitors (PARPi) sensitivity in patients with treatment-refractory metastatic castration-resistant prostate cancer (mCRPC) harboring mutations in DNA damage and response repair genes (DDR). However, the efficacy profile might differ with different genes and is still being explored in multiple studies. Methods: We systematically searched several electronic databases (MEDLINE, EMBASE), and conference proceedings to include abstracts and full-text publications of phase II/III trials evaluating PARPi in treatment-refractory mCRPC with DDR gene alterations. Outcomes of interest included objective response rate (ORR), complete response (CR), prostate specific antigen (PSA) 50% response, circulating tumor cells conversion (CTCc) from ≥ 5 to < 5 cells, composite response (CoR) and risk of progression. Data was pooled using Inverse-variance approach. A DerSimonian and Laird random-effect meta-analysis was conducted to estimate pooled proportion (PP) of events using the Freeman-Tukey transformation in each gene. Clopper-Pearson method was used to estimate the associated 95% confidence intervals (CI). Results: This systematic review and meta-analysis included five unique trials with 648 patients and four PARPi (niraparib, olaparib, rucaparib, talazoparib). Objective response to PARPi was observed in 44.7% of patients with mutations in either BRCA1 or 2 or both (95% CI: 36.0%-53.6%; I2: 0%), 23.5% with ATM (95% CI: 3.91%-51.0%; I2: 65%), 25.0% with CDK12 (95% CI: 8.66%-49.1%), and 45.3% with PALB2 alterations (95% CI: 14.8%-77.5%; I2: 0%). Consistent results were observed for CR outcome. PSA50% response to PARPi was observed in 60.3% of patients with BRCA1/2 mutations (95% CI: 50.3%-70.0%; I2: 57%), 5.54% (95% CI: 0.01-16.6; I2: 0%) with ATM, and 70.1% (95% CI: 35.6%-96.6%; I2: 0%) with PALB2 mutations while no PSA 50% response was observed in patients with CDK12 mutations (PP: 0.00%; 95% CI: 0%-16.84%). Moreover, CTCc was observed in 68.3% of patients with BRCA1/2 mutations (95% CI: 45.0%-87.8%; I2: 77), 34.2% (95% CI: 11.2-61.3%; I2: 45%) with ATM, 41.7% (95% CI: 15.2%-72.3%) with CDK12, and 48.5% (95% CI: 6.39%-92.9%; I2: 49%) with PALB2. CoR was observed in 76.5% patients with BRCA1/2 mutations (95% CI: 65.4%-86.1%; I2: 22%), 30.4% (95% CI: 16.0%-46.9%) with ATM, 25% (95% CI: 8.66%-49.1%) with CDK12, and 63.9% (95% CI: 31.0%-91.8%; I2: 0%) with PALB2 mutations. Similarly, the risk of progression was 50.9% in patients with BRCA1/2 mutations (95% CI: 37.7%-63.9%), 70.9% (95% CI: 60.0%-80.40%; I2: 0%) with ATM, and 75% (95% CI: 19.4-99.3%) with PALB2. Conclusions: Current evidence is sparse regarding efficacy by specific genes. Limited data favors the use of PARPi in mCRPC patients harboring mutations in BRCA1/2 and PALB2 genes.
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

Whole genome sequencing–based copy number variations reveal novel pathways and targets in Alzheimer's disease
Chen, Ming , Wang, Minghui , Neff, Ryan , Wang, Erming , Reddy, Joseph S. , Allen, Mariet , Ertekin‐Taner, Nilüfer , Jager, Philip L. De , Bennett, David A. , Haroutunian, Vahram , Schadt, Eric E. , Ming, Chen , Bennett, David A. , Wang, Qian , Shen, Qi , Wang, Xue, Zhang, Bin

Alzheimer's & Dementia | December 17, 2021 | Volume: 18 | Issue: 10 | Pages: 1846-1867

10.1002/alz.12507 | PMID 34918867 Get It

AbstractIntroductionA few copy number variations (CNVs) have been reported for Alzheimer's disease (AD). However, there is a lack of a systematic investigation of CNVs in AD based on whole genome sequencing (WGS) data.MethodsWe used four methods to identify consensus CNVs from the WGS data of 1,411 individuals and further investigated their functional roles in AD using the matched transcriptomic and clinicopathological data.ResultsWe identified 3,012 rare AD‐specific CNVs whose residing genes are enriched for cellular glucuronidation and neuron projection pathways. Genes whose mRNA expressions are significantly correlated with common CNVs are involved in major histocompatibility complex class II receptor activity. Integration of CNVs, gene expression, and clinical and pathological traits further pinpoints a key CNV that potentially regulates immune response in AD.DiscussionWe identify CNVs as potential genetic regulators of immune response in AD. The identified CNVs and their downstream gene networks reveal novel pathways and targets for AD.
miRNAs in the Regulation of Cancer Immune Response: Effect of miRNAs on Cancer Immunotherapy
Pottoo, Faheem Hyder , Iqubal, Ashif , Rahman, Jawad Ur , Alhajri, Noora , Shehadeh, Mustafa, Rahman, Jawad Ur , AlHajri, Noora , Iqubal, Mohammad Kashif , Salahuddin, Mohammed

Cancers | December 7, 2021 | Volume: 13 | Issue: 23 | Pages: 6145

10.3390/cancers13236145 | PMID 34885253 Get It

In the last few decades, carcinogenesis has been extensively explored and substantial research has identified immunogenic involvement in various types of cancers. As a result, immune checkpoint blockers and other immune-based therapies were developed as novel immunotherapeutic strategies. However, despite being a promising therapeutic option, immunotherapy has significant constraints such as a high cost of treatment, unpredictable toxicity, and clinical outcomes. miRNAs are non-coding, small RNAs actively involved in modulating the immune system’s multiple signalling pathways by binding to the 3′-UTR of target genes. miRNAs possess a unique advantage in modulating multiple targets of either the same or different signalling pathways. Therefore, miRNA follows a ‘one drug multiple target’ hypothesis. Attempts are made to explore the therapeutic promise of miRNAs in cancer so that it can be transported from bench to bedside for successful immunotherapeutic results. Therefore, in the current manuscript, we discussed, in detail, the mechanism and role of miRNAs in different types of cancers relating to the immune system, its diagnostic and therapeutic aspect, the effect on immune escape, immune-checkpoint molecules, and the tumour microenvironment. We have also discussed the existing limitations, clinical success and the prospective use of miRNAs in cancer.
AD-linked R47H- TREM2 mutation induces disease-enhancing microglial states via AKT hyperactivation
Sayed, Faten A. , Kodama, Lay , Fan, Li , Carling, Gillian , Udeochu, Joe C. , Le, David , Li, Qingyun , Zhou, Lu , Wong, Man Ying , Horowitz, Rose , Ye, Pearly, Mathys, Hansruedi , Wang, Minghui , Niu, Xiang , Mažutis, Linas , Jiang, Xueqiao , Gao, Fuying , Brendel, Matthew , Telpoukhovskaia, Maria A. , Tracy, Tara E. , Frost, Georgia , Zhou, Yungui, Qiu, Yue , Cheng, Zuolin , Hardy, John , Coppola, Giovanni , DeTure, Michael , Zhang, Bin , Trajnowski, John Q., Gong, Shiaoching , Luo, Wenjie , Carling, Gillian K , Wang, Xueting , Brendel, Matthew , Telpoukhovskaia, Maria , Tracy, Tara E , Frost, Georgia , Qiu, Yue , Cheng, Zuolin , Yu, Guoqiang , Hardy, John , Coppola, Giovanni , Wang, Fei , DeTure, Michael , Zhang, Bin , Xie, Lei , Trojanowski, John Q , Lee, Virginia M.‐Y. , Sinha, Subhash C , Dickson, Dennis W , Gan, Li , Mathys, Hansruedi , Li, Yaqiao , Dickson, Dennis W.

Science Translational Medicine | December 1, 2021 | Volume: 13 | Issue: 622 | Pages: No page available

10.1126/scitranslmed.abe3947 | PMID 34851693 Get It

R47H- TREM2 mutation enhances AKT signaling in human AD microglia and mediates proinflammatory and synaptic toxicity in a tauopathy mouse model.