7 results on '"Mamdooh A Gari"'
Search Results
2. Data from Methylation of the Polycomb Group Target Genes Is a Possible Biomarker for Favorable Prognosis in Colorectal Cancer
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Mohammed H. Al-Qahtani, Abdulrahman Sibiany, Mahmoud S. Al-Ahwal, Adel M. Abuzenadah, Hans-Juergen Schulten, Adeel G. Chaudhary, Mamdooh A. Gari, Abdelbaset Buhmeida, Jaudah Al-Maghrabi, and Ashraf Dallol
- Abstract
Background: Colorectal cancer (CRC) is the second most common cancer in the Kingdom of Saudi Arabia with ever increasing incidence rates. DNA methylation is a common event in CRC where it is now considered an important phenomenon in CRC carcinogenesis and useful for the classification and prognosis of CRC.Methods: To gain insight into the molecular mechanisms underpinning CRC in Saudi Arabian patients, we profiled the DNA methylation frequency of key genes (MLH1, MSH2, RASSF1A, SLIT2, HIC1, MGMT, SFRP1, MYOD1, APC, CDKN2A, as well as five CIMP markers) in 120 sporadic CRC cases. CRC tumors originating from the rectum, left, and right colons are represented in this cohort of formalin-fixed paraffin-embedded tissues.Results: The most common methylation frequency was detected in the polycomb group target genes (PCGT) including SFRP1 (70%), MYOD1 (60.8%), HIC1 (61.7%), and SLIT2 (56.7%). In addition, MGMT methylation was detected at a high frequency (68.3%). RASSF1A, APC, and CDKN2A methylation frequencies were 42.5%, 25%, and 32.8%, respectively. K-means clustering analysis of the methylation events results in the clustering of the CRC samples into three groups depending on the level of methylation detected.Conclusion: Group II (PCGT methylation and CIMP-negative) methylation signature carried a favorable prognosis for male patients, whereas older patients with group I rare methylation signature have a potentially poorer clinical outcome.Impact: Methylation of the PCGT genes along with RASSF1A, APC, and MGMT can be potentially used as a new biomarker for the classification and prognosis of CRC tumors and independently of where the tumor has originated. Cancer Epidemiol Biomarkers Prev; 21(11); 2069–75. ©2012 AACR.
- Published
- 2023
3. Supplementary Figure 1 from Methylation of the Polycomb Group Target Genes Is a Possible Biomarker for Favorable Prognosis in Colorectal Cancer
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Mohammed H. Al-Qahtani, Abdulrahman Sibiany, Mahmoud S. Al-Ahwal, Adel M. Abuzenadah, Hans-Juergen Schulten, Adeel G. Chaudhary, Mamdooh A. Gari, Abdelbaset Buhmeida, Jaudah Al-Maghrabi, and Ashraf Dallol
- Abstract
PDF file - 1106K, Methylation of the PCGT genes is enriched in the tumors. Percentage Methylated Ratio (PMR) in pairs of colon tumors (Tumor) and their matching non-malignant tissues (Normal)
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- 2023
4. Abstracts from the 3rd International Genomic Medicine Conference (3rd IGMC 2015)
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Jerry W. Shay, Noriko Homma, Ruyun Zhou, Muhammad Imran Naseer, Adeel G. Chaudhary, Mohammed Al-Qahtani, Nobutaka Hirokawa, Maryam Goudarzi, Albert J. Fornace, Saleh Baeesa, Deema Hussain, Mohammed Bangash, Fahad Alghamdi, Hans-Juergen Schulten, Angel Carracedo, Ishaq Khan, Hanadi Qashqari, Nawal Madkhali, Mohamad Saka, Kulvinder S. Saini, Awatif Jamal, Jaudah Al-Maghrabi, Adel Abuzenadah, Adeel Chaudhary, Mohammed Al Qahtani, Ghazi Damanhouri, Heba Alkhatabi, Anne Goodeve, Laura Crookes, Nikolas Niksic, Nicholas Beauchamp, Adel M. Abuzenadah, Jim Vaught, Bruce Budowle, Mourad Assidi, Abdelbaset Buhmeida, Leena Merdad, Sudhir Kumar, Sayaka Miura, Karen Gomez, Mahmood Rasool, Ahmed Rebai, Sajjad Karim, Hend F. Nour Eldin, Heba Abusamra, Elham M. Alhathli, Nada Salem, Mohammed H. Al-Qahtani, Hossam Faheem, Ashok Agarwa, Eberhard Nieschlag, Joachim Wistuba, Oliver S. Damm, Mohd A. Beg, Taha A. Abdel-Meguid, Hisham A. Mosli, Osama S. Bajouh, Serdar Coskun, Muhammad Abu-Elmagd, Ashraf Dallol, Sahar Hakamy, Wejdan Al-Qahtani, Asia Al-Harbi, Shireen Hussain, Burak Ozkosem, Rick DuBois, Safia S. Messaoudi, Maryam T. Dandana, Touhami Mahjoub, Wassim Y. Almawi, S. Abdalla, M. Nabil Al-Aama, Asmaa Elzawahry, Tsuyoshi Takahashi, Sachiyo Mimaki, Eisaku Furukawa, Rie Nakatsuka, Isao Kurosaka, Takahiko Nishigaki, Hiromi Nakamura, Satoshi Serada, Tetsuji Naka, Seiichi Hirota, Tatsuhiro Shibata, Katsuya Tsuchihara, Toshirou Nishida, Mamoru Kato, Sajid Mehmood, Naeem Mahmood Ashraf, Awais Asif, Muhammad Bilal, Malik Siddique Mehmood, Aadil Hussain, Qazi Mohammad Sajid Jamal, Mughees Uddin Siddiqui, Mohammad A. Alzohairy, Mohammad A. Al Karaawi, Taoufik Nedjadi, Heba Al-Khattabi, Adel Al-Ammari, Ahmed Al-Sayyad, Hédia Zitouni, Nozha Raguema, Marwa Ben Ali, Wided Malah, Raja Lfalah, Wassim Almawi, Mohammed Elanbari, Andrey Ptitsyn, Sana Mahjoub, Rabeb El Ghali, Bechir Achour, Nidhal Ben Amor, Brahim N’siri, Hamid Morjani, Esam Azhar, Vera Chayeb, Maryam Dendena, Hedia Zitouni, Khedija Zouari-Limayem, Bassem Refaat, Ahmed M. Ashshi, Sarah A. Batwa, Hazem Ramadan, Amal Awad, Ahmed Ateya, Adel Galal Ahmed El-Shemi, Ahmad Ashshi, Mohammed Basalamah, Youjin Na, Chae-Ok Yun, Adel Galal El-Shemi, Osama Kensara, Amr Abdelfattah, Batol Imran Dheeb, Mohammed M. F. Al-Halbosiy, Rghad Kadhim Al lihabi, Basim Mohammed Khashman, Djouhri Laiche, Chaudhary Adeel, Nedjadi Taoufik, Hani Al-Afghani, Maria Łastowska, Haya H. Al-Balool, Harsh Sheth, Emma Mercer, Jonathan M. Coxhead, Chris P. F. Redfern, Heiko Peters, Alastair D. Burt, Mauro Santibanez-Koref, Chris M. Bacon, Louis Chesler, Alistair G. Rust, David J. Adams, Daniel Williamson, Steven C. Clifford, Michael S. Jackson, Mala Singh, Mohmmad Shoab Mansuri, Shahnawaz D. Jadeja, Hima Patel, Yogesh S. Marfatia, Rasheedunnisa Begum, Amal M. Mohamed, Alaa K. Kamel, Nivin A. Helmy, Sayda A. Hammad, Hesham F. Kayed, Marwa I. Shehab, Assad El Gerzawy, Maha M. Ead, Ola M. Ead, Mona Mekkawy, Innas Mazen, Mona El-Ruby, S. M. A. Shahid, J. M. Arif, Mohtashim Lohani, Moumni Imen, Chaouch Leila, Ouragini Houyem, Douzi Kais, Chaouachi Dorra Mellouli Fethi, Bejaoui Mohamed, Abbes Salem, Areeg Faggad, Amanuel T. Gebreslasie, Hani Y. Zaki, Badreldin E. Abdalla, Maha S. AlShammari, Rhaya Al-Ali, Nader Al-Balawi, Mansour Al-Enazi, Ali Al-Muraikhi, Fadi Busaleh, Ali Al-Sahwan, Francis Borgio, Abdulazeez Sayyed, Amein Al-Ali, Sadananda Acharya, Maha S. Zaki, Hala T. El-Bassyouni, Mohammed F. Elshal, Kaleemuddin M., Alia M. Aldahlawi, Omar Saadah, J. Philip McCoy, Adel E. El-Tarras, Nabil S. Awad, Abdulla A. Alharthi, Mohamed M. M. Ibrahim, Haneen S. Alsehli, Abdullah M. Gari, Mohammed M. Abbas, Roaa A. Kadam, Mazen M. Gari, Mohmmed H. Alkaff, Mamdooh A. Gari, Hend F. Nour eldin, Fatima A. Moradi, Omran M. Rashidi, Zuhier A. Awan, Ibrahim Hamza Kaya, Olfat Al-Harazi, Dilek Colak, Nabila A. Alkousi, Takis Athanasopoulos, Afnan O. Bahmaid, Etimad A. Alhwait, Mohammed H. Alkaf, Roaa Kadam, Gauthaman Kalamegam, Elham Alhathli, Salma N. Alsayed, Fawziah H. Aljohani, Samaher M. Habeeb, Rawan A. Almashali, Sulman Basit, Samia M. Ahmed, Rakesh Sharma, Ashok Agarwal, Damayanthi Durairajanayagam, Luna Samanta, Edmund S. Sabanegh, Zhihong Cui, Alaa A. Alboogmi, Nuha A. Alansari, Maha M. Al-Quaiti, Fai T. Ashgan, Afnan Bandah, Hasan S. Jamal, Abdullraheem Rozi, Zeenat Mirza, Ahmad J. Al Sayyad, Hasan M. A. Farsi, Jaudah A. Al-Maghrabi, Reem Alotibi, Alaa Al-Ahmadi, Alaa A. Albogmi, Rasha A. Ebiya, Samia M. Darwish, Metwally M. Montaser, Vladimir B. Bajic, Wafaey Gomaa, Mehenaz Hanbazazh, Mahmoud Al-Ahwal, Saher Hakamy, Ghali Baba, Abdullah Al-Harbi, Ghalia Baba, Hend Nour Eldin, Aisha A. Alyamani, Rawan Gadi, Saadiah M. Alfakeeh, Rubi Ghazala, Shilu Mathew, M. Haroon Hamed, Ishtiaq Qadri, Lobna Mira, Manal Shaabad, Mikhlid H. Almutairi, Angie Ambers, Jennifer Churchill, Jonathan King, Monika Stoljarova, Harrell Gill-King, Muhammad Al-Qatani, Farid Ahmed, Taha Abo Almagd, Muhammad Al-Qahtani, Abdelbaset Buhmaida, Rukhsana Satar, Waseem Ahmad, Nazia Nazam, Mohamad I. Lone, Muhammad I. Naseer, Mohammad S. Jamal, Syed K. Zaidi, Peter N. Pushparaj, Mohammad A. Jafri, Shakeel A. Ansari, Mohammed H. Alqahtani, Hanan Bashier, Abrar Al Qahtani, Amal M. Nour, Adel M. Abu Zenadah, Muhammed Al Qahtani, Muhammad Faheem, Shiny Mathew, Peter Natesan Pushparaj, Mohammad H. Al-Qahtani, Hani A. Alhadrami, Ibtessam R. Hussein, Rima S. Bader, Randa Bassiouni, Maha Alquaiti, Fai Ashgan, Hans Schulten, Mohamed Nabil Alama, Mohammad H. Al Qahtani, Mohammad I. Lone, Nazia Nizam, Muhammed H. Al-Qahtani, Eradah Alshihri, Lina Alharbi, Peter Pushparaj Natesan, Fazal Khan, Khalid Hussain Wali Sait, Nisreen Anfinan, Lobna S. Mira, Mohammed H. AlQahtani, Sameera Sogaty, Randa I. Bassiouni, Abdulrahman M. S. Sibiani, Mohiuddin K. Warsi, null Rubi, Kundan Kumar, Ahmad A. T. Naqvi, Faizan Ahmad, Md I. Hassan, Ashraf Ali, Jummanah Jarullah, Abdelbasit Buhmeida, Shahida Khan, Ghufrana Abdussami, Maryam Mahfooz, Mohammad A. Kamal, Ghazi A. Damanhouri, Bushra Jarullah, Mohammad S. S. Jarullah, Osama Bajouh, Abdulah E. A. Mathkoor, Hashim M. A. Alsalmi, Anas M. M. Oun, Ghazi A. Damanhauri, Adeel G. Chudhary, Yousif A. Abutalib, Daniele Merico, Susan Walker, Christian R. Marshall, Mehdi Zarrei, Stephen W. Scherer, Fai Talal Ashgan, Syed Kashif Zaidi, Mohammed M. Jan, Maryam Al-Zahrani, Sahira Lary, Emmanuel Dermitzakis, Abeer A. Al-refai, Mona Saleh, Rehab I. Yassien, Mahmmoud Kamel, Rabab M. Habeb, Najlaa Filimban, Nadia Ghannam, Adel Mohammed Abuzenadah, Fehmida Bibi, Sana Akhtar, Esam I. Azhar, Muhammad Yasir, Muhammad I. Nasser, Asif A. Jiman-Fatani, Ali Sawan, Ruaa A. Lahzah, Asho Ali, Syed A. Hassan, Seyed E. Hasnain, Iftikhar A. Tayubi, Hamza A. Abujabal, Alaa O. Magrabi, Adel Abuzenada, Taha Abduallah Kumosani, Elie Barbour, Manal Shabaad, Adnan Merdad, Kalamegam Gauthaman, Mamdooh Gari, Hani M. A. Aljahdali, Reham Al Nono, Haneen Alsehli, Mohammed Abbas, Mohammed Sarwar Jamal, Shakeel Ansari, Mansour A. Alghamdi, Magdy Shamy, Max Costa, Mamdouh I. Khoder, Najla Kharrat, Sabrine Belmabrouk, Rania Abdelhedi, Riadh Benmarzoug, Mohammed H. Al Qahtani, Ghazi Dhamanhouri, Abdelwahab Noorwali, Mohammad Khalid Alwasiyah, Afnan Bahamaid, Saadiah Alfakeeh, Aisha Alyamani, Ali Mobasheri, Mohammad Sarwar Jamal, Raziuddin Khan, Kanchan Bhatia, Saif Ahmad, Iftikhar AslamTayubi, Manish Tripathi, Syed Asif Hassan, Rahul Shrivastava, Syed Hassan, Hamza A. S. Abujabal, Ishani Shah, Ishfaq A. Sheikh, Ejaz Ahmad, Mohd Rehan, Samera F. AlBasri, Rola F. Turki, Sahar A. F. Hammoudah, Khalid M. AlHarbi, Lama M. El-Attar, Ahmed M. Z. Darwish, Sara M. Ibrahim, Hani Choudhry, Jalaludden Awlia, Imran khan, Sameera Al-basri, Taha Kumosani, Heba M. EL Sayed, Eman A. Hafez, Aisha Hassan Elaimi, Randa Ibrahim Bassiouni, Richard F. Wintle, Vikram Gopalakrishna Pillai, Sujata Sharma, Punit Kaur, Alagiri Srinivasan, Tej P. Singh, Fatima Al-Adwani, Deema Hussein, Mona Al-Sharif, Fahad Al-Ghamdi, Saleh S. Baeesa, Taha Abdullah Kumosani, Faisal A. Al-Allaf, Zainularifeen Abduljaleel, Abdullah Alashwal, Mohiuddin M. Taher, Abdellatif Bouazzaoui, Halah Abalkhail, Faisal A. Ba-Hammam, Mohammad Athar, Khalid HussainWali Sait, Naira Ben Mami, Yosr Z. Haffani, Mouna Medhioub, Lamine Hamzaoui, Ameur Cherif, Msadok Azouz, Mohammed Imran Nasser, Shereen A. Turkistany, Lina M. Al-harbi, Jamal Sabir, Basmah Al-Madoudi, Bayan Al-Aslani, Khulud Al-Harbi, Rwan Al-Jahdali, Hanadi Qudaih, Emad Al Hamzy, Asad M. Ilyas, Youssri Ahmed, Mohammed Alqahtani, Alaa Alamandi, Ohoud Subhi, Nadia Bagatian, Adel Al-Johari, Osman Abdel Al-Hamour, Hosam Al-Aradati, Abdulmonem Al-Mutawa, Faisal Al-Mashat, Mohammad Al-Qahtani, Muhammad W. shah, Esam I Azhar, Saad Al-Masoodi, Emna Khamla, Chaima Jlassi, Ahmed S. Masmoudi, Lassaad Belbahri, Shadi Al-Khayyat, Roba Attas, Atlal Abu-Sanad, Mohammed Abuzinadah, Habib Bouazzi, Carlos Trujillo, Maha Alotaibi, Rami Nassir, Essam H. Jiffri, Ghulam M. Ashraf, Mohammad A. Aziz, Rizwan Ali, Nusaibah Samman, Sathish Periyasamy, Mohammed Aldress, Majed Al Otaibi, Zeyad Al Yousef, Mohamed Boudjelal, Ibrahim AlAbdulkarim, Mohd Suhail, Abid Qureshi, Adil Jamal, Mahmoud Z. El-Readi, Safaa Y. Eid, Michael Wink, Ahmed M. Isa, Lulu Alnuaim, Johara Almutawa, Basim Abu-Rafae, Saleh Alasiri, Saleh Binsaleh, and Mohamed H. Alqahtani
- Subjects
0301 basic medicine ,03 medical and health sciences ,030104 developmental biology ,Differentially expressed genes ,Gene expression ,Genetics ,Feature selection ,Computational biology ,Biology ,Cluster analysis ,Classifier (UML) ,Biotechnology - Published
- 2016
5. Impact of S100A8 expression on kidney cancer progression and molecular docking studies for kidney cancer therapeutics
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Zeenat, Mirza, Hans-Juergen, Schulten, Hasan Ma, Farsi, Jaudah A, Al-Maghrabi, Mamdooh A, Gari, Adeel Ga, Chaudhary, Adel M, Abuzenadah, Mohammed H, Al-Qahtani, and Sajjad, Karim
- Subjects
Male ,Models, Molecular ,Molecular Structure ,Gene Expression Profiling ,Molecular Conformation ,Gene Expression ,Antineoplastic Agents ,Middle Aged ,Kidney Neoplasms ,Tumor Burden ,Gene Expression Regulation, Neoplastic ,Molecular Docking Simulation ,Disease Progression ,Cluster Analysis ,Humans ,Calgranulin A ,Female ,Gene Regulatory Networks ,Neoplasm Staging ,Protein Binding ,Signal Transduction - Abstract
The proinflammatory protein S100A8, which is expressed in myeloid cells under physiological conditions, is strongly expressed in human cancer tissues. Its role in tumor cell differentiation and tumor progression is largely unclear and virtually unstudied in kidney cancer. In the present study, we investigated whether S100A8 could be a potential anticancer drug target and therapeutic biomarker for kidney cancer, and the underlying molecular mechanisms by exploiting its interaction profile with drugs.Microarray-based transcriptomics experiments using Affymetrix HuGene 1.0 ST arrays were applied to renal cell carcinoma specimens from Saudi patients for identification of significant genes associated with kidney cancer. In addition, we retrieved selected expression data from the National Center for Biotechnology Information Gene Expression Omnibus database for comparative analysis and confirmation of S100A8 expression. Ingenuity Pathway Analysis (IPA) was used to elucidate significant molecular networks and pathways associated with kidney cancer. The probable polar and non-polar interactions of possible S100A8 inhibitors (aspirin, celecoxib, dexamethasone and diclofenac) were examined by performing molecular docking and binding free energy calculations. Detailed analysis of bound structures and their binding free energies was carried out for S100A8, its known partner (S100A9), and S100A8-S100A9 complex (calprotectin).In our microarray experiments, we identified 1,335 significantly differentially expressed genes, including S100A8, in kidney cancer using a cut-off of p0.05 and fold-change of 2. Functional analysis of kidney cancer-associated genes showed overexpression of genes involved in cell-cycle progression, DNA repair, cell death, tumor morphology and tissue development. Pathway analysis showed significant disruption of pathways of atherosclerosis signaling, liver X receptor/retinoid X receptor (LXR/RXR) activation, notch signaling, and interleukin-12 (IL-12) signaling. We identified S100A8 as a prospective biomarker for kidney cancer and in silico analysis showed that aspirin, celecoxib, dexamethasone and diclofenac binds to S100A8 and may inhibit downstream signaling in kidney cancer.The present study provides an initial overview of differentially expressed genes in kidney cancer of Saudi Arabian patients using whole-transcript, high-density expression arrays. Our analysis suggests distinct transcriptomic signatures, with significantly high levels of S100A8, and underlying molecular mechanisms contributing to kidney cancer progression. Our docking-based findings shed insight into S100A8 protein as an attractive anticancer target for therapeutic intervention in kidney cancer. To our knowledge, this is the first structure-based docking study for the selected protein targets using the chosen ligands.
- Published
- 2014
6. Incidence and prognosis of c-KIT and FLT3 mutations in core binding factor (CBF) acute myeloid leukaemias
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Rory S, Care, Peter J M, Valk, Anne C, Goodeve, Faisel M, Abu-Duhier, Wendy M C, Geertsma-Kleinekoort, Giu A, Wilson, Mamdooh A, Gari, Ian R, Peake, Bob, Löwenberg, and John T, Reilly
- Subjects
Adult ,Aged, 80 and over ,Male ,Adolescent ,Membrane Proteins ,Middle Aged ,Prognosis ,Survival Analysis ,Proto-Oncogene Proteins c-kit ,Leukemia, Myeloid ,Recurrence ,Acute Disease ,Mutation ,Humans ,Female ,Aged - Abstract
DNA from 110 adult de novo acute myeloid leukaemia (AML) patients exhibiting either inv(16) (n = 63) or t(8;21) (n = 47) was screened for mutations in the c-KIT (exon 8 and Asp816) and FLT3 (ITD and Asp835) genes. c-KIT exon 8 mutations were found in 15/63 (23.8%) inv(16) patients and 1/47 (2.1%) t(8;21) patients. c-KIT Asp816 mutations were present in 5/63 (7.9%) inv(16) AML and 5/47 (10.6%) t(8;21) AML. FLT3 mutations were identified in five patients (7.9%) with inv(16) and three patients (5.6%) with t(8;21) AML. All mutations were mutually exclusive; 40% of inv(16) AML patients possessed either a c-KIT or FLT3 mutation. c-KIT exon 8 mutations were shown to be a significant factor adversely affecting relapse rate.
- Published
- 2003
7. Prevalence of obesity and hypertension among University students' and their knowledge and attitude towards risk factors of Cardiovascular Disease (CVD) in Jeddah, Saudi Arabia.
- Author
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Baig M, Gazzaz ZJ, Gari MA, Al-Attallah HG, Al-Jedaani KS, Mesawa AT, and Al-Hazmi AA
- Abstract
Objectives: To investigate the prevalence of obesity and hypertension among University students' and their knowledge and attitude towards risk factors of cardiovascular disease (CVD) in Jeddah,: Saudi Arabia., Methods: A total of 610 male students were selected for present cross sectional study and their blood pressure (BP) and body mass index (BMI) was determined, other data was gathered through a questionnaire, and SPSS-16 was used for analyzing data., Results: Out of 610 students, 7.5% were hypertensive (systolic 2.6% and diastolic 6.3%) while the BMI of 51.6% was in the normal range, 29.8% were overweight and 10.7% were moderately obese and 7.9% were severely obese. Majority of the participants considered that smoking, increased fatty food intake, obesity, high BP, and increased LDL-cholesterol level, are the main causes of the CVD. Most of the participants agreed that one should know his BP, blood sugar, serum cholesterol and one should maintain normal body weight and should do regular exercise. They were also aware that healthy lifestyle could prevent CVD. However, majority of the participants were not practicing healthy lifestyle., Conclusion: A huge gap exists in the knowledge, attitude and practice regarding risk factors of CVD among the university students.
- Published
- 2015
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