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3. International Study of SS Shows Superiority of Combination Therapy & Heterogeneity of Treatment Strategies

Author

Campbell, Belinda A, primary, Dobos, Gabor, additional, Haider, Zahra, additional, Prince, H. Miles, additional, Bagot, Martine, additional, Evison, Felicity, additional, Van Der Weyden, Carrie, additional, McCormack, Christopher John, additional, Ram-Wolff, Caroline, additional, Miladi, Maryam, additional, and Scarisbrick, Julia J, additional

Published
2023
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4. Lung cancer risk discrimination of prediagnostic proteomics measurements compared with existing prediction tools

Author

Feng, Xiaoshuang, primary, Wu, Wendy Yi-Ying, additional, Onwuka, Justina Ucheojor, additional, Haider, Zahra, additional, Alcala, Karine, additional, Smith-Byrne, Karl, additional, Zahed, Hana, additional, Guida, Florence, additional, Wang, Renwei, additional, Bassett, Julie K, additional, Stevens, Victoria, additional, Wang, Ying, additional, Weinstein, Stephanie, additional, Freedman, Neal D, additional, Chen, Chu, additional, Tinker, Lesley, additional, Nøst, Therese Haugdahl, additional, Koh, Woon-Puay, additional, Muller, David, additional, Colorado-Yohar, Sandra M, additional, Tumino, Rosario, additional, Hung, Rayjean J, additional, Amos, Christopher I, additional, Lin, Xihong, additional, Zhang, Xuehong, additional, Arslan, Alan A, additional, Sánchez, Maria-Jose, additional, Sørgjerd, Elin Pettersen, additional, Severi, Gianluca, additional, Hveem, Kristian, additional, Brennan, Paul, additional, Langhammer, Arnulf, additional, Milne, Roger L, additional, Yuan, Jian-Min, additional, Melin, Beatrice, additional, Johansson, Mikael, additional, Robbins, Hilary A, additional, and Johansson, Mattias, additional

Published
2023
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5. Clinical, genetic, epidemiologic, evolutionary, and functional delineation of TSPEAR-related autosomal recessive ectodermal dysplasia 14

Author

Jackson, Adam, primary, Lin, Sheng-Jia, additional, Jones, Elizabeth A., additional, Chandler, Kate E., additional, Orr, David, additional, Moss, Celia, additional, Haider, Zahra, additional, Ryan, Gavin, additional, Holden, Simon, additional, Harrison, Mike, additional, Burrows, Nigel, additional, Jones, Wendy D., additional, Loveless, Mary, additional, Petree, Cassidy, additional, Stewart, Helen, additional, Low, Karen, additional, Donnelly, Deirdre, additional, Lovell, Simon, additional, Drosou, Konstantina, additional, Varshney, Gaurav K., additional, Banka, Siddharth, additional, Ambrose, J.C., additional, Arumugam, P., additional, Bevers, R., additional, Bleda, M., additional, Boardman-Pretty, F., additional, Boustred, C.R., additional, Brittain, H., additional, Brown, M.A., additional, Caulfield, M.J., additional, Chan, G.C., additional, Giess, A., additional, Griffin, J.N., additional, Hamblin, A., additional, Henderson, S., additional, Hubbard, T.J.P., additional, Jackson, R., additional, Jones, L.J., additional, Kasperaviciute, D., additional, Kayikci, M., additional, Kousathanas, A., additional, Lahnstein, L., additional, Lakey, A., additional, Leigh, S.E.A., additional, Leong, I.U.S., additional, Lopez, F.J., additional, Maleady-Crowe, F., additional, McEntagart, M., additional, Minneci, F., additional, Mitchell, J., additional, Moutsianas, L., additional, Mueller, M., additional, Murugaesu, N., additional, Need, A.C., additional, O‘Donovan, P., additional, Odhams, C.A., additional, Patch, C., additional, Perez-Gil, D., additional, Pereira, M.B., additional, Pullinger, J., additional, Rahim, T., additional, Rendon, A., additional, Rogers, T., additional, Savage, K., additional, Sawant, K., additional, Scott, R.H., additional, Siddiq, A., additional, Sieghart, A., additional, Smith, S.C., additional, Sosinsky, A., additional, Stuckey, A., additional, Tanguy, M., additional, Taylor Tavares, A.L., additional, Thomas, E.R.A., additional, Thompson, S.R., additional, Tucci, A., additional, Welland, M.J., additional, Williams, E., additional, Witkowska, K., additional, Wood, S.M., additional, Zarowiecki, M., additional, Riess, Olaf, additional, Haack, Tobias B., additional, Graessner, Holm, additional, Zurek, Birte, additional, Ellwanger, Kornelia, additional, Ossowski, Stephan, additional, Demidov, German, additional, Sturm, Marc, additional, Schulze-Hentrich, Julia M., additional, Schüle, Rebecca, additional, Kessler, Christoph, additional, Wayand, Melanie, additional, Synofzik, Matthis, additional, Wilke, Carlo, additional, Traschütz, Andreas, additional, Schöls, Ludger, additional, Hengel, Holger, additional, Heutink, Peter, additional, Brunner, Han, additional, Scheffer, Hans, additional, Hoogerbrugge, Nicoline, additional, Hoischen, Alexander, additional, ’t Hoen, Peter A.C., additional, Vissers, Lisenka E.L.M., additional, Gilissen, Christian, additional, Steyaert, Wouter, additional, Sablauskas, Karolis, additional, de Voer, Richarda M., additional, Kamsteeg, Erik-Jan, additional, van de Warrenburg, Bart, additional, van Os, Nienke, additional, Paske, Iris te, additional, Janssen, Erik, additional, de Boer, Elke, additional, Steehouwer, Marloes, additional, Yaldiz, Burcu, additional, Kleefstra, Tjitske, additional, Brookes, Anthony J., additional, Veal, Colin, additional, Gibson, Spencer, additional, Wadsley, Marc, additional, Mehtarizadeh, Mehdi, additional, Riaz, Umar, additional, Warren, Greg, additional, Dizjikan, Farid Yavari, additional, Shorter, Thomas, additional, Töpf, Ana, additional, Straub, Volker, additional, Bettolo, Chiara Marini, additional, Specht, Sabine, additional, Clayton-Smith, Jill, additional, Alexander, Elizabeth, additional, Jackson, Adam, additional, Faivre, Laurence, additional, Thauvin, Christel, additional, Vitobello, Antonio, additional, Denommé-Pichon, Anne-Sophie, additional, Duffourd, Yannis, additional, Tisserant, Emilie, additional, Bruel, Ange-Line, additional, Peyron, Christine, additional, Pélissier, Aurore, additional, Beltran, Sergi, additional, Gut, Ivo Glynne, additional, Laurie, Steven, additional, Piscia, Davide, additional, Matalonga, Leslie, additional, Papakonstantinou, Anastasios, additional, Bullich, Gemma, additional, Corvo, Alberto, additional, Garcia, Carles, additional, Fernandez-Callejo, Marcos, additional, Hernández, Carles, additional, Picó, Daniel, additional, Paramonov, Ida, additional, Lochmüller, Hanns, additional, Gumus, Gulcin, additional, Bros-Facer, Virginie, additional, Rath, Ana, additional, Hanauer, Marc, additional, Olry, Annie, additional, Lagorce, David, additional, Havrylenko, Svitlana, additional, Izem, Katia, additional, Rigour, Fanny, additional, Stevanin, Giovanni, additional, Durr, Alexandra, additional, Davoine, Claire-Sophie, additional, Guillot-Noel, Léna, additional, Heinzmann, Anna, additional, Coarelli, Giulia, additional, Bonne, Gisèle, additional, Evangelista, Teresinha, additional, Allamand, Valérie, additional, Nelson, Isabelle, additional, Ben Yaou, Rabah, additional, Metay, Corinne, additional, Eymard, Bruno, additional, Cohen, Enzo, additional, Atalaia, Antonio, additional, Stojkovic, Tanya, additional, Macek, Milan, additional, Turnovec, Marek, additional, Thomasová, Dana, additional, Kremliková, Radka Pourová, additional, Franková, Vera, additional, Havlovicová, Markéta, additional, Kremlik, Vlastimil, additional, Parkinson, Helen, additional, Keane, Thomas, additional, Spalding, Dylan, additional, Senf, Alexander, additional, Robinson, Peter, additional, Danis, Daniel, additional, Robert, Glenn, additional, Costa, Alessia, additional, Patch, Christine, additional, Hanna, Mike, additional, Houlden, Henry, additional, Reilly, Mary, additional, Vandrovcova, Jana, additional, Muntoni, Francesco, additional, Zaharieva, Irina, additional, Sarkozy, Anna, additional, Timmerman, Vincent, additional, Baets, Jonathan, additional, Van de Vondel, Liedewei, additional, Beijer, Danique, additional, de Jonghe, Peter, additional, Nigro, Vincenzo, additional, Banfi, Sandro, additional, Torella, Annalaura, additional, Musacchia, Francesco, additional, Piluso, Giulio, additional, Ferlini, Alessandra, additional, Selvatici, Rita, additional, Rossi, Rachele, additional, Neri, Marcella, additional, Aretz, Stefan, additional, Spier, Isabel, additional, Sommer, Anna Katharina, additional, Peters, Sophia, additional, Oliveira, Carla, additional, Pelaez, Jose Garcia, additional, Matos, Ana Rita, additional, José, Celina São, additional, Ferreira, Marta, additional, Gullo, Irene, additional, Fernandes, Susana, additional, Garrido, Luzia, additional, Ferreira, Pedro, additional, Carneiro, Fátima, additional, Swertz, Morris A., additional, Johansson, Lennart, additional, van der Velde, Joeri K., additional, van der Vries, Gerben, additional, Neerincx, Pieter B., additional, Roelofs-Prins, Dieuwke, additional, Köhler, Sebastian, additional, Metcalfe, Alison, additional, Verloes, Alain, additional, Drunat, Séverine, additional, Rooryck, Caroline, additional, Trimouille, Aurelien, additional, Castello, Raffaele, additional, Morleo, Manuela, additional, Pinelli, Michele, additional, Varavallo, Alessandra, additional, De la Paz, Manuel Posada, additional, Sánchez, Eva Bermejo, additional, Martín, Estrella López, additional, Delgado, Beatriz Martínez, additional, Alonso García de la Rosa, F. Javier, additional, Ciolfi, Andrea, additional, Dallapiccola, Bruno, additional, Pizzi, Simone, additional, Radio, Francesca Clementina, additional, Tartaglia, Marco, additional, Renieri, Alessandra, additional, Benetti, Elisa, additional, Balicza, Peter, additional, Molnar, Maria Judit, additional, Maver, Ales, additional, Peterlin, Borut, additional, Münchau, Alexander, additional, Lohmann, Katja, additional, Herzog, Rebecca, additional, Pauly, Martje, additional, Macaya, Alfons, additional, Marcé-Grau, Anna, additional, Osorio, Andres Nascimiento, additional, Natera de Benito, Daniel, additional, Thompson, Rachel, additional, Polavarapu, Kiran, additional, Beeson, David, additional, Cossins, Judith, additional, Rodriguez Cruz, Pedro M., additional, Hackman, Peter, additional, Johari, Mridul, additional, Savarese, Marco, additional, Udd, Bjarne, additional, Horvath, Rita, additional, Capella, Gabriel, additional, Valle, Laura, additional, Holinski-Feder, Elke, additional, Laner, Andreas, additional, Steinke-Lange, Verena, additional, Schröck, Evelin, additional, and Rump, Andreas, additional

Published
2023
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8. Sensitive Detection of Cell-Free Tumour DNA Using Optimised Targeted Sequencing Can Predict Prognosis in Gastro-Oesophageal Cancer

Author

Wallander, Karin, primary, Haider, Zahra, additional, Jeggari, Ashwini, additional, Foroughi-Asl, Hassan, additional, Gellerbring, Anna, additional, Lyander, Anna, additional, Chozhan, Athithyan, additional, Cuba Gyllensten, Ollanta, additional, Hägglund, Moa, additional, Wirta, Valtteri, additional, Nordenskjöld, Magnus, additional, Lindblad, Mats, additional, and Tham, Emma, additional

Published
2023
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9. Whole-genome informed circulating tumor DNA analysis by multiplex digital PCR for disease monitoring in B-cell lymphomas: a proof-of-concept study.

Author

Haider, Zahra, Wästerlid, Tove, Deleskog Spångberg, Linn, Rabbani, Leily, Jylhä, Cecilia, Thorvaldsdottir, Birna, Skaftason, Aron, Awier, Hero Nikdin, Krstic, Aleksandra, Gellerbring, Anna, Lyander, Anna, Hägglund, Moa, Jeggari, Ashwini, Rassidakis, Georgios, Sonnevi, Kristina, Sander, Birgitta, Rosenquist, Richard, Tham, Emma, and Smedby, Karin E.

Subjects
CIRCULATING tumor DNA, DNA analysis, DIFFUSE large B-cell lymphomas, CELL-free DNA, SINGLE nucleotide polymorphisms, LYMPHOMAS
Abstract

Introduction: Analyzing liquid biopsies for tumor-specific aberrations can facilitate detection of measurable residual disease (MRD) during treatment and at follow-up. In this study, we assessed the clinical potential of using whole-genome sequencing (WGS) of lymphomas at diagnosis to identify patient-specific structural (SVs) and single nucleotide variants (SNVs) to enable longitudinal, multi-targeted droplet digital PCR analysis (ddPCR) of cell-free DNA (cfDNA). Methods: In 9 patients with B-cell lymphoma (diffuse large B-cell lymphoma and follicular lymphoma), comprehensive genomic profiling at diagnosis was performed by 30X WGS of paired tumor and normal specimens. Patient-specific multiplex ddPCR (m-ddPCR) assays were designed for simultaneous detection of multiple SNVs, indels and/or SVs, with a detection sensitivity of 0.0025% for SV assays and 0.02% for SNVs/indel assays. M-ddPCR was applied to analyze cfDNA isolated from serially collected plasma at clinically critical timepoints during primary and/or relapse treatment and at follow-up. Results: A total of 164 SNVs/indels were identified by WGS including 30 variants known to be functionally relevant in lymphoma pathogenesis. The most frequently mutated genes included KMT2D, PIM1, SOCS1 and BCL2. WGS analysis further identified recurrent SVs including t(14;18)(q32;q21) (IGH::BCL2), and t(6;14)(p25;q32) (IGH::IRF4). Plasma analysis at diagnosis showed positive circulating tumor DNA (ctDNA) levels in 88% of patients and the ctDNA burden correlated with baseline clinical parameters (LDH and sedimentation rate, p-value <0.01). While clearance of ctDNA levels after primary treatment cycle 1 was observed in 3/6 patients, all patients analyzed at final evaluation of primary treatment showed negative ctDNA, hence correlating with PET-CT imaging. One patient with positive ctDNA at interim also displayed detectable ctDNA (average variant allele frequency (VAF) 6.9%) in the follow-up plasma sample collected 2 years after final evaluation of primary treatment and 25 weeks before clinical manifestation of relapse. Conclusion: In summary, we demonstrate that multi-targeted cfDNA analysis, using a combination of SNVs/indels and SVs candidates identified by WGS analysis, provides a sensitive tool for MRD monitoring and can detect lymphoma relapse earlier than clinical manifestation. [ABSTRACT FROM AUTHOR]

Published
2023
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13. Evolution of the Behavior Management Techniques for the Dental Pediatric Patient

Author

Haider, Zahra and Pérez Alfayate, Ruth

Subjects
Odontología, Odontología pediátrica
Abstract

Dental fear and anxiety are common occurrences among patients in paediatric dentistry. To combat this, behaviour management techniques (BMTs) are utilised for a successful treatment outcome. Society and attitudes towards children are changing. Parents are taking more interest in their child’s treatment. The use of certain BMTs have been revaluated. Objectives: • Describing the ways in which different behaviour management techniques in paediatric dentistry have changed throughout the years. • Describing how parents and changes in attitudes towards children in society have had an impact on how they are treated by dental professionals in the clinic. Methodology: Electronic databases were conducted (UEM Biblioteca CRAI Dulce Chacón online, PubMed, ResearchGate). Keywords: evolution behaviour management techniques, paediatric, dental, parental, attitudes, history. 29 papers found. Languages considered were English and Spanish. Discussion: Many BMTs have their basis in cognitive psychological theories from the early 20th century. Children’s rights laws also began adoption around this period. As more rights were adopted and society changed, the more BMTs evolved. Parents are also becoming more involved in the treatment than before, also influencing which techniques are utilised. Conclusion: Shifts in society and the adoption of children’s rights have had an impact on which BMTs are preferred in the dental clinic. Parents are becoming more involved in treatments and have also influenced which techniques are utilised. Throughout the decades, there has been more focus on communicative techniques, replacing controversial physical techniques. More studies are needed as it is an area in paediatric dentistry which updates itself along with the changes in society., Universidad Europea de Madrid, Grado en Odontología, Presencial

Published
2021

15. Additional file 3: of DNA methylation associates with survival in non-metastatic clear cell renal cell carcinoma

Author

Evelรถnn, Emma, Landfors, Mattias, Haider, Zahra, Kรถhn, Linda, Bรถrje Ljungberg, Gรถran Roos, and Degerman, Sofie

Abstract

Figure S1. Single nucleotide polymorphism (SNP) analysis. SNP analysis of 65 genotyping probes on the HumanMethylation450K array to confirm patient identity of multiple samples taken from the same tumor. (PDF 256 kb)

Published
2019
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16. Additional file 10: of DNA methylation associates with survival in non-metastatic clear cell renal cell carcinoma

Author

Evelรถnn, Emma, Landfors, Mattias, Haider, Zahra, Kรถhn, Linda, Bรถrje Ljungberg, Gรถran Roos, and Degerman, Sofie

Abstract

Figure S3. Survival analysis based on Risk Score at diagnosis. Kaplan-Meier cancer specific survival analysis (pCSS) in 114 ccRCC patients in relation to (A) Wei Risk Score at diagnosis (B) a combination of Wei Risk Score and presence of distant metastasis at diagnosis. (C) Cumulative incidence of progress (CIP) analysis in 86 non-metastatic (M0) ccRCC patients in relation to Wei Risk Score at diagnosis. Log-rank p-values are presented. (PDF 79 kb)

Published
2019
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19. Additional file 5: of DNA methylation associates with survival in non-metastatic clear cell renal cell carcinoma

Author

Evelรถnn, Emma, Landfors, Mattias, Haider, Zahra, Kรถhn, Linda, Bรถrje Ljungberg, Gรถran Roos, and Degerman, Sofie

Subjects
genetic structures, sense organs, eye diseases
Abstract

Figure S2. Copy number variation (CNV) analysis. CNV analysis of twelve chromosome regions previously identified to be altered in ccRCC. The analyzed region is marked in grey. (PDF 205 kb)

Published
2019
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21. Additional file 6: of DNA methylation associates with survival in non-metastatic clear cell renal cell carcinoma

Author

Evelönn, Emma, Landfors, Mattias, Haider, Zahra, Köhn, Linda, Ljungberg, Börje, Roos, Göran, and Degerman, Sofie

Subjects
animal structures, embryonic structures, human activities
Abstract

Figure S4. Distribution of hyper- and hypomethylated CpGs in patients with or without specific genomic aberrations. Percentage of (A) hypermethylated and (B) hypomethylated CpGs in the genomic aberration regions associated with ccRCC defined in Additional file 2: Table S3. * = Bonferroni adjusted p-value

Published
2019
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23. DNA methylation signatures in precursor lymphoid neoplasms : with focus on clinical implications & the biology behind

Author

Haider, Zahra

Subjects
Cancer och onkologi, DNA methylation, TAL1, Lymphoma, CIMP, BCP-ALL, Biochemistry and Molecular Biology, Pediatrik, Hematology, Acute Lymphoblastic Leukemia, Prognosis, Pediatrics, digestive system diseases, HOX, Cancer and Oncology, T-LBL, Genetics, Hematologi, Genetik, T-ALL, neoplasms, Biokemi och molekylärbiologi
Abstract

Precursor lymphoid neoplasms, namely acute lymphoblastic leukemias (ALL) and lymphoblastic lymphomas (LBL), are characterized by an aggressive proliferation of malignant progenitor B- or T-cells. To improve risk classification at diagnosis, better prognostic and treatment stratifying biomarkers are needed. Altered DNA methylation pattern is a hallmark of neoplastic transformation, and has been employed as a molecular prognostic and predictive marker in various cancers, including hematological malignancies. Our research group previously identified a CpG island methylator phenotype (CIMP) panel that classified pediatric T-ALL patients into prognostic subgroups. The aim of this thesis was to evaluate distinct DNA methylation signatures in precursor lymphoid neoplasms, and to validate the prognostic value of CIMP classification in separate patient cohorts. Additionally, the biological mechanisms underlying the distinct CIMP methylation signatures in these malignancies were investigated. The prognostic relevance of CIMP classification was validated in an independent Nordic cohort of pediatric T-ALL patients. Combination of CIMP status with minimal residual disease (MRD) status, could further dissect the high-risk MRD positive T-ALL patients into two CIMP subgroups with significantly distinct outcomes. Furthermore, CIMP classification at diagnosis was shown to predict overall survival in relapsed BCP-ALL patients. CIMP methylation signatures were also identified in T-LBL patients, indicating a broader relevance of CIMP based classification in lymphoid malignancies. Investigating the biology behind CIMP methylation signatures showed the association of CIMP status with the proliferative history of the leukemic cells. A differential transcriptomic analysis revealed a correlation of CIMP subgroups with known T-ALL drivers, as well as with novel genes in T-ALL biology. Finally, we identified distinct DNA methylation patterns and genetic aberrations in T-ALL and T-LBL that might contribute to the different clinical presentation of these two diseases. In conclusion, we validated the prognostic significance of CIMP methylation signature in precursor lymphoid malignancies and identified transcriptomic profiles that associated with the subgroups. DNA methylation is a strong candidate for further risk classification in lymphoid neoplasms and our findings can contribute to the identification of new potential targets for treatment.

Published
2019

26. Additional file 1: of DNA methylation holds prognostic information in relapsed precursor B-cell acute lymphoblastic leukemia

Author

Borssén, Magnus, Nordlund, Jessica, Haider, Zahra, Landfors, Mattias, Larsson, Pär, Kanerva, Jukka, Schmiegelow, Kjeld, Flaegstad, Trond, Jónsson, Ólafur, Britt-Marie Frost, Palle, Josefine, Forestier, Erik, Heyman, Mats, Hultdin, Magnus, Gudmar Lönnerholm, and Degerman, Sofie

Abstract

Methods description, figures, and tables can be found at the Clinical Epigenetics webpage. (DOCX 282 kb)

Published
2018
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27. An integrated transcriptome analysis in T-cell acute lymphoblastic leukemia links DNA methylation subgroups to dysregulated TAL1 and ANTP homeobox gene expression

Author

Haider, Zahra, primary, Larsson, Pär, additional, Landfors, Mattias, additional, Köhn, Linda, additional, Schmiegelow, Kjeld, additional, Flaegstad, Trond, additional, Kanerva, Jukka, additional, Heyman, Mats, additional, Hultdin, Magnus, additional, and Degerman, Sofie, additional

Published
2018
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28. An integrated transcriptome analysis in T‐cell acute lymphoblastic leukemia links DNA methylation subgroups to dysregulated TAL1 and ANTP homeobox gene expression.

Author

Haider, Zahra, Larsson, Pär, Landfors, Mattias, Köhn, Linda, Schmiegelow, Kjeld, Flægstad, Trond, Kanerva, Jukka, Heyman, Mats, Hultdin, Magnus, and Degerman, Sofie

Subjects
*LYMPHOBLASTIC leukemia, *METHYLATION, *HOMEOBOX genes, *ACUTE leukemia, *EPIGENOMICS
Abstract

Classification of pediatric T‐cell acute lymphoblastic leukemia (T‐ALL) patients into CIMP (CpG Island Methylator Phenotype) subgroups has the potential to improve current risk stratification. To investigate the biology behind these CIMP subgroups, diagnostic samples from Nordic pediatric T‐ALL patients were characterized by genome‐wide methylation arrays, followed by targeted exome sequencing, telomere length measurement, and RNA sequencing. The CIMP subgroups did not correlate significantly with variations in epigenetic regulators. However, the CIMP+ subgroup, associated with better prognosis, showed indicators of longer replicative history, including shorter telomere length (P = 0.015) and older epigenetic (P < 0.001) and mitotic age (P < 0.001). Moreover, the CIMP+ subgroup had significantly higher expression of ANTP homeobox oncogenes, namely TLX3, HOXA9, HOXA10, and NKX2‐1, and novel genes in T‐ALL biology including PLCB4, PLXND1, and MYO18B. The CIMP− subgroup, with worse prognosis, was associated with higher expression of TAL1 along with frequent STIL‐TAL1 fusions (2/40 in CIMP+ vs 11/24 in CIMP−), as well as stronger expression of BEX1. Altogether, our findings suggest different routes for leukemogenic transformation in the T‐ALL CIMP subgroups, indicated by different replicative histories and distinct methylomic and transcriptomic profiles. These novel findings can lead to new therapeutic strategies. In this study, an integrated methylomic, transcriptomic, and genomic analysis was performed to investigate the biology behind prognostically relevant DNA methylation (CIMP) subgroups in pediatric T‐cell acute lymphoblastic leukemia. We identified differentially expressed genes in the CIMP subgroups including known oncogenic drivers as well as novel genes in T‐ALL biology. Altogether, our findings suggest different routes for leukemogenic transformation in the T‐ALL CIMP subgroups, indicated by different replicative histories and distinct methylomic and transcriptomic profiles. [ABSTRACT FROM AUTHOR]

Published
2019
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