Swerdlow SH, Campo E, Pileri SA, Harris NL, Stein H, Siebert R, et al. The 2016 revision of the World Health Organization classification of lymphoid neoplasms. Blood. 2016;127:2375–90.
Article CAS PubMed PubMed Central Google Scholar
Tang YT, Wang D, Luo H, Xiao M, Zhou HS, Liu D, et al. Aggressive NK-cell leukemia: clinical subtypes, molecular features, and treatment outcomes. Blood Cancer J. 2017;7:660.
Article PubMed PubMed Central Google Scholar
Fujimoto A, Ishida F, Izutsu K, Yamasaki S, Chihara D, Suzumiya J, et al. Allogeneic stem cell transplantation for patients with aggressive NK-cell leukemia. Bone Marrow Transpl. 2021;56:347–56.
Suzuki R, Suzumiya J, Nakamura S, Aoki S, Notoya A, Ozaki S, et al. Aggressive natural killer-cell leukemia revisited: large granular lymphocyte leukemia of cytotoxic NK cells. Leukemia. 2004;18:763–70.
Article CAS PubMed Google Scholar
Huang L, Liu D, Wang N, Ling S, Tang Y, Wu J, et al. Integrated genomic analysis identifies deregulated JAK/STAT-MYC-biosynthesis axis in aggressive NK-cell leukemia. Cell Res. 2018;28:172–86.
Dufva O, Kankainen M, Kelkka T, Sekiguchi N, Awad SA, Eldfors S, et al. Aggressive natural killer-cell leukemia mutational landscape and drug profiling highlight JAK-STAT signaling as therapeutic target. Nat Commun. 2018;9:1567.
Article PubMed PubMed Central Google Scholar
de Mel S, Hue SSS, Jeyasekharan AD, Chng WJ, Ng SB. Molecular pathogenic pathways in extranodal NK/T cell lymphoma. J Hematol Oncol. 2019;12:33.
Article PubMed PubMed Central Google Scholar
Kameda K, Yanagiya R, Miyatake Y, Carreras J, Higuchi H, Murayama H, et al. The hepatic niche leads to aggressive natural killer cell leukemia proliferation through the transferrin-transferrin receptor 1 axis. Blood. 2023;142:352–64.
Ogama Y, Kumagai Y, Komatsu N, Araki M, Masubuchi N, Akiyoshi H, et al. Phase 1 clinical trial of PPMX-T003, a novel human monoclonal antibody specific for transferrin receptor 1, to evaluate its safety, pharmacokinetics, and pharmacodynamics. Clin Pharm Drug Dev. 2023;12:579–87.
Andreini C, Putignano V, Rosato A, Banci L. The human iron-proteome. Metallomics. 2018;10:1223–31.
Article CAS PubMed Google Scholar
Pham LT, Peng H, Ueno M, Kohno S, Kasada A, Hosomichi K, et al. RHEB is a potential therapeutic target in T cell acute lymphoblastic leukemia. Biochem Biophys Res Commun. 2022;621:74–9.
Article CAS PubMed Google Scholar
Lifschitz S, Haeusler EH, Catanho M, Miranda AB, de Armas EM, de Heine A, et al. Bio-strings: a relational database data-type for dealing with large biosequences. BioTech (Basel). 2022;11:31.
Article CAS PubMed Google Scholar
Liao Y, Smyth GK, Shi W. The R package Rsubread is easier, faster, cheaper and better for alignment and quantification of RNA sequencing reads. Nucleic Acids Res. 2019;47:e47.
Article CAS PubMed PubMed Central Google Scholar
Lawrence M, Huber W, Pagès H, Aboyoun P, Carlson M, Gentleman R, et al. Software for computing and annotating genomic ranges. PLoS Comput Biol. 2013;9:e1003118.
Article CAS PubMed PubMed Central Google Scholar
Li W, Xu H, Xiao T, Cong L, Love MI, Zhang F, et al. MAGeCK enables robust identification of essential genes from genome-scale CRISPR/Cas9 knockout screens. Genome Biol. 2014;15:554.
Article PubMed PubMed Central Google Scholar
Bolger AM, Lohse M, Usadel B. Trimmomatic: a flexible trimmer for Illumina sequence data. Bioinformatics. 2014;30:2114–20.
Article CAS PubMed PubMed Central Google Scholar
Kovaka S, Zimin AV, Pertea GM, Razaghi R, Salzberg SL, Pertea M. Transcriptome assembly from long-read RNA-seq alignments with StringTie2. Genome Biol. 2019;20:278.
Article CAS PubMed PubMed Central Google Scholar
Lamb J, Crawford ED, Peck D, Modell JW, Blat IC, Wrobel MJ, et al. The Connectivity Map: using gene-expression signatures to connect small molecules, genes, and disease. Science. 2006;313:1929–35.
Article CAS PubMed Google Scholar
Ushijima M, Mashima T, Tomida A, Dan S, Saito S, Furuno A, et al. Development of a gene expression database and related analysis programs for evaluation of anticancer compounds. Cancer Sci. 2013;104:360–8.
Article CAS PubMed PubMed Central Google Scholar
Mashima T, Ushijima M, Matsuura M, Tsukahara S, Kunimasa K, Furuno A, et al. Comprehensive transcriptomic analysis of molecularly targeted drugs in cancer for target pathway evaluation. Cancer Sci. 2015;106:909–20.
Article CAS PubMed PubMed Central Google Scholar
Hao Y, Hao S, Andersen-Nissen E, Mauck WM, Zheng S, Butler A, et al. Integrated analysis of multimodal single-cell data. Cell. 2021;184:3573–87.
Article CAS PubMed PubMed Central Google Scholar
Wu T, Hu E, Xu S, Chen M, Guo P, Dai Z, et al. clusterProfiler 4.0: a universal enrichment tool for interpreting omics data. Innovation (Camb). 2021;2:100141.
Shimizu T, Nakamura T, Inaba H, Iwasa H, Maruyama J, Arimoto-Matsuzaki K, et al. The RAS-interacting chaperone UNC119 drives the RASSF6–MDM2–p53 axis and antagonizes RAS-mediated malignant transformation. J Biol Chem. 2020;295:11214–30.
Article CAS PubMed PubMed Central Google Scholar
Luo W, Brouwer C. Pathview: an R/Bioconductor package for pathway-based data integration and visualization. Bioinformatics. 2013;29:1830–1.
Article CAS PubMed PubMed Central Google Scholar
Novita Sari I, Setiawan T, Seock Kim K, Toni Wijaya Y, Won Cho K, Young Kwon H. Metabolism and function of polyamines in cancer progression. Cancer Lett. 2021;519:91–104.
Article CAS PubMed Google Scholar
Kanai Y. Amino acid transporter LAT1 (SLC7A5) as a molecular target for cancer diagnosis and therapeutics. Pharm Ther. 2022;230:107964.
Xu Q, Liu Y, Sun W, Song T, Jiang X, Zeng K, et al. Blockade LAT1 mediates methionine metabolism to overcome oxaliplatin resistance under hypoxia in renal cell carcinoma. Cancers (Basel). 2022;14:2551.
Article CAS PubMed Google Scholar
Kanai Y, Hediger MA. The glutamate/neutral amino acid transporter family SLC1: molecular, physiological and pharmacological aspects. Pflug Arch. 2004;447:469–79.
Okunushi K, Furihata T, Morio H, Muto Y, Higuchi K, Kaneko M, et al. JPH203, a newly developed anti-cancer drug, shows a preincubation inhibitory effect on L-type amino acid transporter 1 function. J Pharm Sci. 2020;144:16–22.
Wang L, Li X, Mu Y, Lu C, Tang S, Lu K, et al. The iron chelator desferrioxamine synergizes with chemotherapy for cancer treatment. J Trace Elem Med Biol. 2019;56:131–8.
Article CAS PubMed Google Scholar
Kim JL, Lee DH, Na YJ, Kim BR, Jeong YA, Lee SI, et al. Iron chelator-induced apoptosis via the ER stress pathway i
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