Lohr, J. G., Stojanov, P., Carter, S. L., Cruz-Gordillo, P., Lawrence, M. S., Auclair, D., Sougnez, C., Knoechel, B., Gould, J., & Saksena, G. (2014). Widespread genetic heterogeneity in multiple myeloma: implications for targeted therapy. Cancer Cell, 25, 91–101.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Marando, L., & Huntly, B. J. P. (2020). Molecular landscape of acute myeloid leukemia: prognostic and therapeutic implications. Current Oncology Reports, 22, 1–9.

Article  Google Scholar 

Lynch, H. T., Ferrara, K., Barlogie, B., Coleman, E. A., Lynch, J. F., Weisenburger, D., Sanger, W., Watson, P., Nipper, H., & Witt, V. (2008). Familial myeloma. New England Journal of Medicine, 359, 152–157.

Article  CAS  PubMed  Google Scholar 

Shah, V., Sherborne, A. L., Walker, B. A., Johnson, D. C., Boyle, E. M., Ellis, S., Begum, D. B., Proszek, P. Z., Jones, J. R., & Pawlyn, C. (2018). Prediction of outcome in newly diagnosed myeloma: a meta-analysis of the molecular profiles of 1905 trial patients. Leukemia, 32, 102–110.

Article  CAS  PubMed  Google Scholar 

Bolli, N., Avet-Loiseau, H., Wedge, D. C., Van Loo, P., Alexandrov, L. B., Martincorena, I., Dawson, K. J., Iorio, F., Nik-Zainal, S., & Bignell, G. R. (2014). Heterogeneity of genomic evolution and mutational profiles in multiple myeloma. Nature Communications, 5, 2997.

Article  PubMed  Google Scholar 

Logie, E., Van Puyvelde, B., Cuypers, B., Schepers, A., Berghmans, H., Verdonck, J., Laukens, K., Godderis, L., Dhaenens, M., & Deforce, D. (2021). Ferroptosis induction in multiple myeloma cells triggers DNA methylation and histone modification changes associated with cellular senescence. International Journal of Molecular Sciences, 22, 12234.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Zhang, J., Liu, Y., Zuo, L., Fan, F., Yan, H., Zhao, F., Li, J., Ma, C., Li, Q., & Xu, A. (2024). Class II ferroptosis inducers are a novel therapeutic approach for t (4; 14)-positive multiple myeloma. Blood Advances, 8, 5022–5038.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Dixon, S. J., Lemberg, K. M., Lamprecht, M. R., Skouta, R., Zaitsev, E. M., Gleason, C. E., Patel, D. N., Bauer, A. J., Cantley, A. M., Yang, W. S., Morrison, 3rd, B., & Stockwell, B. R. (2012). Ferroptosis: an iron-dependent form of nonapoptotic cell death. Cell, 149, 1060–1072. https://doi.org/10.1016/j.cell.2012.03.042.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Wei, J., Xie, Q., Liu, X., Wan, C., Wu, W., Fang, K., Yao, Y., Cheng, P., Deng, D., & Liu, Z. (2020). Identification the prognostic value of glutathione peroxidases expression levels in acute myeloid leukemia. Annals of Translational Medicine, 8, 678.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Yang, W. S., SriRamaratnam, R., Welsch, M. E., Shimada, K., Skouta, R., Viswanathan, V. S., Cheah, J. H., Clemons, P. A., Shamji, A. F., & Clish, C. B. (2014). Regulation of ferroptotic cancer cell death by GPX4. Cell, 156, 317–331.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Zhang, Q., Zhao, D., Xie, W., Xie, X., Guo, M., Wang, M., Wang, W., Liu, W., & Liu, J. (2016). Changes of hospitalization rates and in-hospital mortality for coronary heart disease in Beijing from 2007–2012. Zhonghua Xin Xue Guan Bing Za Zhi, 44, 43–49.

PubMed  Google Scholar 

Basuli, D., Tesfay, L., Deng, Z., Paul, B., Yamamoto, Y., Ning, G., Xian, W., McKeon, F., Lynch, M., & Crum, C. P. (2017). Iron addiction: a novel therapeutic target in ovarian cancer. Oncogene, 36, 4089–4099.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Jiang, M., Qiao, M., Zhao, C., Deng, J., Li, X., & Zhou, C. (2020). Targeting ferroptosis for cancer therapy: exploring novel strategies from its mechanisms and role in cancers. Translational Lung Cancer Research, 9, 1569.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Sun, X., Niu, X., Chen, R., He, W., Chen, D., Kang, R., & Tang, D. (2016). Metallothionein‐1G facilitates sorafenib resistance through inhibition of ferroptosis. Hepatology, 64, 488–500.

Article  CAS  PubMed  Google Scholar 

Liang, J., Wang, D., Lin, H., Chen, X., Yang, H., Zheng, Y., & Li, Y. (2020). A novel ferroptosis-related gene signature for overall survival prediction in patients with hepatocellular carcinoma. International Journal of Biological Sciences, 16, 2430.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Clough, E., Barrett, T., Wilhite, S. E., Ledoux, P., Evangelista, C., Kim, I. F., Tomashevsky, M., Marshall, K. A., Phillippy, K. H., & Sherman, P. M. (2024). NCBI GEO: archive for gene expression and epigenomics data sets: 23-year update. Nucleic Acids Research, 52, D138–D144.

Article  CAS  PubMed  Google Scholar 

Davis, S., & Meltzer, P. S. (2007). GEOquery: a bridge between the Gene Expression Omnibus (GEO) and BioConductor. Bioinformatics, 23, 1846–1847.

Article  PubMed  Google Scholar 

Ma, L., Ma, Q., Deng, Q., Zhou, J., Zhou, Y., Wei, Q., Huang, Z., Lao, X., & Du, P. (2023). N7-methylguanosine-related miRNAs predict hepatocellular carcinoma prognosis and immune therapy. Aging (Albany NY), 15, 12192.

Article  CAS  PubMed  Google Scholar 

Kassambara, A. (2020). ggpubr:“ggplot2” based publication ready plots. R Package Version 0.4. 0, 438. https://CRAN.R-project.org/package=ggpubr.

Love, M. I., Huber, W., & Anders, S. (2014). Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. Genome Biology, 15, 1–21.

Article  Google Scholar 

Boyle, E. I., Weng, S., Gollub, J., Jin, H., Botstein, D., Cherry, J. M., & Sherlock, G. (2004). GO:: TermFinder—open source software for accessing Gene Ontology information and finding significantly enriched Gene Ontology terms associated with a list of genes. Bioinformatics, 20, 3710–3715.

Article  CAS  PubMed  Google Scholar 

Szklarczyk, D., Gable, A. L., Lyon, D., Junge, A., Wyder, S., Huerta-Cepas, J., Simonovic, M., Doncheva, N. T., Morris, J. H., Bork, P., Jensen, L. J., & Mering, C. V. (2019). STRING v11: protein-protein association networks with increased coverage, supporting functional discovery in genome-wide experimental datasets. Nucleic Acids Research, 47, D607–D613. https://doi.org/10.1093/nar/gky1131.

Article  CAS  PubMed  Google Scholar 

Kanehisa, M., Furumichi, M., Tanabe, M., Sato, Y., & Morishima, K. (2017). KEGG: new perspectives on genomes, pathways, diseases and drugs. Nucleic Acids Research, 45, D353–D361.

Article  CAS  PubMed  Google Scholar 

Kanehisa, M., & Goto, S. (2000). KEGG: kyoto encyclopedia of genes and genomes. Nucleic Acids Research, 28, 27–30.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Zhou, J., Wang, Z., He, Y., Luo, X., Zhang, W., Yu, L., Chen, X., He, X., Yuan, Y., & Wang, X. (2020). Qiliqiangxin reduced cardiomyocytes apotosis and improved heart function in infarcted heart through Pink1/Parkin-mediated mitochondrial autophagy. BMC Complementary Medicine and Therapies, 20, 1–11.

Article  CAS  Google Scholar 

Carlson, M., Falcon, S., Pages, H., & Li, N. (2019). org. Hs. eg. db: Genome wide annotation for Human. R Package Version, 3, 3.

Google Scholar 

Wu, T., Hu, E., Xu, S., Chen, M., Guo, P., Dai, Z., Feng, T., Zhou, L., Tang, W., & Zhan, L. I. (2021). clusterProfiler 4.0: a universal enrichment tool for interpreting omics data. The Innovation, 2, 100141.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Mering, C. V., Huynen, M., Jaeggi, D., Schmidt, S., Bork, P., & Snel, B. (2003). STRING: a database of predicted functional associations between proteins. Nucleic Acids Research, 31, 258–261.

Article  Google Scholar 

Shannon, P., Markiel, A., Ozier, O., Baliga, N. S., Wang, J. T., Ramage, D., Amin, N., Schwikowski, B., & Ideker, T. (2003). Cytoscape: a software environment for integrated models of biomolecular interaction networks. Genome Research, 13, 2498–2504.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Smoot, M. E., Ono, K., Ruscheinski, J., Wang, P.-L., & Ideker, T. (2011). Cytoscape 2.8: new features for data integration and network visualization. Bioinformatics, 27, 431–432.

Article  CAS  PubMed