Breast cancer prognosis and immunological characteristics are predicted using the m6A/m5C/m1A/m7G-related long noncoding RNA signature
Author:
Publisher
Springer Science and Business Media LLC
Subject
Genetics,General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s10142-023-01026-y.pdf
Reference31 articles.
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3. Bhan A, Soleimani M, Mandal SS (2017) Long noncoding RNA and cancer: a new paradigm. Cancer Res 77(15):3965–3981. https://doi.org/10.1158/0008-5472.Can-16-2634
4. Coughlin SS (2019) Epidemiology of breast cancer in women. Adv Exp Med Biol 1152:9–29. https://doi.org/10.1007/978-3-030-20301-6_2
5. Das S, Camphausen K, Shankavaram U (2020) Cancer-specific immune prognostic signature in solid tumors and its relation to immune checkpoint therapies. Cancers (Basel) 12(9):2476. https://doi.org/10.3390/cancers12092476
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1. Retraction Note: Breast cancer prognosis and immunological characteristics are predicted using the m6A/m5C/m1A/m7G-related long noncoding RNA signature;Functional & Integrative Genomics;2024-05-21
2. Differential whole-genome doubling based signatures for improvement on clinical outcomes and drug response in patients with breast cancer;Heliyon;2024-04
3. Epitranscriptomic orchestrations: Unveiling the regulatory paradigm of m6A, A‐to‐I editing, and m5C in breast cancer via long noncoding RNAs and microRNAs;Cell Biochemistry and Function;2024-04
4. Identification and validation of N7‐methylguanosine‐associated gene NCBP1 as prognostic and immune‐associated biomarkers in breast cancer patients;Journal of Cellular and Molecular Medicine;2023-12-10
5. Stemness signature and targeted therapeutic drugs identification for Triple Negative Breast Cancer;Scientific Data;2023-11-20
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