Ramakrishnan Anitha, Datta Indrani, Panja Sukanya, Patel Harmony, Liu Yingci, Craige Michael W, Chu Cassandra, Jean-Marie Giselle, Oladoja Abdur-Rahman, Kim Isaac, Mitrofanova Antonina
Department of Biomedical and Health Informatics, School of Health Professions, Rutgers, The State University of New Jersey, Newark, NJ, United States.
Department of Health Informatics and Information Management, College of Applied and Natural Sciences, Louisiana Tech University, Ruston, LA, United States.
Front Oncol. 2023 Sep 6;13:1222168. doi: 10.3389/fonc.2023.1222168. eCollection 2023.
Chronological aging is a well-recognized diagnostic and prognostic factor in multiple cancer types, yet the role of biological aging in manifesting cancer progression has not been fully explored yet.
Given the central role of chronological aging in prostate cancer and AML incidence, here we investigate a tissue-specific role of biological aging in prostate cancer and AML progression. We have employed Cox proportional hazards modeling to associate biological aging genes with cancer progression for patients from specific chronological aging groups and for patients with differences in initial cancer aggressiveness.
Our prostate cancer-specific investigations nominated four biological aging genes (CD44, GADD45B, STAT3, GFAP) significantly associated with time to disease progression in prostate cancer in Taylor et al. patient cohort. Stratified survival analysis on Taylor dataset and validation on an independent TCGA and DKFZ PRAD patient cohorts demonstrated ability of these genes to predict prostate cancer progression, especially for patients with higher Gleason score and for patients younger than 60 years of age. We have further tested the generalizability of our approach and applied it to acute myeloid leukemia (AML). Our analysis nominated three AML-specific biological aging genes (CDC42EP2, CDC42, ALOX15B) significantly associated with time to AML overall survival, especially for patients with favorable cytogenetic risk score and for patients older than 56 years of age.
Comparison of the identified PC and AML markers to genes selected at random and to known markers of progression demonstrated robustness of our results and nominated the identified biological aging genes as valuable markers of prostate cancer and AML progression, opening new avenues for personalized therapeutic management and potential novel treatment investigations.
在多种癌症类型中,按时间顺序的衰老已被公认为是一种诊断和预后因素,但生物衰老在癌症进展中的作用尚未得到充分探索。
鉴于按时间顺序的衰老在前列腺癌和急性髓系白血病(AML)发病中所起的核心作用,我们在此研究生物衰老在前列腺癌和AML进展中的组织特异性作用。我们采用Cox比例风险模型,将生物衰老基因与特定按时间顺序衰老组患者以及初始癌症侵袭性不同的患者的癌症进展相关联。
我们针对前列腺癌的特异性研究确定了四个生物衰老基因(CD44、GADD45B、STAT3、GFAP),它们与泰勒等人患者队列中前列腺癌的疾病进展时间显著相关。对泰勒数据集进行分层生存分析,并在独立的TCGA和DKFZ PRAD患者队列中进行验证,结果表明这些基因能够预测前列腺癌进展,特别是对于Gleason评分较高的患者以及60岁以下的患者。我们进一步测试了该方法的通用性,并将其应用于急性髓系白血病(AML)。我们的分析确定了三个AML特异性生物衰老基因(CDC42EP2、CDC42、ALOX15B),它们与AML总生存时间显著相关,特别是对于细胞遗传学风险评分良好的患者以及56岁以上的患者。
将所确定的前列腺癌和AML标志物与随机选择的基因以及已知的进展标志物进行比较,证明了我们结果的稳健性,并将所确定的生物衰老基因指定为前列腺癌和AML进展的有价值标志物,为个性化治疗管理和潜在的新型治疗研究开辟了新途径。