Dataset Information

Comprehensive Analysis of the Expression and Prognosis for TDO2 in Breast Cancer.

ABSTRACT: A plethora of previous studies have been focused on the role of indoleamine 2,3-dioxygenase 1 (IDO1) in cancer immunity; however, the alternative way of targeting tryptophan 2,3-dioxygenase (TDO2) in cancer immunotherapy has been largely ignored. In particular, the specific role of TDO2 in breast cancer remains unclear. In the present study, we systematically explored and validated the expression and prognostic value of TDO2 in breast cancer using large-scale transcriptome data. We observed overexpression of TDO2 in many types of cancer tissues compared with adjacent normal tissues. TDO2 overexpression was revealed to be positively correlated with malignancy and tumor grade in breast cancer. TDO2 expression was higher in estrogen-negative breast cancer and triple-negative breast cancer, and it was correlated with worse outcome in breast cancer patients. TDO2 expression was correlated with immune infiltrates and tryptophan metabolism-related genes (IDO1 and kynureninase [KYNU]). Therefore, our results indicated that TDO2 plays a pivotal role in regulating the immune microenvironment and tryptophan metabolism in breast cancer, and it predicts poor prognosis in breast cancer, which suggests that TDO2 might be a promising novel immunotherapy target for breast cancer. Additionally, we established the concept that tryptophan-catabolizing enzymes (IDO1, IDO2, TDO2, and KYNU) may function through co-regulating the immunological microenvironment, and thus immunotherapy targeting IDO1 alone might be insufficient.

SUBMITTER: Liu Q

PROVIDER: S-EPMC7178007 | biostudies-literature | 2020 Jun

REPOSITORIES: biostudies-literature

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Publications

<i>Comprehensive Analysis of the Expression</i> <i>and Prognosis for TDO2 in Breast Cancer</i>.

Liu Qiang Q Zhai Jie J Kong Xiangyi X Wang Xiangyu X Wang Zhongzhao Z Fang Yi Y Wang Jing J

Molecular therapy oncolytics 20200330

A plethora of previous studies have been focused on the role of indoleamine 2,3-dioxygenase 1 (IDO1) in cancer immunity; however, the alternative way of targeting tryptophan 2,3-dioxygenase (TDO2) in cancer immunotherapy has been largely ignored. In particular, the specific role of TDO2 in breast cancer remains unclear. In the present study, we systematically explored and validated the expression and prognostic value of TDO2 in breast cancer using large-scale transcriptome data. We observed over ...[more]

PMID: 32346606

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Project description:The potential of applying data analysis tools to microarray data for diagnosis and prognosis is illustrated on the recent breast cancer dataset of van 't Veer and coworkers. We re-examine that dataset using the novel technique of logical analysis of data (LAD), with the double objective of discovering patterns characteristic for cases with good or poor outcome, using them for accurate and justifiable predictions; and deriving novel information about the role of genes, the existence of special classes of cases, and other factors.Data were analyzed using the combinatorics and optimization-based method of LAD, recently shown to provide highly accurate diagnostic and prognostic systems in cardiology, cancer proteomics, hematology, pulmonology, and other disciplines.LAD identified a subset of 17 of the 25,000 genes, capable of fully distinguishing between patients with poor, respectively good prognoses. An extensive list of 'patterns' or 'combinatorial biomarkers' (that is, combinations of genes and limitations on their expression levels) was generated, and 40 patterns were used to create a prognostic system, shown to have 100% and 92.9% weighted accuracy on the training and test sets, respectively. The prognostic system uses fewer genes than other methods, and has similar or better accuracy than those reported in other studies. Out of the 17 genes identified by LAD, three (respectively, five) were shown to play a significant role in determining poor (respectively, good) prognosis. Two new classes of patients (described by similar sets of covering patterns, gene expression ranges, and clinical features) were discovered. As a by-product of the study, it is shown that the training and the test sets of van 't Veer have differing characteristics.The study shows that LAD provides an accurate and fully explanatory prognostic system for breast cancer using genomic data (that is, a system that, in addition to predicting good or poor prognosis, provides an individualized explanation of the reasons for that prognosis for each patient). Moreover, the LAD model provides valuable insights into the roles of individual and combinatorial biomarkers, allows the discovery of new classes of patients, and generates a vast library of biomedical research hypotheses.

Dataset Information

Comprehensive Analysis of the Expression and Prognosis for TDO2 in Breast Cancer.

Publications

<i>Comprehensive Analysis of the Expression</i> <i>and Prognosis for TDO2 in Breast Cancer</i>.

Similar Datasets

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