{"title":"ALDOA在乳腺癌中的表达及临床意义。","authors":"Yuning Dai, Yong Yang, Xiaohua Li, Guojian Shi, Ting Ni, Qilu Zhu, Qin He, Aoni Hu, Hao Jiang, Jianxia Liu, Ting Lu, Jie Sun, Enqiao Yu, Liang Sun","doi":"10.2147/OTT.S518473","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Several malignant tumors have been shown to overexpress aldolase A (ALDOA), a crucial enzyme in the glycolytic cycle. Though, it is still unknown how ALDOA contributes to breast cancer (BC).</p><p><strong>Methods: </strong>Using GEPIA, TIMER, UALCAN, BC-GenExMiner v5.1 database, and immunohistochemistry on 96 BC patients, the expression of ALDOA was investigated. The correlation between ALDOA expression and the prognosis was evaluated by employing the Kaplan-Meier (KM) plotter in breast cancer patients.</p><p><strong>Results: </strong>The expression of ALDOA mRNA was higher in BC compared to the normal tissues. Certain subtypes of BC showed higher ALDOA expression, including micropapillary, luminal B, non-basal-like, non-triple negative breast cancer (TNBC), and luminal androgen receptor (LAR). Overexpression of ALDOA was related to the presence of lymph node metastasis (LNM), older age, high Ki67 expression, estrogen receptor (ER) and progesterone receptor (PR) positivity, and advanced Scarff-Bloom-Richardson (SBR) and Nottingham Prognostic Index (NPI) grades, while decreased ALDOA mRNA levels were observed in TNBC and basal-like BC. KM plotter showed that higher ALDOA mRNA levels predicted worse overall survival (OS), relapse-free survival (RFS), and distant metastasis-free survival (DMFS) overall. However, in BC patients with LNM, higher ALDOA levels correlated to better DMFS.</p><p><strong>Conclusion: </strong>ALDOA was a crucial prognostic factor required for BC advancement, indicating a possible target for BC treatment.</p>","PeriodicalId":19534,"journal":{"name":"OncoTargets and therapy","volume":"18 ","pages":"845-862"},"PeriodicalIF":2.8000,"publicationDate":"2025-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12333646/pdf/","citationCount":"0","resultStr":"{\"title\":\"The Expression and Clinical Significance of ALDOA in Breast Cancer.\",\"authors\":\"Yuning Dai, Yong Yang, Xiaohua Li, Guojian Shi, Ting Ni, Qilu Zhu, Qin He, Aoni Hu, Hao Jiang, Jianxia Liu, Ting Lu, Jie Sun, Enqiao Yu, Liang Sun\",\"doi\":\"10.2147/OTT.S518473\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Several malignant tumors have been shown to overexpress aldolase A (ALDOA), a crucial enzyme in the glycolytic cycle. Though, it is still unknown how ALDOA contributes to breast cancer (BC).</p><p><strong>Methods: </strong>Using GEPIA, TIMER, UALCAN, BC-GenExMiner v5.1 database, and immunohistochemistry on 96 BC patients, the expression of ALDOA was investigated. The correlation between ALDOA expression and the prognosis was evaluated by employing the Kaplan-Meier (KM) plotter in breast cancer patients.</p><p><strong>Results: </strong>The expression of ALDOA mRNA was higher in BC compared to the normal tissues. Certain subtypes of BC showed higher ALDOA expression, including micropapillary, luminal B, non-basal-like, non-triple negative breast cancer (TNBC), and luminal androgen receptor (LAR). Overexpression of ALDOA was related to the presence of lymph node metastasis (LNM), older age, high Ki67 expression, estrogen receptor (ER) and progesterone receptor (PR) positivity, and advanced Scarff-Bloom-Richardson (SBR) and Nottingham Prognostic Index (NPI) grades, while decreased ALDOA mRNA levels were observed in TNBC and basal-like BC. KM plotter showed that higher ALDOA mRNA levels predicted worse overall survival (OS), relapse-free survival (RFS), and distant metastasis-free survival (DMFS) overall. However, in BC patients with LNM, higher ALDOA levels correlated to better DMFS.</p><p><strong>Conclusion: </strong>ALDOA was a crucial prognostic factor required for BC advancement, indicating a possible target for BC treatment.</p>\",\"PeriodicalId\":19534,\"journal\":{\"name\":\"OncoTargets and therapy\",\"volume\":\"18 \",\"pages\":\"845-862\"},\"PeriodicalIF\":2.8000,\"publicationDate\":\"2025-08-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12333646/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"OncoTargets and therapy\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.2147/OTT.S518473\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q3\",\"JCRName\":\"BIOTECHNOLOGY & APPLIED MICROBIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"OncoTargets and therapy","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2147/OTT.S518473","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q3","JCRName":"BIOTECHNOLOGY & APPLIED MICROBIOLOGY","Score":null,"Total":0}
The Expression and Clinical Significance of ALDOA in Breast Cancer.
Background: Several malignant tumors have been shown to overexpress aldolase A (ALDOA), a crucial enzyme in the glycolytic cycle. Though, it is still unknown how ALDOA contributes to breast cancer (BC).
Methods: Using GEPIA, TIMER, UALCAN, BC-GenExMiner v5.1 database, and immunohistochemistry on 96 BC patients, the expression of ALDOA was investigated. The correlation between ALDOA expression and the prognosis was evaluated by employing the Kaplan-Meier (KM) plotter in breast cancer patients.
Results: The expression of ALDOA mRNA was higher in BC compared to the normal tissues. Certain subtypes of BC showed higher ALDOA expression, including micropapillary, luminal B, non-basal-like, non-triple negative breast cancer (TNBC), and luminal androgen receptor (LAR). Overexpression of ALDOA was related to the presence of lymph node metastasis (LNM), older age, high Ki67 expression, estrogen receptor (ER) and progesterone receptor (PR) positivity, and advanced Scarff-Bloom-Richardson (SBR) and Nottingham Prognostic Index (NPI) grades, while decreased ALDOA mRNA levels were observed in TNBC and basal-like BC. KM plotter showed that higher ALDOA mRNA levels predicted worse overall survival (OS), relapse-free survival (RFS), and distant metastasis-free survival (DMFS) overall. However, in BC patients with LNM, higher ALDOA levels correlated to better DMFS.
Conclusion: ALDOA was a crucial prognostic factor required for BC advancement, indicating a possible target for BC treatment.
期刊介绍：
OncoTargets and Therapy is an international, peer-reviewed journal focusing on molecular aspects of cancer research, that is, the molecular diagnosis of and targeted molecular or precision therapy for all types of cancer.
The journal is characterized by the rapid reporting of high-quality original research, basic science, reviews and evaluations, expert opinion and commentary that shed novel insight on a cancer or cancer subtype.
Specific topics covered by the journal include:
-Novel therapeutic targets and innovative agents
-Novel therapeutic regimens for improved benefit and/or decreased side effects
-Early stage clinical trials
Further considerations when submitting to OncoTargets and Therapy:
-Studies containing in vivo animal model data will be considered favorably.
-Tissue microarray analyses will not be considered except in cases where they are supported by comprehensive biological studies involving multiple cell lines.
-Biomarker association studies will be considered only when validated by comprehensive in vitro data and analysis of human tissue samples.
-Studies utilizing publicly available data (e.g. GWAS/TCGA/GEO etc.) should add to the body of knowledge about a specific disease or relevant phenotype and must be validated using the authors’ own data through replication in an independent sample set and functional follow-up.
-Bioinformatics studies must be validated using the authors’ own data through replication in an independent sample set and functional follow-up.
-Single nucleotide polymorphism (SNP) studies will not be considered.
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