Bibliometric analysis of phosphoglycerate kinase 1 expression in breast cancer and its distinct upregulation in triple-negative breast cancer

被引:0
作者
Chen, Jing-Yu [1 ]
Li, Jian-Di [1 ]
He, Rong-Quan [2 ]
Huang, Zhi-Guang [1 ]
Chen, Gang [1 ]
Zou, Wen [1 ]
机构
[1] Guangxi Med Univ, Affiliated Hosp 1, Dept Pathol, 6 Shuangyong Rd, Nanning 530021, Guangxi, Peoples R China
[2] Guangxi Med Univ, Affiliated Hosp 1, Dept Med Oncol, Nanning 530021, Guangxi, Peoples R China
来源
WORLD JOURNAL OF CLINICAL ONCOLOGY | 2024年 / 15卷 / 07期
关键词
Phosphoglycerate kinase 1; Breast cancer; Triple-negative breast cancer; Bibliometric analysis; Computational pathology; PROTEIN-KINASE; PGK1; BIOMARKER; OVEREXPRESSION; PROGNOSIS; SURVIVAL;
D O I
10.5306/wjco.v15.i7.867
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
BACKGROUND Phosphoglycerate kinase 1 (PGK1) has been identified as a possible biomarker for breast cancer (BC) and may play a role in the development and advancement of triple-negative BC (TNBC). AIM To explore the PGK1 and BC research status and PGK1 expression and mechanism differences among TNBC, non-TNBC, and normal breast tissue. METHODS PGK1 and BC related literature was downloaded from Web of Science Core Collection Core Collection. Publication counts, key-word frequency, cooperation networks, and theme trends were analyzed. Normal breast, TNBC, and non-TNBC mRNA data were gathered, and differentially expressed genes obtained. Area under the summary receiver operating characteristic curves, sensitivity and specificity of PGK1 expression were determined. Kaplan Meier revealed PGK1's prognostic implication. PGK1 co-expressed genes were explored, and Gene Ontology, Kyoto Encyclopedia of Genes and Genomes, and Disease Ontology applied. Protein-protein interaction networks were constructed. Hub genes identified. RESULTS PGK1 and BC related publications have surged since 2020, with China leading the way. The most frequent keyword was "Expression". Collaborative networks were found among co-citations, countries, institutions, and authors. PGK1 expression and BC progression were research hotspots, and PGK1 expression and BC survival were research frontiers. In 16 TNBC vs non-cancerous breast and 15 TNBC vs non-TNBC datasets, PGK1 mRNA levels were higher in 1159 TNBC than 1205 non-cancerous breast cases [standardized mean differences (SMD): 0.85, 95% confidence interval (95%CI): 0.54-1.16, I-2 = 86%, P < 0.001]. PGK1 expression was higher in 1520 TNBC than 7072 non-TNBC cases (SMD: 0.25, 95%CI: 0.03-0.47, I-2 = 91%, P = 0.02). Recurrence free survival was lower in PGK1-high-expression than PGK1-low-expression group (hazard ratio: 1.282, P = 0.023). PGK1 co-expressed genes were concentrated in ATP metabolic process, HIF-1 signaling, and glycolysis/gluconeogenesis pathways. CONCLUSION PGK1 expression is a research hotspot and frontier direction in the BC field. PGK1 may play a strong role in promoting cancer in TNBC by mediating metabolism and HIF-1 signaling pathways.
引用
收藏
页数:29
相关论文
共 71 条
  • [1] Non-coding RNAs, another side of immune regulation during triple-negative breast cancer
    Alghazali, Maha Waleed
    Al-Hetty, Hussein Riyadh Abdul Kareem
    Ali, Zahraa Muhsen M.
    Saleh, Marwan Mahmood
    Suleiman, Ahmed Abdul Jabbar
    Jalil, Abduladheem Turki
    [J]. PATHOLOGY RESEARCH AND PRACTICE, 2022, 239
  • [2] Nanobodies; new molecular instruments with special specifications for targeting, diagnosis and treatment of triple-negative breast cancer
    Bakherad, Hamid
    Ghasemi, Fahimeh
    Hosseindokht, Maryam
    Zare, Hamed
    [J]. CANCER CELL INTERNATIONAL, 2022, 22 (01)
  • [3] Evaluation of cfDNA as an early detection assay for dense tissue breast cancer
    Barbirou, Mouadh
    Miller, Amanda A.
    Gafni, Erik
    Mezlini, Amel
    Zidi, Asma
    Boley, Nathan
    Tonellato, Peter J.
    [J]. SCIENTIFIC REPORTS, 2022, 12 (01)
  • [4] Improved automated early detection of breast cancer based on high resolution 3D micro-CT microcalcification images
    Brahimetaj, Redona
    Willekens, Inneke
    Massart, Annelien
    Forsyth, Ramses
    Cornelis, Jan
    De Mey, Johan
    Jansen, Bart
    [J]. BMC CANCER, 2022, 22 (01)
  • [5] Homologous Recombination Deficiency (HRD) and BRCA 1/2 Gene Mutation for Predicting the Effect of Platinum-Based Neoadjuvant Chemotherapy of Early-Stage Triple-Negative Breast Cancer (TNBC): A Systematic Review and Meta-Analysis
    Chai, Yue
    Chen, Yujie
    Zhang, Di
    Wei, Yuce
    Li, Zhijun
    Li, Qiao
    Xu, Binghe
    [J]. JOURNAL OF PERSONALIZED MEDICINE, 2022, 12 (02):
  • [6] Roles and mechanisms of phosphoglycerate kinase 1 in cancer
    Chen, Yuyuan
    Cen, Lvjun
    Guo, Rong
    Huang, Sheng
    Chen, Dedian
    [J]. BULLETIN DU CANCER, 2022, 109 (12) : 1298 - 1307
  • [7] FOXO3A-induced LINC00926 suppresses breast tumor growth and metastasis through inhibition of PGK1-mediated Warburg effect
    Chu, Zhong
    Huo, Nan
    Zhu, Xiang
    Liu, Hanxiao
    Cong, Rui
    Ma, Luyuan
    Kang, Xiaofeng
    Xue, Chunyuan
    Li, Jingtong
    Li, Qihong
    You, Hua
    Zhang, Qingyuan
    Xu, Xiaojie
    [J]. MOLECULAR THERAPY, 2021, 29 (09) : 2737 - 2753
  • [8] Loss of REST in breast cancer promotes tumor progression through estrogen sensitization, MMP24 and CEMIP overexpression
    Cloud, Ashley S.
    Vargheese, Aditya M.
    Gunewardena, Sumedha
    Shimak, Raeann M.
    Ganeshkumar, Sornakala
    Kumaraswamy, Easwari
    Jensen, Roy A.
    Chennathukuzhi, Vargheese M.
    [J]. BMC CANCER, 2022, 22 (01)
  • [9] Neoadjuvant checkpoint blockade in combination with Chemotherapy in patients with tripe-negative breast cancer: exploratory analysis of real-world, multicenter data
    Deng, Heran
    Wang, Liying
    Wang, Na
    Zhang, Kejin
    Zhao, Yanxia
    Qiu, Pengfei
    Qi, Xiaowei
    Zhang, Danhua
    Xu, Fei
    Liu, Jieqiong
    [J]. BMC CANCER, 2023, 23 (01)
  • [10] Breast cancer detection using deep learning: Datasets, methods, and challenges ahead
    Din, Nusrat Mohi ud
    Dar, Rayees Ahmad
    Rasool, Muzafar
    Assad, Assif
    [J]. COMPUTERS IN BIOLOGY AND MEDICINE, 2022, 149