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Fatty acid synthetase expression in triple-negative breast cancer
Jin Hee Park, Hye Seung Han, So Dug Lim, Wook Youn Kim, Kyoung Sik Park, Young Bum Yoo, Seung Eun Lee, Wan-Seop Kim
J Pathol Transl Med. 2022;56(2):73-80.   Published online January 21, 2022
DOI: https://doi.org/10.4132/jptm.2021.10.27
  • 5,542 View
  • 196 Download
  • 7 Web of Science
  • 8 Crossref
AbstractAbstract PDF
Background
Triple-negative breast cancer (TNBC) has a relatively poor prognosis. Research has identified potential metabolic targets, including fatty acid metabolism, in TNBC. The absence of effective target therapies for TNBC led to exploration of the role of fatty acid synthetase (FASN) as a potential target for TNBC therapy. Here, we analyzed the expression of FASN, a representative lipid metabolism–related protein, and investigated the association between FASN expression and Ki-67 and the programmed death ligand 1 (PD-L1) biomarkers in TNBC.
Methods
Immunohistochemical expression of FASN was analyzed in 166 patients with TNBC. For analytical purposes, patients with 0–1+ FASN staining were grouped as low-grade FASN and patients with 2–3+ FASN staining as high-grade FASN.
Results
FASN expression was observed in 47.1% of TNBC patients. Low and high expression of FASN was identified in 75.9% and 24.1%, respectively, and no statistically significant difference was found in T category, N category, American Joint Committee on Cancer stage, or recurrence rate between the low and high-FASN expression groups. Ki-67 proliferation level was significantly different between the low and high-FASN expression groups. FASN expression was significantly related to Ki-67 as the level increased. There was no significant difference in PD-L1 positivity between the low- and high-FASN expression groups.
Conclusions
We identified FASN expression in 166 TNBC patients. The Ki-67 proliferation index was positively correlated with FASN level, indicating higher proliferation activity as FASN increases. However, there was no statistical association with PD-L1 SP142, the currently FDA-approved assay, or FASN expression level.

Citations

Citations to this article as recorded by  
  • Lipid metabolism involved in progression and drug resistance of breast cancer
    Wenxiang Fu, Aijun Sun, Huijuan Dai
    Genes & Diseases.2025; 12(4): 101376.     CrossRef
  • Protein biomarkers for diagnosis of breast cancer
    Emeka Eze Joshua Iweala, Doris Nnenna Amuji, Faith Chinasaokwu Nnaji
    Scientific African.2024; 25: e02308.     CrossRef
  • Microarray analysis points to LMNB1 and JUN as potential target genes for predicting metastasis promotion by etoposide in colorectal cancer
    Jiafei Liu, Hongjie Yang, Peng Li, Yuanda Zhou, Zhichun Zhang, Qingsheng Zeng, Xipeng Zhang, Yi Sun
    Scientific Reports.2024;[Epub]     CrossRef
  • The signature of extracellular vesicles in hypoxic breast cancer and their therapeutic engineering
    Baiheng Zhu, Kehao Xiang, Tanghua Li, Xin Li, Fujun Shi
    Cell Communication and Signaling.2024;[Epub]     CrossRef
  • NFYA promotes malignant behavior of triple-negative breast cancer in mice through the regulation of lipid metabolism
    Nobuhiro Okada, Chihiro Ueki, Masahiro Shimazaki, Goki Tsujimoto, Susumu Kohno, Hayato Muranaka, Kiyotsugu Yoshikawa, Chiaki Takahashi
    Communications Biology.2023;[Epub]     CrossRef
  • Role of EGFR and FASN in breast cancer progression
    Suchi Chaturvedi, Mainak Biswas, Sushabhan Sadhukhan, Avinash Sonawane
    Journal of Cell Communication and Signaling.2023; 17(4): 1249.     CrossRef
  • Bioinformatics Method Was Used to Analyze the Highly Expressed Gene FAM83A of Breast Cancer in Young Women
    Yongzhe Tang, Hao Wang, Qi He, Yuanyuan Chen, Jie Wang, Fahd Abd Algalil
    Applied Bionics and Biomechanics.2022; 2022: 1.     CrossRef
  • NCAPH promotes proliferation as well as motility of breast cancer cells by activating the PI3K/AKT pathway
    Ting Zhang, Peng Li, Wanying Guo, Qipeng Liu, Weiqiang Qiao, Miao Deng
    Physiology International.2022;[Epub]     CrossRef
Review
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Programmed cell death-ligand 1 assessment in urothelial carcinoma: prospect and limitation
Kyu Sang Lee, Gheeyoung Choe
J Pathol Transl Med. 2021;55(3):163-170.   Published online April 7, 2021
DOI: https://doi.org/10.4132/jptm.2021.02.22
  • 4,677 View
  • 161 Download
  • 6 Web of Science
  • 6 Crossref
AbstractAbstract PDF
Programmed cell death protein 1/programmed death-ligand 1 (PD-1/PD-L1) inhibition has revolutionized the treatment paradigm of urothelial carcinoma (UC). Several PD-L1 assays are conducted to formulate appropriate treatment decisions for PD-1/PD-L1 target therapy in UC. However, each assay has its own specific requirement of antibody clones, staining platforms, scoring algorithms, and cutoffs for the determination of PD-L1 status. These prove to be challenging constraints to pathology laboratories and pathologists. Thus, the present article comprehensively demonstrates the scoring algorithm used and differences observed in each assay (22C3, SP142, and SP263). Interestingly, the SP142 score algorithm considers only immune cells and not tumor cells (TCs). It remains controversial whether SP142 expressed only in TCs truly accounts for a negative PD-L1 case. Moreover, the scoring algorithm of each assay is complex and divergent, which can result in inter-observer heterogeneity. In this regard, the development of artificial intelligence for providing assistance to pathologists in obtaining more accurate and objective results has been actively researched. To facilitate efficiency of PD-L1 testing, several previous studies attempted to integrate and harmonize each assay in UC. The performance comparison of the various PD-L1 assays demonstrated in previous studies was encouraging, the exceptional concordance rate reported between 22C3 and SP263. Although these two assays may be used interchangeably, a clinically validated algorithm for each agent must be applied.

Citations

Citations to this article as recorded by  
  • Comparison of tissue biomarkers between non-schistosoma and schistosoma-associated urothelial carcinoma
    Nashwah Samir AlHariry, Enas A. El Saftawy, Basma Emad Aboulhoda, Ahmed H. Abozamel, Mansour A. Alghamdi, Amany E. Hamoud, Walaa Abd Elgawad Khalil Ghanam
    Tissue and Cell.2024; 88: 102416.     CrossRef
  • Aspectos prácticos sobre la determinación de PD-L1 en el tratamiento de carcinoma urotelial. Consenso del grupo de uropatología de la SEAP
    Antonio López-Beltrán, Pilar González-Peramato, Julián Sanz-Ortega, Juan Daniel Prieto Cuadra, Isabel Trias, Rafael J. Luque Barona, María Eugenia Semidey, Pablo Maroto, Ferran Algaba
    Revista Española de Patología.2023; 56(4): 261.     CrossRef
  • Systemic treatment of advanced and metastatic urothelial cancer: The landscape in Australia
    Howard Gurney, Timothy D. Clay, Niara Oliveira, Shirley Wong, Ben Tran, Carole Harris
    Asia-Pacific Journal of Clinical Oncology.2023; 19(6): 585.     CrossRef
  • PD-L1 Testing in Urothelial Carcinoma: Analysis of a Series of 1401 Cases Using Both the 22C3 and SP142 Assays
    Harriet Evans, Brendan O’Sullivan, Frances Hughes, Kathryn Charles, Lee Robertson, Philippe Taniere, Salvador Diaz-Cano
    Pathology and Oncology Research.2022;[Epub]     CrossRef
  • Insights on recent innovations in bladder cancer immunotherapy
    Mohamed A. Abd El‐Salam, Claire E.P. Smith, Chong‐Xian Pan
    Cancer Cytopathology.2022; 130(9): 667.     CrossRef
  • What Do We Have to Know about PD-L1 Expression in Prostate Cancer? A Systematic Literature Review. Part 1: Focus on Immunohistochemical Results with Discussion of Pre-Analytical and Interpretation Variables
    Andrea Palicelli, Martina Bonacini, Stefania Croci, Cristina Magi-Galluzzi, Sofia Cañete-Portillo, Alcides Chaux, Alessandra Bisagni, Eleonora Zanetti, Dario De Biase, Beatrice Melli, Francesca Sanguedolce, Moira Ragazzi, Maria Paola Bonasoni, Alessandra
    Cells.2021; 10(11): 3166.     CrossRef

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