|
1
|
Arnold M, Morgan E, Rumgay H, Mafra A,
Singh D, Laversanne M, Vignat J, Gralow JR, Cardoso F, Siesling S
and Soerjomataram I: Current and future burden of breast cancer:
Global statistics for 2020 and 2040. Breast. 66:15–23. 2022.
View Article : Google Scholar : PubMed/NCBI
|
|
2
|
Sung H, Ferlay J, Siegel RL, Laversanne M,
Soerjomataram I, Jemal A and Bray F: Global cancer statistics 2020:
GLOBOCAN estimates of ıncidence and mortality worldwide for 36
cancers in 185 countries. CA Cancer J Clin. 71:209–249. 2021.
View Article : Google Scholar : PubMed/NCBI
|
|
3
|
Giaquinto AN, Sung H, Miller KD, Kramer
JL, Newman LA, Minihan A, Jemal A and Siegel RL: Breast cancer
statistics, 2022. CA Cancer J Clin. 72:524–541. 2022. View Article : Google Scholar : PubMed/NCBI
|
|
4
|
Harbeck N, Penault-Llorca F, Cortes J,
Gnant M, Houssami N, Poortmans P, Ruddy K, Tsang J and Cardoso F:
Breast cancer. Nat Rev Dis Primers. 5:662019. View Article : Google Scholar : PubMed/NCBI
|
|
5
|
Eliyatkın N, Yalçın E, Zengel B, Aktaş S
and Vardar E: Molecular classification of breast carcinoma: From
traditional, old-fashioned way to a new age, and a new way. J
Breast Health. 11:59–66. 2013. View Article : Google Scholar
|
|
6
|
Yoneten KK, Kasap M, Akpınar G, Gunes A,
Gurel B and Utkan NZ: Comparative proteome analysis of breast
cancer tissues highlights the ımportance of glycerol-3-phosphate
dehydrogenase 1 and monoacylglycerol lipase in breast cancer
metabolism. Cancer Genomics Proteomics. 16:377–397. 2019.
View Article : Google Scholar : PubMed/NCBI
|
|
7
|
Wu Q, Li J, Zhu S, Wu J, Chen C, Liu Q,
Wei W, Zhang Y and Sun S: Breast cancer subtypes predict the
preferential site of distant metastases: A SEER based study.
Oncotarget. 8:27990–27996. 2017. View Article : Google Scholar : PubMed/NCBI
|
|
8
|
Zhou C, Yu J, Wang M, Yang J, Xiong H,
Huang H, Wu D, Hu S, Wang Y, Chen XZ and Tang J: Identification of
glycerol-3-phosphate dehydrogenase 1 as a tumour suppressor in
human breast cancer. Oncotarget. 8:101309–101324. 2017. View Article : Google Scholar : PubMed/NCBI
|
|
9
|
Yoneten KK, Kasap M, Arga KY, Akpinar G
and Utkan NZ: Decreased serum levels of glycerol-3-phosphate
dehydrogenase 1 and monoacylglycerol lipase act as diagnostic
biomarkers for breast cancer. Cancer Biomark. 34:67–76. 2022.
View Article : Google Scholar : PubMed/NCBI
|
|
10
|
Zhang J, Liu Z, Lian Z, Liao R, Chen Y,
Qin Y, Wang J, Jiang Q, Wang X and Gong J: Monoacylglycerol lipase:
A novel potential therapeutic target and prognostic ındicator for
hepatocellular carcinoma. Sci Rep. 6:357842016. View Article : Google Scholar : PubMed/NCBI
|
|
11
|
Williams SL, Birdsong GG, Cohen C and
Siddiqui MT: Immunohistochemical detection of estrogen and
progesterone receptor and HER2 expression in breast carcinomas:
Comparison of cell block and tissue block preparations. Int J Clin
Exp Pathol. 2:476–480. 2009.PubMed/NCBI
|
|
12
|
Ye L, Zhang B, Seviour EG, Tao KX, Liu XH,
Ling Y, Chen JY and Wang GB: Monoacylglycerol lipase (MAGL)
knockdown inhibits tumor cells growth in colorectal cancer. Cancer
Lett. 307:6–17. 2011. View Article : Google Scholar : PubMed/NCBI
|
|
13
|
Zhong JM, Li J, Kang AD, Huang SQ, Liu WB,
Zhang Y, Liu ZH and Zeng L: Protein S100-A8: A potential
metastasis-associated protein for breast cancer determined via
iTRAQ quantitative proteomic and clinicopathological analysis.
Oncol Lett. 15:5285–5293. 2018.PubMed/NCBI
|
|
14
|
Zhang X: Molecular classification of
breast cancer: Relevance and challenges. Arch Pathol Lab Med.
147:46–51. 2022. View Article : Google Scholar : PubMed/NCBI
|
|
15
|
van Zijl F, Krupitza G and Mikulits W:
Initial steps of metastasis: Cell invasion and endothelial
transmigration. Mutat Res. 728:23–34. 2011. View Article : Google Scholar : PubMed/NCBI
|
|
16
|
Chen F, Li X, Lin X, Chen L, Lin Z, Wu H
and Chen J: Can axillary lymph node dissection be omitted in breast
cancer patients with metastatic sentinel lymph nodes undergoing
mastectomy? A systematic review and meta-analysis of real-world
evidence. World J Surg. 47:2446–2456. 2023. View Article : Google Scholar : PubMed/NCBI
|
|
17
|
Zhang W, He X, Yin H, Cao W, Lin T, Chen
W, Diao W, Ding M, Hu H, Mo W, et al: Allosteric activation of the
metabolic enzyme GPD1 inhibits bladder cancer growth via the
lysoPC-PAFR-TRPV2 axis. J Hematol Oncol. 15:932022. View Article : Google Scholar : PubMed/NCBI
|
|
18
|
Chen LY, Huang RL, Su PH, Chu LH, Weng YC,
Wang HC, Lai HC and Wen KC: Epigenomic profiling of epithelial
ovarian cancer stem-cell differentiation reveals GPD1 associated
ımmune suppressive microenvironment and poor prognosis. Int J Mol
Sci. 23:51202022. View Article : Google Scholar : PubMed/NCBI
|
|
19
|
Liu R, Feng Y, Deng Y, Zou Z, Ye J, Cai Z,
Zhu X, Liang Y, Lu J, Zhang H, et al: A HIF1α-GPD1 feedforward loop
inhibits the progression of renal clear cell carcinoma via
mitochondrial function and lipid metabolism. J Exp Clin Cancer Res.
40:1882021. View Article : Google Scholar : PubMed/NCBI
|
|
20
|
Nomura DK, Long JZ, Niessen S, Hoover HS,
Ng SW and Cravatt BF: Monoacylglycerol lipase regulates a fatty
acid network that promotes cancer pathogenesis. Cell. 140:49–61.
2010. View Article : Google Scholar : PubMed/NCBI
|
|
21
|
Takeuchi K and Reue K: Biochemistry,
physiology, and genetics of GPAT, AGPAT, and lipin enzymes in
triglyceride synthesis. Am J Physiol Endocrinol Metab.
296:E1195–E1209. 2009. View Article : Google Scholar : PubMed/NCBI
|
|
22
|
Yu J, Loh K, Song ZY, Yang HQ, Zhang Y and
Lin S: Update on glycerol-3-phosphate acyltransferases: The roles
in the development of insulin resistance. Nutr Diabetes. 8:342018.
View Article : Google Scholar : PubMed/NCBI
|
|
23
|
Ahmadian M, Duncan RE, Jaworski K,
Sarkadi-Nagy E and Sul HS: Triacylglycerol metabolism in adipose
tissue. Futur Lipidol. 2:229–237. 2007. View Article : Google Scholar : PubMed/NCBI
|
|
24
|
Fu Y, Zou T, Shen X, Nelson PJ, Li J, Wu
C, Yang J, Zheng Y, Bruns C, Zhao Y, et al: Lipid metabolism in
cancer progression and therapeutic strategies. MedComm (2020).
2:27–59. 2020.PubMed/NCBI
|
|
25
|
Wang S, Wang Y, Wang Y, Li Q, Zeng K, Li X
and Feng X: Myc derived circRNA promotes triple-negative breast
cancer progression via reprogramming fatty acid metabolism. Discov
Oncol. 14:672023. View Article : Google Scholar : PubMed/NCBI
|
