Targeting senescence-associated secretory phenotypes to remodel the tumour microenvironment and modulate tumour outcomes

Se Ik Kim , Sangick Park , Eunyong Ahn , Jeunhui Kim , HyunA Jo , Juwon Lee , Untack Cho , Maria Lee , Cheol Lee , Danny N. Dhanasekaran , Taejin Ahn , Yong Sang Song

Clinical and Translational Medicine ›› 2024, Vol. 14 ›› Issue (9) : e1774

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Clinical and Translational Medicine ›› 2024, Vol. 14 ›› Issue (9) : e1774 DOI: 10.1002/ctm2.1774
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Targeting senescence-associated secretory phenotypes to remodel the tumour microenvironment and modulate tumour outcomes

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Se Ik Kim, Sangick Park, Eunyong Ahn, Jeunhui Kim, HyunA Jo, Juwon Lee, Untack Cho, Maria Lee, Cheol Lee, Danny N. Dhanasekaran, Taejin Ahn, Yong Sang Song. Targeting senescence-associated secretory phenotypes to remodel the tumour microenvironment and modulate tumour outcomes. Clinical and Translational Medicine, 2024, 14(9): e1774 DOI:10.1002/ctm2.1774

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References

[1]

Sung H, Ferlay J, Siegel RL, et al. Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2021;71(3):209-249.

[2]

O’Donnell RL, McCormick A, Mukhopadhyay A, et al. The use of ovarian cancer cells from patients undergoing surgery to generate primary cultures capable of undergoing functional analysis. PLoS One. 2014;9(6):e90604.

[3]

Hwangbo S, Kim S, Kim J, et al. Development of machine learning models to predict platinum sensitivity of high-grade serous ovarian carcinoma. Cancers. 2021;13(8):1875.

[4]

Schwarz RF, Ng C, Cooke SL, et al. Spatial and temporal heterogeneity in high-grade serous ovarian cancer: a phylogenetic analysis. PLoS Med. 2015;12(2):e1001789.

[5]

Dong A, Lu Y, Lu B, et al. Genomic/epigenomic alterations in ovarian carcinoma: translational insight into clinical practice. J Cancer. 2016;7(11):1441-1451.

[6]

Peres LC, Leitzinger CC, Sinha S, et al. Racial differences in the tumor immune landscape and survival of women with high-grade serous ovarian carcinoma. Cancer Epidemiol Biomarkers Prev. 2022;31(5):1006-1016.

[7]

Patch AM, Christie EL, Etemadmoghadam D, et al. Whole-genome characterization of chemoresistant ovarian cancer. Nature. 2015;521(7553):489-494. doi:10.1038/nature14410

[8]

Sun J, Bao S, Xu D, et al. Large-scale integrated analysis of ovarian cancer tumors and cell lines identifies an individualized gene expression signature for predicting response to platinum-based chemotherapy. Cell Death Dis. 2019;10(9):661.

[9]

Zhang Y, Cao L, Nguyen D, et al. TP53 mutations in epithelial ovarian cancer. Transl Cancer Res. 2016;5(6):650-663. 10.21037/tcr.2016.08.40

[10]

Dimitrova N, Nagaraj AB, Raz A, et al. InFlo: a novel systems biology framework identifies cAMP-CREB1 axis as a key modulator of platinum resistance in ovarian cancer. Oncogene. 2017;36(17):2472-2482.

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2024 The Author(s). Clinical and Translational Medicine published by John Wiley & Sons Australia, Ltd on behalf of Shanghai Institute of Clinical Bioinformatics.

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