<i>Ex vivo</i> STAT3 phosphorylation in circulating immune cells: a novel biomarker for early cancer diagnosis and response to anti-PD-1 therapy

Sung-Woo Lee; Young Ju Kim; Saei Jeong; Kyung Na Rho; Jeong Eun Noh; Hee-Ok Kim; Hyun-Ju Cho; Yoo Duk Choi; Deok Hwan Yang; Eu Chang Hwang; Woo Kyun Bae; Sook Jung Yun; Ju Sik Yun; Cheol-Kyu Park; In-Jae Oh; Jae-Ho Cho

doi:10.1002/cac2.12631

Cancer Communications ›› 2025, Vol. 45 ›› Issue (01) : 58-62. DOI: 10.1002/cac2.12631

LETTER TO THE JOURNAL

Ex vivo STAT3 phosphorylation in circulating immune cells: a novel biomarker for early cancer diagnosis and response to anti-PD-1 therapy

Sung-Woo Lee¹^,²^,³, ,
Young Ju Kim¹^,²^,³^,⁴, ,
Saei Jeong¹^,²^,³^,⁴ ,
Kyung Na Rho¹^,²^,³^,⁴ ,
Jeong Eun Noh¹^,²^,³^,⁴ ,
Hee-Ok Kim⁵ ,
Hyun-Ju Cho⁶ ,
Yoo Duk Choi⁷ ,
Deok Hwan Yang⁶ ,
Eu Chang Hwang⁸ ,
Woo Kyun Bae⁶ ,
Sook Jung Yun⁹ ,
Ju Sik Yun¹⁰ ,
Cheol-Kyu Park⁶ ,
In-Jae Oh⁶ ,
Jae-Ho Cho¹^,²^,³^,⁴

Author information +

History +

Cite this article

EndNote

Ris (Procite)

Bibtex

Download citation ▾

Sung-Woo Lee, Young Ju Kim, Saei Jeong, Kyung Na Rho, Jeong Eun Noh, Hee-Ok Kim, Hyun-Ju Cho, Yoo Duk Choi, Deok Hwan Yang, Eu Chang Hwang, Woo Kyun Bae, Sook Jung Yun, Ju Sik Yun, Cheol-Kyu Park, In-Jae Oh, Jae-Ho Cho. Ex vivo STAT3 phosphorylation in circulating immune cells: a novel biomarker for early cancer diagnosis and response to anti-PD-1 therapy. Cancer Communications, 2025, 45(01): 58‒62 https://doi.org/10.1002/cac2.12631

References

Publishing order | Descend order by publishing year | Descend order by cited within

[1]	Hu Y, Dong Z, Liu K. Unraveling the complexity of STAT3 in cancer: molecular understanding and drug discovery. J Exp Clin Cancer Res. 2024; 43(1): 23. CrossRef Google scholar

[2]	Lippitz BE. Cytokine patterns in patients with cancer: a systematic review. Lancet Oncol. 2013; 14(6): e218-e28. CrossRef Google scholar

[3]	Lippitz BE, Harris RA. Cytokine patterns in cancer patients: A review of the correlation between interleukin 6 and prognosis. Oncoimmunology. 2016; 5(5): e1093722. CrossRef Google scholar

[4]	Mousset CM, Hobo W, Woestenenk R, Preijers F, Dolstra H, van der Waart AB. Comprehensive Phenotyping of T Cells Using Flow Cytometry. Cytometry Part A. 2019; 95(6): 647-54. CrossRef Google scholar

[5]	Goutelle S, Maurin M, Rougier F, Barbaut X, Bourguignon L, Ducher M, et al. The Hill equation: a review of its capabilities in pharmacological modelling. Fundam Clin Pharmacol. 2008; 22(6): 633-48. CrossRef Google scholar

[6]	Casanovas G, Banerji A, d’Alessio F, Muckenthaler MU, Legewie S. A multi-scale model of hepcidin promoter regulation reveals factors controlling systemic iron homeostasis. PLoS Comput Biol. 2014; 10(1): e1003421. CrossRef Google scholar

[7]	Rakemann T, Niehof M, Kubicka S, Fischer M, Manns MP, Rose-John S. et al. The designer cytokine hyper-interleukin-6 is a potent activator of STAT3-dependent gene transcription in vivo and in vitro. J Biol Chem. 1999; 274(3): 1257-66. CrossRef Google scholar

[8]	Banchereau R, Chitre AS, Scherl A, Wu TD, Patil NS, de Almeida P, et al. Intratumoral CD103+ CD8+ T cells predict response to PD-L1 blockade. J Immunother Cancer. 2021; 9(4): e002231. CrossRef Google scholar

[9]

Edwards J, Wilmott JS, Madore J, Gide TN, Quek C, Tasker A, et al. CD103(+) Tumor-Resident CD8(+) T Cells Are Associated with Improved Survival in Immunotherapy-Naïve Melanoma Patients and Expand Significantly During Anti-PD-1 Treatment. Clin Cancer Res. 2018; 24(13): 3036-45.

CrossRef Google scholar