The Inflammatory CXC Chemokines, GROα^high, IP-10^low, and MIG^low, in Tumor Microenvironment Can Be Used as New Indicators for Non-small Cell Lung Cancer Progression

ABSTRACT

Aims: To investigate the clinical significance of tumor tissue-infiltrating chemokines expression in non-small cell lung cancer (NSCLC) microenvironment.

Materials and methods: Fresh tissue samples were acquired from 50 patients with NSCLC after operation. Then, we quantified the total protein with the BCA Protein Assay Kit and tested 13 chemotactic factors in paired samples including tumor tissues, tumor adjacent tissues, and normal tissues with the CBA Kit.

Results: We found that the chemokine CC subfamily of MCP-1, MIP-1α, MIP-1β, and MIP-3α and the chemokine CXC subfamily of IL-8, GROα, IP-10, and MIG expressions in tumor tissues were significantly higher than those in tumor-adjacent tissues and normal tissues. However, regulated upon activation normal T cell expressed and secreted (RANTES), human thymus activation regulated chemokine (TARC), chemokine (C-C motif) ligand 11 (CCL11), interferon-inducible T cell alpha chemoattractant (I-TAC), and ENA-78 expressions did not show significant difference. Analyzing the influence of chemokine expression level in tumor tissues on disease progression, we found the median progression-free survival (mPFS) of patients with GROα^high was significantly lower than those with GROα^low; mPFS of patients with IP-10^low was significantly lower than those with IP-10^high; and mPFS of patients with MIG^low was significantly lower than those with MIG^high. However, MCP-1, MIP-1α, MIP-1β, MIP-3α, and IL-8 had no significant value to elevate the mPFS of patients with NSCLC.

Conclusion: In summary, tumor tissue-infiltrating CXC chemokines, GROα^high, IP-10^low, and MIG^low in the tumor microenvironment can be used as potential indicators for the progression of NSCLC.

KEYWORDS:

• Chemokines
• NSCLC
• PFS
• progression
• tumor microenvironment

Declaration of interest

The authors declare that they have no conflicts of interest.

Funding

This work was supported by the National Natural Science Foundation of China (Grants 81372276 to G.Z., 31300746 to H.H.), Natural Science Foundation of Jiangsu (Grant BK20131158 to G.Z.), and Natural Science Foundation of Suzhou (Grant SYS201323 to H.H.).

Additional information

Funding

This work was supported by the National Natural Science Foundation of China (Grants 81372276 to G.Z., 31300746 to H.H.), Natural Science Foundation of Jiangsu (Grant BK20131158 to G.Z.), and Natural Science Foundation of Suzhou (Grant SYS201323 to H.H.).