Literature DB >> 26100671

Tumor-Specific Effector CD8+ T Cells That Can Establish Immunological Memory in Humans after Adoptive Transfer Are Marked by Expression of IL7 Receptor and c-myc.

Smita S Chandran1, Biman C Paria1, Abhishek K Srivastava1, Luke D Rothermel1, Daniel J Stephens1, Udai S Kammula2.   

Abstract

The optimal T-cell attributes for adoptive cancer immunotherapy are unclear. Recent clinical trials of ex vivo-expanded tumor-infiltrating lymphocytes indicated that differentiated T effector cells can elicit durable antitumor responses in some patients with cancer, with their antitumor activity tightly correlated with their persistence in the host. Thus, there is great interest in the definition of intrinsic biomarkers that can predict the conversion of short-lived tumor antigen-specific T effector cells into long-lived T memory cells. Long-term persistence of ex vivo-expanded tumor-specific CD8+ T effector clones has been reported in refractory metastatic melanoma patients after adoptive T-cell transfer. By using highly homogeneous clone populations from these preparations, we performed a comparative transcriptional profiling to define preinfusion molecular attributes that can be ascribed to an effector-to-memory transition. Through this route, we discovered that preinfusion T-cell clones that expressed the IL7 receptor (IL7R) and c-myc were more likely to persist longer after adoptive transfer to patients. The predictive value of these two biomarkers was strengthened by using IL7R protein, IL7-induced pSTAT5, and c-myc mRNA expression to prospectively identify human tumor-specific T effector clones capable of engraftment into immunodeficient mice. Overall, our findings reveal IL7R and c-myc expression as intrinsic biomarkers that can predict the fate of CD8+ T effector cells after adoptive transfer. ©2015 American Association for Cancer Research.

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Year:  2015        PMID: 26100671      PMCID: PMC4537826          DOI: 10.1158/0008-5472.CAN-15-0584

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   12.701


  41 in total

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