4.5 Article

Tumor-infiltrating M2 macrophage in pretreatment biopsy sample predicts response to chemotherapy and survival in esophageal cancer

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CANCER SCIENCE
卷 111, 期 4, 页码 1103-1112

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WILEY
DOI: 10.1111/cas.14328

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biopsy; esophageal cancer; M2 macrophage; multiplex immunohistochemistry; neoadjuvant chemotherapy

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The association between the tumor microenvironment (TME) and treatment response or survival has been a recent focus in several types of cancer. However, most study materials are resected specimens that were completely modified by prior chemotherapy; therefore, the unmodified host immune condition has not yet been clarified. The aim of the present study was to evaluate the relationship between TME assessed in pre-therapeutic biopsy samples and chemoresistance in esophageal cancer (EC). A total of 86 endoscopic biopsy samples from EC patients who received neoadjuvant chemotherapy (NAC) prior to surgery were evaluated for the number of intratumoral CD4(+) lymphocytes (with/without Foxp3 expression), CD8(+) lymphocytes (with/without PD-1 expression), monocytes (CD14(+)) and macrophages (CD86(+), CD163(+) and CD206(+)) by multiplex immunohistochemistry (IHC). The number of tumor-infiltrating CD206(+) macrophages I significantly correlated with cT, cM, cStage and neutrophil/lymphocyte ratio (NLR), whereas the number of lymphocytes (including expression of Foxp3 and PD-1) was not associated with clinico-pathological features. The high infiltration of CD163(+) or CD206(+) macrophages was significantly associated with poor pathological response to NAC (P = 0.0057 and 0.0196, respectively). Expression of arginase-1 in CD163(+) macrophages tended to be higher in non-responders (29.4% vs 18.2%, P = 0.17). In addition, patients with high infiltration of M2 macrophages exhibited unfavorable overall survival compared to those without high infiltration of M2 macrophages (5-year overall survival 57.2% vs 71.0%, P = 0.0498). Thus, a comprehensive analysis of TME using multiplex IHC revealed that M2 macrophage infiltration would be useful in predicting the response to NAC and long-term survival in EC patients.

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