The prognostic impact of tumor-associated macrophages and intra-tumoral apoptosis in non-small cell lung cancer

被引:1
|
作者
Becker, Matheus [1 ,2 ]
Mueller, Carolina Beatriz [1 ,2 ]
De Bastiani, Marco Antonio [1 ,2 ]
Klamt, Fabio [1 ,2 ]
机构
[1] ICBS UFRGS, Dept Biochem, BR-90035003 Porto Alegre, RS, Brazil
[2] Natl Inst Sci & Technol Translat Med INCT TM, Porto Alegre, RS, Brazil
关键词
Tumor-associated macrophages; Non-small cell lung cancer; Apoptotic Index; Clinical outcome; Prognosis; ALTERNATIVE ACTIVATION; PATIENT SURVIVAL; UP-REGULATION; INFILTRATION; PROGRESSION; EXPRESSION; INDEX; ANGIOGENESIS; POLARIZATION; PHENOTYPE;
D O I
暂无
中图分类号
Q2 [细胞生物学];
学科分类号
071009 ; 090102 ;
摘要
Lung cancer is the leading cause of cancer-related deaths worldwide. Non-small cell lung cancer (NSCLC) accounts for 80% of all lung malignancies. Tumor-associated macrophages (TAM) are abundant components of NSCLC. Although under certain conditions TAM can kill tumor cells, they can also act as tumor promoters secreting a variety of factors that directly stimulate tumor invasion and metastasis. TAM presents two distinct phenotypes: the classically activated (or M1) phenotype, which is highly pro-inflammatory (phagocytic and cytotoxic), and the alternatively activated (or M2) phenotype, which has anti-inflammatory and pro-tumoral properties. The polarization status of TAM depends on stimulating factors from the tumor microenvironment, and some in vitro evidence implies that the phagocytosis of apoptotic bodies derived from tumoral cells is a key factor in M1/M2 modulation, raising the question of whether the evaluation of the apoptotic index (AI) and macrophage polarization have a prognostic role in NSCLC patient survival. The present article systematically reviewed the published series of clinical data that correlated the AI and/or macrophage densities and polarization status (M1/M2) with the outcome of non-small cell lung cancer patients. Even though an overwhelming body of clinical data support that TAM's density, micro-anatomical localization, phenotype and intra-tumoral AI are independent predictors of survival time, no study to date has been conducted to evaluate the impact of these parameters altogether in NSCLC patient outcome. Joint analysis of these biologic factors in future studies might reveal their prognostic value in the management of NSCLC cases.
引用
收藏
页码:21 / 31
页数:11
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