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[The prognostic analysis of hepatocellular carcinoma based on the tumor neo-vessels, macrophages and α-SMA in tumor microenvironment].
Fang, M; Yuan, J P; Liu, L L; Cheng, G P; Ying, H J; Chen, Y M; Chen, M.
Afiliación
  • Fang M; Department of Radiation Oncology, Zhejiang Cancer Hospital, Zhejiang Key Laboratory of Radiation Oncology, Hangzhou 310022, China.
  • Yuan JP; Department of Pathology, Renmin Hospital of Wuhan University, Wuhan 430060, China.
  • Liu LL; The Second Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou 310053, China.
  • Cheng GP; Department of Pathology, Zhejiang Cancer Hospital, Hangzhou 310022, China.
  • Ying HJ; Department of Radiation Oncology, Zhejiang Cancer Hospital, Zhejiang Key Laboratory of Radiation Oncology, Hangzhou 310022, China.
  • Chen YM; Department of Radiation Oncology, Zhejiang Cancer Hospital, Zhejiang Key Laboratory of Radiation Oncology, Hangzhou 310022, China.
  • Chen M; Department of Radiation Oncology, Zhejiang Cancer Hospital, Zhejiang Key Laboratory of Radiation Oncology, Hangzhou 310022, China.
Zhonghua Zhong Liu Za Zhi ; 39(7): 518-523, 2017 Jul 23.
Article en Zh | MEDLINE | ID: mdl-28728298
Objective: To analyze the quantitative expression and prognostic significance of tumor neo-vessels, macrophages and fibroblasts in tumor microenvironment of hepatocellular carcinoma (HCC). Methods: The clinic-pathological features and tissue samples for 101 HCC cases were collected. Immunohistochemistry was used to stain the tumor neo-vessels, macrophages and fibroblasts on tumor tissue. The distribution results and quantitative data of above key components were acquired by inverted microscopy equipped with CRi Nuance multispectral analysis system. The number of tumor neo-vessels and macrophages on HCC tissue were counted and the thickness of cancer stroma based on the expression of fibroblasts was measured. The clinic-pathological characteristics and overall survival were analyzed. Results: The median disease free survival (DFS) of 101 HCC cases was 5 month. The quantitative analysis of tumor neo-vessels, macrophages and fibroblasts showed that the expression range was 51-429 with median 218, 110-555 with median 259, 35.61-555.35 with median 246.98, respectively. To take the median as cutoff, all the cases could be classified into high and low expression group. The survival analysis demonstrated that the high density group of macrophages (P=0.022) and fibroblasts (P<0.001) has shorter DFS than low density group, with statistical significance. The high tumor neo-vessels group has shorter DFS with median 5 month than low density group with median 7 month. However, there was no statistical significance between these two group (P=0.197). Combined with above the three stromal components, all the cases could be classified into low, middle and high group. The survival analysis demonstrated that the high density group of stromal components has shorter DFS than the other two groups with median 3 month (P=0.001). Multivariate analysis by Cox regression indicated that cirrhosis, metastasis status, macrophages and fibroblasts density were the independent prognostic factors. Conclusion: The key elements in tumor microenvironment including tumor neo-vessels, macrophages and fibroblasts were heterogenic in HCC tissues and played significant roles in HCC invasion and metastasis.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Actinas / Carcinoma Hepatocelular / Microambiente Tumoral / Neoplasias Hepáticas / Macrófagos Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Límite: Adult / Humans / Male Idioma: Zh Revista: Zhonghua Zhong Liu Za Zhi Año: 2017 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Actinas / Carcinoma Hepatocelular / Microambiente Tumoral / Neoplasias Hepáticas / Macrófagos Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Límite: Adult / Humans / Male Idioma: Zh Revista: Zhonghua Zhong Liu Za Zhi Año: 2017 Tipo del documento: Article País de afiliación: China