Development and validation of a stromal immune phenotype classifier for predicting immune activity and prognosis in triple‐negative breast cancer. Issue 2 (30th April 2020)
- Record Type:
- Journal Article
- Title:
- Development and validation of a stromal immune phenotype classifier for predicting immune activity and prognosis in triple‐negative breast cancer. Issue 2 (30th April 2020)
- Main Title:
- Development and validation of a stromal immune phenotype classifier for predicting immune activity and prognosis in triple‐negative breast cancer
- Authors:
- Zheng, Shaoquan
Zou, Yutian
Xie, Xinhua
Liang, Jie‐ying
Yang, Anli
Yu, Kai
Wang, Jian
Tang, Hailin
Xie, Xiaoming - Abstract:
- Abstract: Our study aims to construct a prognosis‐related immune phenotype classifier for predicting clinical prognosis and immune activity in triple‐negative breast cancer (TNBC). A total of 237 patients with TNBC from Sun Yat‐sen University Cancer Center (SYSUCC) and 533 patients with TNBC from public datasets were included in our study. A stromal immune quantified index was generated with a LASSO Cox regression model based on five prognosis‐related immune cells evaluated by CIBERSORT or IHC and was used to determine immune phenotypes. Immune features were evaluated in the samples before chemotherapy. A total of 119 patients in the SYSUCC training cohort were classified into immune Phenotypes A and B according to the density of stromal CD4+ T cells, γδ T cells, monocytes, M1 macrophages and M2 macrophages. Phenotype A predicted better survival than Phenotype B, and the classification was further validated in the testing cohort of 118 patients and the validation cohort of 533 patients. In the combined cohort, significant differences were found in Phenotype A compared to Phenotype B for the 5‐year overall survival (83.5% vs 65.8%, respectively, P < .01) and the 5‐year disease‐free survival (87.3% vs 76.0%, respectively, P < .01). In Phenotype A, immune‐related pathways were significantly enriched, and a higher level of immune checkpoint molecules, including PD‐L1, PD‐1 and CTLA‐4, could be observed. The immune phenotype classification was an independent prognosticAbstract: Our study aims to construct a prognosis‐related immune phenotype classifier for predicting clinical prognosis and immune activity in triple‐negative breast cancer (TNBC). A total of 237 patients with TNBC from Sun Yat‐sen University Cancer Center (SYSUCC) and 533 patients with TNBC from public datasets were included in our study. A stromal immune quantified index was generated with a LASSO Cox regression model based on five prognosis‐related immune cells evaluated by CIBERSORT or IHC and was used to determine immune phenotypes. Immune features were evaluated in the samples before chemotherapy. A total of 119 patients in the SYSUCC training cohort were classified into immune Phenotypes A and B according to the density of stromal CD4+ T cells, γδ T cells, monocytes, M1 macrophages and M2 macrophages. Phenotype A predicted better survival than Phenotype B, and the classification was further validated in the testing cohort of 118 patients and the validation cohort of 533 patients. In the combined cohort, significant differences were found in Phenotype A compared to Phenotype B for the 5‐year overall survival (83.5% vs 65.8%, respectively, P < .01) and the 5‐year disease‐free survival (87.3% vs 76.0%, respectively, P < .01). In Phenotype A, immune‐related pathways were significantly enriched, and a higher level of immune checkpoint molecules, including PD‐L1, PD‐1 and CTLA‐4, could be observed. The immune phenotype classification was an independent prognostic indicator for TNBC and might serve as a potential predictor for immune activity within the tumor microenvironment. Abstract : What's new? Stromal infiltrating immune cells play a crucial role in tumor proliferation, invasion, and metastasis. However, few studies have investigated the prognostic potential of an overall stromal immune‐cell signature in triple‐negative breast cancer (TNBC). Here, the authors developed an immune index that classified patients into two immune phenotypes with different prognoses. Among the stromal infiltrating immune cells in TNBC, CD4+ T cells, γδ T cells, and M1 macrophages predicted a better prognosis, while monocytes and M2 were worse indicators. The classification was an independent prognostic indicator for TNBC and might serve as a potential predictor for the tumor microenvironment immune activity. … (more)
- Is Part Of:
- International journal of cancer. Volume 147:Issue 2(2020)
- Journal:
- International journal of cancer
- Issue:
- Volume 147:Issue 2(2020)
- Issue Display:
- Volume 147, Issue 2 (2020)
- Year:
- 2020
- Volume:
- 147
- Issue:
- 2
- Issue Sort Value:
- 2020-0147-0002-0000
- Page Start:
- 542
- Page End:
- 553
- Publication Date:
- 2020-04-30
- Subjects:
- classifier -- immune phenotype -- prognosis -- stromal immune score -- triple‐negative breast cancer
Cancer -- Periodicals
Cancer -- Prevention -- Periodicals
616.994 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1097-0215 ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1002/ijc.33009 ↗
- Languages:
- English
- ISSNs:
- 0020-7136
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4542.156000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 13160.xml