Dataset Information

Immune recurrence score using 7 immunoregulatory protein expressions can predict recurrence in stage I-III breast cancer patients.

ABSTRACT:

Background

Immune cells in the tumour microenvironment play an essential role in tumorigenesis. This study aimed to evaluate the immunoregulatory protein expression of breast cancer and reveal their prognostic role.

Methods

Expression of 10 immune markers (PD-1/PD-L1/PD-L2/IDO/TIM-3/OX40/OX40L/B7-H2/ B7-H3/B7-H4) with known/possible clinical relevance was identified in stromal tumour-infiltrating lymphocytes or tumour tissue of stage I-III breast cancer patients.

Results

A total of 392 patients, including 271(69.1%) luminal A, 36(9.2%) luminal B, 32(8.2%) HER2-positive and 53(13.5%) triple negative disease, were included. Expression of PD-1 and PD-L1 was higher in HER2-positive and triple negative disease. By contrast, expression of TIM-3, OX40 and OX40L were higher in luminal disease. We devised an immune recurrence score (IRS) using seven markers with prognostic value (B7-H2/B7-H3/B7-H4/OX40/OX40L/PD-L1/PD-L2). Patients were classified as high-risk (7.9%), intermediate-risk (67.6%), or low-risk (24.5%). In the multivariate analysis, IRS low-risk (adjusted HR 0.14, p = 0.001) and intermediate-risk (adjusted HR 0.32, p = 0.002) had significantly lower risk of recurrence compared with high-risk. The prognostic role of IRS was maintained in both luminal A and non-luminal A patients.

Conclusions

This study identified immunoregulatory protein expression of breast cancer patients using 10 immune markers. In addition, we devised an IRS which may predict recurrence in stage I-III breast cancer patients.

SUBMITTER: Lee DW

PROVIDER: S-EPMC6738097 | biostudies-literature | 2019 Jul

REPOSITORIES: biostudies-literature

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Publications

Immune recurrence score using 7 immunoregulatory protein expressions can predict recurrence in stage I-III breast cancer patients.

Lee Dae-Won DW Ryu Han Suk HS Jin Min-Sun MS Lee Kyung-Hun KH Suh Koung Jin KJ Youk Jeonghwan J Kim Jung Youn JY Min Ahrum A Lee Han-Byoel HB Moon Hyeong-Gon HG Kim Tae-Yong TY Han Sae-Won SW Oh Do-Youn DY Han Wonshik W Park In Ae IA Noh Dong-Young DY Im Seock-Ah SA

British journal of cancer 20190711 3

<h4>Background</h4>Immune cells in the tumour microenvironment play an essential role in tumorigenesis. This study aimed to evaluate the immunoregulatory protein expression of breast cancer and reveal their prognostic role.<h4>Methods</h4>Expression of 10 immune markers (PD-1/PD-L1/PD-L2/IDO/TIM-3/OX40/OX40L/B7-H2/ B7-H3/B7-H4) with known/possible clinical relevance was identified in stromal tumour-infiltrating lymphocytes or tumour tissue of stage I-III breast cancer patients.<h4>Results</h4>A ...[more]

PMID: 31292534

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Project description:For small cell lung cancer (SCLC) therapy, immunotherapy might have unique advantages to some extent. Galectin-9 (Gal-9) plays an important role in antitumor immunity, while little is known of its function in SCLC. By mean of immunohistochemistry (IHC), we tested the expression level of Gal-9 and other immune markers on both tumor cells and tumor-infiltrating lymphocytes (TILs) in 102 surgical-resected early stage SCLC clinical samples. On the basis of statistical analysis and machine learning results, the Gal-9-based immune risk score model was constructed and its predictive performance was evaluated. Then, we thoroughly explored the effects of Gal-9 and immune risk score on SCLC immune microenvironment and immune infiltration in different cohorts and platforms. In the SCLC cohort for IHC, the expression level of Gal-9 on TILs was statistically correlated with the levels of program death-1 (p=0.001), program death-ligand 1 (PD-L1) (p<0.001), CD3 (p<0.001), CD4 (p<0.001), CD8 (p<0.001), and FOXP3 (p=0.047). High Gal-9 protein expression on TILs indicated better recurrence-free survival (30.4 months, 95% CI: 23.7-37.1 vs 39.4 months, 95% CI: 31.6-47.3, p=0.009). The immune risk score model which consisted of Gal-9 on TILs, CD4, and PD-L1 on TILs was established and validated so as to differentiate high-risk or low-risk patients with SCLC. The prognostic predictive performance of immune risk score model was better than single immune biomarker (area under the curve 0.671 vs 0.621-0.644). High Gal-9-related enrichment pathways in SCLC were enriched in immune system diseases and rheumatic disease. Furthermore, we found that patients with SCLC with low immune risk score presented higher fractions of activated memory CD4 T cells than patients with high immune risk score (p=0.048). Gal-9 is markedly related to tumor-immune microenvironment and immune infiltration in SCLC. This study emphasized the predictive value and promising clinical applications of Gal-9 in stage I-III SCLC.

Dataset Information

Immune recurrence score using 7 immunoregulatory protein expressions can predict recurrence in stage I-III breast cancer patients.

Background

Methods

Results

Conclusions

Publications

Immune recurrence score using 7 immunoregulatory protein expressions can predict recurrence in stage I-III breast cancer patients.

Similar Datasets

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