Dataset Information

Radiomics Assessment of the Tumor Immune Microenvironment to Predict Outcomes in Breast Cancer.

ABSTRACT:

Background

The immune microenvironment of tumors provides information on prognosis and prediction. A prior validation of the immunoscore for breast cancer (IS_BC) was made on the basis of a systematic assessment of immune landscapes extrapolated from a large number of neoplastic transcripts. Our goal was to develop a non-invasive radiomics-based IS_BC predictive factor.

Methods

Immunocell fractions of 22 different categories were evaluated using CIBERSORT on the basis of a large, open breast cancer cohort derived from comprehensive information on gene expression. The IS_BC was constructed using the LASSO Cox regression model derived from the Immunocell type scores, with 479 quantified features in the intratumoral and peritumoral regions as observed from DCE-MRI. A radiomics signature [radiomics ImmunoScore (RIS)] was developed for the prediction of IS_BC using a random forest machine-learning algorithm, and we further evaluated its relationship with prognosis.

Results

An IS_BC consisting of seven different immune cells was established through the use of a LASSO model. Multivariate analyses showed that the IS_BC was an independent risk factor in prognosis (HR=2.42, with a 95% CI of 1.49-3.93; P<0.01). A radiomic signature of 21 features of the IS_BC was then exploited and validated (the areas under the curve [AUC] were 0.899 and 0.815). We uncovered statistical associations between the RIS signature with recurrence-free and overall survival rates (both P<0.05).

Conclusions

The RIS is a valuable instrument with which to assess the immunoscore, and offers important implications for the prognosis of breast cancer.

SUBMITTER: Han X

PROVIDER: S-EPMC8761791 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature

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Publications

Radiomics Assessment of the Tumor Immune Microenvironment to Predict Outcomes in Breast Cancer.

Han Xiaorui X Cao Wuteng W Wu Lei L Liang Changhong C

Frontiers in immunology 20220103

<h4>Background</h4>The immune microenvironment of tumors provides information on prognosis and prediction. A prior validation of the immunoscore for breast cancer (IS<sub>BC</sub>) was made on the basis of a systematic assessment of immune landscapes extrapolated from a large number of neoplastic transcripts. Our goal was to develop a non-invasive radiomics-based IS<sub>BC</sub> predictive factor.<h4>Methods</h4>Immunocell fractions of 22 different categories were evaluated using CIBERSORT on th ...[more]

PMID: 35046937

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Dataset Information

Radiomics Assessment of the Tumor Immune Microenvironment to Predict Outcomes in Breast Cancer.

Background

Methods

Results

Conclusions

Publications

Radiomics Assessment of the Tumor Immune Microenvironment to Predict Outcomes in Breast Cancer.

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