PET/CT radiomics in breast cancer: promising tool for prediction of pathological response to neoadjuvant chemotherapy

Antunovic, Lidija; Sanctis, Rita De; Cozzi, Luca; Kirienko, Margarita; Sagona, Andrea; Torrisi, Rosalba; Tinterri, Corrado; Santoro, Armando; Chiti, Arturo; Zelić, Renata; Sollini, Martina

doi:10.1007/s00259-019-04313-8

Cited by 112 publications

(85 citation statements)

References 37 publications

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“…In our study, Her2-enriched and basal subtypes had higher glycolysis activity and higher immune inflammation cells infiltration in our study, which was consistent with its higher proliferative ability and higher malignant potential [2]. Thus, FDG-PET as the noninvasive detection method of tumor glycolysis may have the potential value to identify molecular subtypes of breast cancer and predict response rate to neoadjuvant chemotherapy since TIL is already known as a good predictor of response to neoadjuvant chemotherapy [60][61][62].…”

Section: Discussionsupporting

confidence: 85%

Comprehensive analysis of the association between tumor glycolysis and immune/inflammation function in breast cancer

Liu

et al. 2020

J Transl Med

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Background: Metabolic reprogramming, immune evasion and tumor-promoting inflammation are three hallmarks of cancer that provide new perspectives for understanding the biology of cancer. We aimed to figure out the relationship of tumor glycolysis and immune/inflammation function in the context of breast cancer, which is significant for deeper understanding of the biology, treatment and prognosis of breast cancer. Methods: Using mRNA transcriptome data, tumor-infiltrating lymphocytes (TILs) maps based on digitized H&Estained images and clinical information of breast cancer from The Cancer Genome Atlas projects (TCGA), we explored the expression and prognostic implications of glycolysis-related genes, as well as the enrichment scores and dual role of different immune/inflammation cells in the tumor microenvironment. The relationship between glycolysis activity and immune/inflammation function was studied by using the differential genes expression analysis, gene ontology (GO) analysis, Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis, gene set enrichment analyses (GSEA) and correlation analysis. Results: Most glycolysis-related genes had higher expression in breast cancer compared to normal tissue. Higher phosphoglycerate kinase 1 (PGK1) expression was associated with poor prognosis. High glycolysis group had upregulated immune/inflammation-related genes expression, upregulated immune/inflammation pathways especially IL-17 signaling pathway, higher enrichment of multiple immune/inflammation cells such as Th2 cells and macrophages. However, high glycolysis group was associated with lower infiltration of tumor-killing immune cells such as NKT cells and higher immune checkpoints expression such as PD-L1, CTLA4, FOXP3 and IDO1. Conclusions: In conclusion, the enhanced glycolysis activity of breast cancer was associated with pro-tumor immunity. The interaction between tumor glycolysis and immune/inflammation function may be mediated through IL-17 signaling pathway.

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Section: Discussionsupporting

confidence: 85%

Comprehensive analysis of the association between tumor glycolysis and immune/inflammation function in breast cancer

Liu

et al. 2020

J Transl Med

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“…Since such research has just begun, separate and gradually deepening study may be a suitable method. Although radiomics is a promising tool for high-tech hybrid imaging technology such as PET/CT and PET/MR (39)(40)(41), but many factors such as attenuation correction techniques, different uptake times and voxel size may influence the radiomic features (42,43), which makes the application value obscure. We need to be cautious about the results of the present study, and continue to increase the sample size and research centers to further investigate the exact value of texture features and radiomics in PET/MR.…”

Section: Discussionmentioning

confidence: 99%

Performance of Multiparametric Functional Imaging and Texture Analysis in Predicting Synchronous Metastatic Disease in Pancreatic Ductal Adenocarcinoma Patients by Hybrid PET/MR: Initial Experience

et al. 2020

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“…However, BPE is influenced by endogenous and exogenous hormone levels, so its application in breast cancers may be somehow limited. 115 Therefore, researches tried to find that PET/CT imaging features might be potential predictors of pCR rate of NAC in locally advanced breast cancer patients, 116 but the cost and inconvenience hindered its way to be used broadly. Simultaneously, an increasing number of scientists are endeavoring to find the breaking points in cancerous treatments by investigating the tumor microenvironments, such as surrounding immune cells, adipocytes, secreted small molecules and so on.…”

Section: Discussionmentioning

confidence: 99%

<p>Predictors of Neoadjuvant Chemotherapy Response in Breast Cancer: A Review</p>

Xu¹,

Chen²,

Deng³

et al. 2020

OTT

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Neoadjuvant chemotherapy (NAC) largely increases operative chances and improves prognosis of the local advanced breast cancer patients. However, no specific means have been invented to predict the therapy responses of patients receiving NAC. Therefore, we focus on the alterations of tumor tissue-related microenvironments such as stromal tumor-infiltrating lymphocytes status, cyclin-dependent kinase expression, noncoding RNA transcription or other small molecular changes, in order to detect potentially predicted biomarkers which reflect the therapeutic efficacy of NAC in different subtypes of breast cancer. Further, possible mechanisms are also discussed to discover feasible treatment targets. Thus, these findings will be helpful to promote the prognosis of breast cancer patients who received NAC and summarized in this review.

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PET/CT radiomics in breast cancer: promising tool for prediction of pathological response to neoadjuvant chemotherapy

Cited by 112 publications

References 37 publications

Comprehensive analysis of the association between tumor glycolysis and immune/inflammation function in breast cancer

Comprehensive analysis of the association between tumor glycolysis and immune/inflammation function in breast cancer

Performance of Multiparametric Functional Imaging and Texture Analysis in Predicting Synchronous Metastatic Disease in Pancreatic Ductal Adenocarcinoma Patients by Hybrid PET/MR: Initial Experience

<p>Predictors of Neoadjuvant Chemotherapy Response in Breast Cancer: A Review</p>

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