Highlights d We build the genomic and transcriptomic landscape of 465 primary TNBCs d Chinese TNBC cases demonstrate more PIK3CA mutations and LAR subtype d Transcriptomic data classify TNBCs into four subtypes d Multi-omics profiling identifies potential targets within specific TNBC subtypes
Purpose: The tumor microenvironment has a profound impact on prognosis and immunotherapy. However, the landscape of the triple-negative breast cancer (TNBC) microenvironment has not been fully understood. Experimental Design: Using the largest original multiomics dataset of TNBC (n ¼ 386), we conducted an extensive immunogenomic analysis to explore the heterogeneity and prognostic significance of the TNBC microenvironment. We further analyzed the potential immune escape mechanisms of TNBC. Results: The TNBC microenvironment phenotypes were classified into three heterogeneous clusters: cluster 1, the "immune-desert" cluster, with low microenvironment cell infiltration; cluster 2, the "innate immune-inactivated" cluster, with resting innate immune cells and nonimmune stromal cells infiltration; and cluster 3, the "immuneinflamed" cluster, with abundant adaptive and innate immune cells infiltration. The clustering result was validated internally with pathologic sections and externally with The Cancer Genome Atlas and METABRIC cohorts. The microenvironment clusters had significant prognostic efficacy. In terms of potential immune escape mechanisms, cluster 1 was characterized by an incapability to attract immune cells, and MYC amplification was correlated with low immune infiltration. In cluster 2, chemotaxis but inactivation of innate immunity and low tumor antigen burden might contribute to immune escape, and mutations in the PI3K-AKT pathway might be correlated with this effect. Cluster 3 featured high expression of immune checkpoint molecules. Conclusions: Our study represents a step toward personalized immunotherapy for patients with TNBC. Immune checkpoint inhibitors might be effective for "immuneinflamed" cluster, and the transformation of "cold tumors" into "hot tumors" should be considered for "immune-desert" and "innate immune-inactivated" clusters.
Apoptotic cells are rapidly engulfed by adjacent tissue cells or macrophages before they can release pro-inflammatory/proimmunogenic intracellular contents. In addition, recognition of the apoptotic cells is actively anti-inflammatory and anti-immunogenic with generation of anti-inflammatory mediators such as transforming growth factor- (TGF-) and anti-inflammatory eicosanoids. Here, we have investigated the role played by the induction of TGF- in the coordinate expression of antiinflammatory eicosanoids or peroxisome proliferator-activated receptor-␥ and in the suppression of pro-inflammatory lipid mediators and nitric oxide (NO). By use of a dominant negative TGFII receptor, TGF- signaling was blocked, and its participation in the consequences of apoptotic cell stimulation was determined. The induction of TGF- itself could be attributed to exposed phosphatidylserine on the apoptotic cells, which therefore appears to drive the balanced inflammatory mediator responses. Arachidonic acid release, COX-2, and prostaglandin synthase expression were shown to be significantly dependent on the TGF- production. On the other hand, a requirement for TGF- was also shown in the inhibition of thromboxane synthase and thromboxanes, of 5-lipoxygenase and sulfidopeptide leukotrienes, as well as of inducible nitric-oxide synthase and NO. TGF--dependent induction of arginase was also found and would further limit the NO generation. Finally, apoptotic cells stimulated production of 15-lipoxygenase and 15-hydroxyeicosatetraenoic acid, a potentially anti-inflammatory pathway acting through peroxisome proliferator-activated receptor-␥, and lipoxin A 4 production, which were also up-regulated by a TGF--dependent pathway in this system. These results strongly suggest that the apoptotic cell inhibition of proinflammatory mediator production is pleiotropic and significantly dependent on the stimulation of TGF- production.
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