Breast cancer progression and metastasis are driven by complex and reciprocal interactions, between epithelial cancer cells and their surrounding stromal microenvironment. We have previously shown that a loss of stromal Cav-1 expression is associated with an increased risk of early tumor recurrence, metastasis and decreased overall survival. To identify and characterize the signaling pathways that are activated in Cav-1 negative tumor stroma, we performed gene expression profiling using laser microdissected breast cancer-associated stroma. Tumor stroma was laser capture microdissected from 4 cases showing high stromal Cav-1 expression and 7 cases with loss of stromal Cav-1. Briefly, we identified 238 gene transcripts that were upregulated and 232 gene transcripts that were downregulated in the stroma of tumors showing a loss of Cav-1 expression (p ≤ 0.01 and fold-change ≥ 1.5). Gene set enrichment analysis (GSEA) revealed "stemness," inflammation, DNA damage, aging, oxidative stress, hypoxia, autophagy and mitochondrial dysfunction in the tumor stroma of patients lacking stromal Cav-1. Our findings are consistent with the recently proposed "Reverse Warburg Effect" and the "Autophagic Tumor Stroma Model of Cancer Metabolism." In these two complementary models, cancer cells induce oxidative stress in adjacent stromal cells, which then forces these stromal fibroblasts to undergo autophagy/mitophagy and aerobic glycolysis. This, in turn, produces recycled nutrients (lactate, ketones and glutamine) to feed anabolic cancer cells, which are undergoing oxidative mitochondrial metabolism. Our results are also consistent with previous biomarker studies showing that the increased expression of known autophagy markers (such as ATG16L and the cathepsins) in the tumor stroma is specifically associated with metastatic tumor progression and/or poor clinical outcome.
BackgroundChronic myeloid leukemia (CML) comprises ~3 % of pediatric leukemia. Although therapy with tyrosine kinase inhibitors (TKIs) is highly effective for CML, multiple factors have been identified as predictive of treatment failure. Chromosomal abnormalities involving the MECOM locus at 3q26 portend therapy resistant disease in adults, yet have never been described in pediatric patients and have not been associated with T lymphoblastic progression.Case presentationWe present a case of an 11-year-old boy with CML possessing the unique combination of T lymphoblastic transformation and a subclone harboring inv(3)(q21q26.2) at diagnosis. This is the first reported case of pediatric CML with inv(3)(q21q26.2) and the first case of T lymphoblastic progression associated with this karyotype. The patient was treated with single agent TKI therapy with robust initial response. Marrow histology at one month showed restoration of trilineage hematopoiesis and BCR-ABL RT-PCR at three months showed a 1.4 log reduction in transcript levels.ConclusionsThe karyotypic abnormality of inv(3)(q21q26.2) in CML is not restricted to adult patients. Moreover, while chromosome 3 abnormalities are markers of TKI resistance in adults, our patient showed a robust early response to single agent TKI therapy. This finding suggests pediatric CML with inv(3)(q21q26.2) may have distinct features and more favorable treatment responses than those described in adults.
Breast cancer growth and progression are governed by complex and reciprocal interactions between tumor cells and surrounding stromal elements. We have previously shown that a loss of stromal Cav-1 expression is associated with an increased risk of early tumor recurrence, metastasis and decreased overall survival. To identify and characterize the signaling pathways activated in Cav-1 negative tumor stroma, we performed gene expression profiling using laser micro-dissected breast cancer associated stroma. Methods: Tumor stroma was laser capture micro-dissected using a Leica LCM system from 4 cases showing high stromal Cav-1 expression and 7 cases with loss of stromal Cav-1. Total RNA was amplified using the NuGEN™ WT-Ovation™ FFPE RNA Amplification System V2 and cDNA was hybridized to Affymetrix GeneChip® arrays. One-way ANOVA was setup to extract differentially expressed genes between Cav-1 positive and negative stromal samples. Results: We identified 238 genes that were up-regulated and 232 genes that were down-regulated in the stroma of tumors showing a loss of Cav-1 expression (p-value < = 0.01 and fold change > = 1.5) Gene set enrichment analysis revealed “stemness”, inflammation, DNA damage, oxidative stress, hypoxia, autophagy, and mitochondrial dysfunction in the tumor stroma of patients lacking stromal Cav-1. Conclusions: Our findings are consistent with the recently proposed “Autophagic Tumor Stroma Model of Cancer Metabolism”. In this model, cancer cells induce oxidative stress in adjacent stromal cells, which then forces these stromal cells to undergo autophagy. This, in turn, produces recycled nutrients to feed “hungry” cancer cells. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 102nd Annual Meeting of the American Association for Cancer Research; 2011 Apr 2-6; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2011;71(8 Suppl):Abstract nr 1510. doi:10.1158/1538-7445.AM2011-1510
e19016 Background: As clinical and histological parameters are unable to precisely predict the behavior of skin melanoma, new criteria are required to improve risk assessment. Caveolin 1 (CAV1), a scaffolding membrane protein, has been implicated in cell proliferation, death and transformation. In melanoma cell lines, CAV1 was found to have an antimetastatic role and loss of stromal CAV1 expression in lymph nodes metastases was associated with poor survival. The objectives of this analysis were to correlate CAV1 expression in primary skin melanoma cells with tumor thickness and disease free survival (DFS). Methods: CAV1 immunostaining was performed on the primary skin melanomas of 40 patients. CAV1 expression was scored semi-quantitatively using a 3-point scale: 0 (no staining), 1 (diffuse weak staining or strong staining in less then 30% of the cells) and 2 (strong staining of 30% or more of the cells). For analysis purposes, CAV1 was dichotomized as present (score 1 or 2) or absent (score 0). Primary melanoma was classified based on 2009 AJCC T-stage. DFS was measured from removal of primary skin melanoma to development of loco-regional or systemic recurrence. Pearson Chi-Square, Kaplan Meier, and Cox-Proportional Hazard Ratio were used for data analyses. Results: T-stage distribution was: Cis 12.5%, T1 32.5%, T2 22.5%, T3 17.5%, T4 15.0%. There was a clear inverse relationship between T stage and Cav 1 expression in tumor cells, with higher CAV1 expression in less invasive melanomas (P= 0.01). Fifteen patients experienced either locoregional or distant recurrence (median time to recurrence 14 months; range <1 month -105 months). Twenty-five patients remained disease free for minimum of 3 years (median 77 months; range 36 – 111 months). Presence of CAV1 in primary melanoma tumor cells was correlated with increased DFS (P = 0.05) but this association was not significant when adjusting for T stage (P=0.59). Conclusions: CAV1 expression in melanoma tumor cells correlates with clinical behavior of skin melanoma as its loss is associated with invasiveness and distant recurrence. Whether the loss of CAV1 in primary melanoma tumor cells is just an epiphenomenon or a causal event is to be decided by further work on a larger population sample.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.