ArticleBMC cancer2014
Vascular measurements correlate with estrogen receptor status.
Article in BMC cancer, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.
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Who cites it
32 citing papers in PubMed, 47 citations in OpenAlex.
- Deep learning-driven recognition of panoramic tumor microenvironment features in H&E sections and its application.Journal for immunotherapy of cancer · 2026Review
- Characterization of Breast Cancer Intra-Tumor Heterogeneity Using Artificial Intelligence.Cancers · 2024Article
- Vessel size as a marker of survival in estrogen receptor positive breast cancer.Breast cancer research and treatment · 2023Article
- The possible role of methylglyoxal metabolism in cancer.Journal of enzyme inhibition and medicinal chemistry · 2021Review
- Towards an Integral Therapeutic Protocol for Breast Cancer Based upon the New HInternational journal of molecular sciences · 2020Review
- Intrinsic and Extrinsic Factors Governing the Transcriptional Regulation of ESR1.Hormones & cancer · 2020Review
- Review
- Tumour heterogeneity and the evolutionary trade-offs of cancer.Nature reviews. Cancer · 2020Review
- A New and Integral Approach to the Etiopathogenesis and Treatment of Breast Cancer Based upon Its Hydrogen Ion Dynamics.International journal of molecular sciences · 2020Review
- Tumor Profiling at the Service of Cancer Therapy.Frontiers in oncology · 2020Review
- The Role of Sodium Hydrogen Exchanger 1 in Dysregulation of Proton Dynamics and Reprogramming of Cancer Metabolism as a SequelaInternational journal of molecular sciences · 2019Review
- Causes, consequences, and therapy of tumors acidosis.Cancer metastasis reviews · 2019Review
- Acidosis and cancer: from mechanism to neutralization.Cancer metastasis reviews · 2019Review
- Targeting acidity in cancer and diabetes.Biochimica et biophysica acta. Reviews on cancer · 2019Review
- Role of DCE-MR in predicting breast cancer subtypes.La Radiologia medica · 2018Article
- Eco-evolutionary causes and consequences of temporal changes in intratumoural blood flow.Nature reviews. Cancer · 2018Review
- Classifying the evolutionary and ecological features of neoplasms.Nature reviews. Cancer · 2017Review
- Multi-omics study revealing the complexity and spatial heterogeneity of tumor-infiltrating lymphocytes in primary liver carcinoma.Oncotarget · 2017Article
- Genome-independent hypoxic repression of estrogen receptor alpha in breast cancer cells.BMC cancer · 2017Article
- DGCA: A comprehensive R package for Differential Gene Correlation Analysis.BMC systems biology · 2016Article
Corrections and comments
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Authors and funding
8 authors at 3 institutions in 2 countries.
Funding
Abstract
backgroundBreast carcinoma can be classified as either Estrogen Receptor (ER) positive or negative by immunohistochemical phenotyping, although ER expression may vary from 1 to 100% of malignant cells within an ER + tumor. This is similar to genetic variability observed in other tumor types and is generally viewed as a consequence of intratumoral evolution driven by random genetic mutations. Here we view cellular evolution within tumors as a classical Darwinian system in which variations in molecular properties represent predictable adaptations to spatially heterogeneous environmental selection forces. We hypothesize that ER expression is a successful adaptive strategy only if estrogen is present in the microenvironment. Since the dominant source of estrogen is blood flow, we hypothesized that, in general, intratumoral regions with higher blood flow would contain larger numbers of ER + cells when compared to areas of low blood flow and in turn necrosis.
methodsThis study used digital pathology whole slide image acquisition and advanced image analysis algorithms. We examined the spatial distribution of ER + and ER- cells, vascular density, vessel area, and tissue necrosis within histological sections of 24 breast cancer specimens. These data were correlated with the patients ER status and molecular pathology report findings.
resultsANOVA analyses revealed a strong correlation between vascular area and ER expression and between high fractional necrosis and absent ER expression (R(2) = 39%; p < 0.003 and R(2) = 46%; p < 0.001), respectively). ER expression did not correlate with tumor grade or size.
conclusionWe conclude that ER expression can be understood as a Darwinian process and linked to variations in estrogen delivery by temporal and spatial heterogeneity in blood flow. This correlation suggests strategies to promote intratumoral blood flow or a cyclic introduction of estrogen in the treatment schedule could be explored as a counter-intuitive approach to increase the efficacy of anti-estrogen drugs.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.