Trial reportMolecular oncology2017
Profiling of microRNAs in tumor interstitial fluid of breast tumors - a novel resource to identify biomarkers for prognostic classification and detection of cancer.
Trial report in Molecular oncology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
34 citing papers in PubMed, 57 citations in OpenAlex.
- High-throughput proteomics of breast cancer interstitial fluid: identification of tumor subtype-specific serologically relevant biomarkers.Molecular oncology · 2021Trial
- Recent advances in interstitial fluid dynamics for diagnostic, targeted drug delivery and precision medicine applications.Drug delivery and translational research · 2026Review
- Intestinal interstitial fluid isolation provides novel insight into the human host-microbiome interface.Cardiovascular research · 2025Article
- MiRNA expression deregulation correlates with the Oncotype DXBreast cancer research : BCR · 2022Article
- Quantitative and Multiplex Detection of Extracellular Vesicle-Derived MicroRNA via Rolling Circle Amplification within Encoded Hydrogel Microparticles.Advanced healthcare materials · 2022Article
- Review
- Beyond liquid biopsy: Toward non-invasive assays for distanced cancer diagnostics in pandemics.Biosensors & bioelectronics · 2022Review
- MicroRNA-206 suppresses growth and metastasis of breast cancer stem cells via blocking EVI-1-mediated CALR expression.PloS one · 2022Article
- End-to-end design of wearable sensors.Nature reviews. Materials · 2022Review
- Microneedle-Based Device for Biological Analysis.Frontiers in bioengineering and biotechnology · 2022Review
- Diagnosis, biology and epidemiology of oligometastatic breast cancer.Breast (Edinburgh, Scotland) · 2021Review
- Identification of miR‑25‑3p as a tumor biomarker: Regulation of cellular functions via TOB1 in breast cancer.Molecular medicine reports · 2021Article
- Upregulated N6-Methyladenosine RNA in Peripheral Blood: Potential Diagnostic Biomarker for Breast Cancer.Cancer research and treatment · 2021Article
- Construction of Potential Gene Expression and Regulation Networks in Prostate Cancer Using Bioinformatics Tools.Oxidative medicine and cellular longevity · 2021Article
- Exosomal miR-500a-5p derived from cancer-associated fibroblasts promotes breast cancer cell proliferation and metastasis through targeting USP28.Theranostics · 2021Article
- MiR-19b-3p accelerates bone loss after spinal cord injury by suppressing osteogenesis via regulating PTEN/Akt/mTOR signalling.Journal of cellular and molecular medicine · 2021Article
- Cancer-associated adipocytes: emerging supporters in breast cancer.Journal of experimental & clinical cancer research : CR · 2020Review
- Potential miRNAs for miRNA-Based Therapeutics in Breast Cancer.Non-coding RNA · 2020Review
- Secreted breast tumor interstitial fluid microRNAs and their target genes are associated with triple-negative breast cancer, tumor grade, and immune infiltration.Breast cancer research : BCR · 2020Article
- MiR-18a and miR-18b are expressed in the stroma of oestrogen receptor alpha negative breast cancers.BMC cancer · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
It has been hypothesized based on accumulated data that a class of small noncoding RNAs, termed microRNAs, are key factors in intercellular communication. Here, microRNAs present in interstitial breast tumor fluids have been analyzed to identify relevant markers for a diagnosis of breast cancer and to elucidate the cross-talk that exists among cells in a tumor microenvironment. Matched tumor interstitial fluid samples (TIF, n = 60), normal interstitial fluid samples (NIF, n = 51), corresponding tumor tissue specimens (n = 54), and serum samples (n = 27) were collected from patients with breast cancer, and detectable microRNAs were analyzed and compared. In addition, serum data from 32 patients with breast cancer and 22 healthy controls were obtained for a validation study. To identify potential serum biomarkers of breast cancer, first the microRNA profiles of TIF and NIF samples were compared. A total of 266 microRNAs were present at higher level in the TIF samples as compared to normal counterparts. Sixty-one of these microRNAs were present in > 75% of the serum samples and were subsequently tested in a validation set. Seven of the 61 microRNAs were associated with poor survival, while 23 were associated with the presence of immune cells and adipocytes. To our knowledge, these data demonstrate for the first time that profiling of microRNAs in TIF can identify novel biomarkers for the prognostic classification and detection of breast cancer. In addition, the present findings demonstrate that microRNAs may represent the cross-talk that occurs between tumor cells and their surrounding stroma.
Indexed as
Identifiers
What OpenQuestion holds
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.