ArticleJournal of clinical laboratory analysis2016
Circulating Tumor Cells and Tumor Stem Cells Detection in the Peripheral Blood Mononuclear Cells of Breast Cancer.
Article in Journal of clinical laboratory analysis, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed, 10 citations in OpenAlex.
- Prospective Monitoring of Circulating Epithelial Tumor Cells (CETC) Reveals Changes in Gene Expression during Adjuvant Radiotherapy of Breast Cancer Patients.Current oncology (Toronto, Ont.) · 2021Article
- Combination Therapy with Vitamin C Could Eradicate Cancer Stem Cells.Biomolecules · 2020Review
- The Role of Breast Cancer Stem Cells as a Prognostic Marker and a Target to Improve the Efficacy of Breast Cancer Therapy.Cancers · 2019Review
- Detection of ANO1 mRNA in PBMCs is a promising method for GISTs diagnosis.Scientific reports · 2019Article
- Cytokeratin 17 mRNA as a prognostic marker of oral squamous cell carcinoma.Oncology letters · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundOur aim was to retrospectively analyze the relationships between circulating tumor cells (CTCs) and the development of breast cancer, for elucidating the role of CTCs in breast cancer.
methodsA total of 107 female patients with primary breast cancer and 48 matched healthy female volunteers were recruited. After blood collection, isolation of peripheral blood mononuclear cells (PBMC) was performed followed by the detection of cytokeratin 19 positive (CK19(+) ) and CD44(+) /CD24(-/low) cells, as well as estrogen receptor (ER), progesterone, and CerbB2. Data were analyzed with the SPSS 20.0 software.
resultsNone of the 48 volunteers were detected with CK19(+) cells in their PBMC, while in 77 patients, 72% of 107 female patients with primary breast cancer, the CK19(+) cells were detected. CK19(+) could also be detected among patients in each grouping by different clinical staging and lymph node metastasis, with statistical differences (all P < 0.05). Further, among the 83 CK19(+) specimens, 32 were also detected with CD44(+) /CD24(-/low) cells. Comparisons of CK19(+) and CD44(+) /CD24(-/low) cells in patients with different clinical features (ER positive vs. ER negative, C-erbB2 positive vs. C-erbB2 negative) and molecular subtypes (triple-negative breast cancer, ER positive, and C-erbB2 positive) showed no obvious difference (all P > 0.05).
conclusionsBoth CTCs and tumor stem cells (TSCs) could be detected in the PBMC of breast cancer patients; besides, positive expression rate of CTCs might be obviously associated with the clinical stage and metastasis. Positive relationship of TSCs and the clinical stage of breast cancer was also proved in this study.
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.