ArticleBiomedical reports2013
Exploration of macrophage colony-stimulating factor as a new type of tumor marker.
Article in Biomedical reports, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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
4 citing papers in PubMed, 5 citations in OpenAlex.
- The paradoxical role of cytokines and chemokines at the tumor microenvironment: a comprehensive review.European journal of medical research · 2024Review
- Tumor Associated Macrophages: Origin, Recruitment, Phenotypic Diversity, and Targeting.Frontiers in oncology · 2021Review
- Inverse correlation between Interleukin-34 and gastric cancer, a potential biomarker for prognosis.Cell & bioscience · 2020Article
- Diagnostic Power of Vascular Endothelial Growth Factor and Macrophage Colony-Stimulating Factor in Breast Cancer Patients Based on ROC Analysis.Mediators of inflammation · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Gastric cancer is a common type of malignancy with a high incidence of mortality. Therefore, tumor markers should be identified to screen for various types of cancer. Elevated serum concentrations of macrophage colony-stimulating factor (M-CSF) have been found in a variety of malignant diseases. The aim of the present study was to investigate the possibility of serum M-CSF as a new type of tumor marker and to determine its effectiveness when combinedd with other tumor markers. Serum was collected from 32 gastric cancer patients, who were initially diagnosed by gastroscopy, at the Department of General Surgery of Huashan Hospital betwee July, 2010 and December, 2011, and 8 controls. The serum level of M-CSF was measured by enzyme-linked immunosorbent assay kits (ELISA). Clinical and pathological testing was conducted to analyze the differences in the serum level of M-CSF, as comparing to traditional tumor markers. Carcinoembryonic antigen (CEA) and M-CSF levels were found to be significantly higher in the gastric cancer group as compared to the non-gastric cancer group (P<0.05). CEA levels were significantly elevated when the gastric cancer lesions infiltrated the serosa (P=0.046). Additionally, the increased levels of M-CSF were of statistical significance when there was lymph node involvement in gastric cancer. For distant metastasis, the levels of M-CSF were decreased (P=0.026), however, the ratio of CEA to M-CSF values increased significantly (P=0.048). Furthermore, the M-CSF level was positively correlated with TNM stage in gastric cancer patients without distant organ metastasis, in contrast to gastric cancer patients with distant organ metastasis. In conclusion, M-CSF may be considered as a new type of tumor marker that can be combined with traditional tumor markers in order to determine whether the cancer migrated to distant organs.
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.