ArticleInternational journal of clinical oncology2012
Myeloid cells positive for CD10 at invasion front can predict poor outcome in stage II colorectal cancer.
Article in International journal of clinical oncology, 2012. 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, 7 citations in OpenAlex.
- Diagnostic significance of CD10 marker to differentiate colorectal adenocarcinoma from adenomatous polyp: A pathological correlation.Caspian journal of internal medicine · 2024Article
- Expression of CD10 and CD15 in colorectal mucinous and signet ring adenocarcinomas and its relation to clinicopathological features and prognosis.Cancer biomarkers : section A of Disease markers · 2022Article
- Tumour budding in rectal cancer. A comprehensive review.Contemporary oncology (Poznan, Poland) · 2018Review
- The Expression of CD10 and CD15 Is Progressively Increased during Colorectal Cancer Development.Korean journal of pathology · 2013Article
- Transmembrane mucin MUC1 overexpression and its association with CD10⁺ myeloid cells, transforming growth factor-β1 expression, and tumor budding grade in colorectal cancer.Cancer science · 2013Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPrediction of poor patient outcome as a effect of adjuvant therapy in stage II colorectal cancer (CRC) remains a matter of controversy. Tumor expression of CD10 and CD15 is reportedly related to poor outcome in CRC. In this study, we investigated whether the expression of CD10 and CD15 is a predictor of outcome and the effect of adjuvant therapy in stage II CRC. MATERIALS AND
methodsImmunohistochemical analyses for CD10 and CD15 and some additional markers (CD11b, CD14, CD163, CD3, and CD20) were performed using paraffin sections of CRC specimens from 57 patients who had undergone curative surgical treatments between 1998 and 2004. Forty of these patients received postoperative adjuvant therapy. We distinguished between expression in tumor cells (tCD10 and tCD15), in stromal cells (sCD10), and infiltrating immune cells (iCD10 and iCD15).
resultsExpression of iCD10 was observed in 21.1% (12/57) of the specimens examined. Of all expression patterns, only iCD10 expression at the cancer invasion front was a useful predictor of a disease-free period and overall survival in stage II CRC. Adjuvant therapy improved the outcome of iCD10(+) patients. CD10(+) immune cells were heterogeneous in origin and partially overlapped the cells positive for myeloid lineage markers, including CD11b and CD15.
conclusionsiCD10 expression at the tumor invasion front is a useful marker for predicting a high risk of recurrence and mortality in stage II CRCs. CD10(+) immune cells appear to be of myeloid origin.
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.