Evidence map›Paper›PMID 29433875›Full record

ArticleThe Journal of surgical research2018

Alterations in cancer stem-cell marker CD44 expression predict oncologic outcome in soft-tissue sarcomas.

Timothy Henderson, Mingyi Chen, Morgan A Darrow, Chin-Shang Li, Chi-Lu Chiu, Arta M Monjazeb, William J Murphy, Robert J Canter

Open access · greenAbstract read
In one paragraph

Article in The Journal of surgical research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.4field-weighted citation impact, top 16% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 22 citations in OpenAlex.

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  15. Cancer stem cells and tumorigenesis.Biophysics reports · 2018
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 1 country.

Timothy HendersonUniversity of Vermont College of Medicine, Burlington, Vermont.
Mingyi ChenDepartment of Pathology and Laboratory Medicine, University of California Davis Medical Center, Sacramento, California.
Morgan A DarrowDepartment of Pathology and Laboratory Medicine, University of California Davis Medical Center, Sacramento, California.
Chin-Shang LiDivision of Biostatistics, Department of Public Health Sciences, University of California Davis, Sacramento, California.
Chi-Lu ChiuDivision of Biostatistics, Department of Public Health Sciences, University of California Davis, Sacramento, California.
Arta M MonjazebDepartment of Radiation Oncology, University of California Davis, Sacramento, California.
William J MurphyDepartments of Dermatology and Internal Medicine, Laboratory of Cancer Immunology, University of California Davis Medical Center, Sacramento, California.
Robert J CanterDivision of Surgical Oncology, Department of Surgery, University of California Davis Medical Center, Sacramento, California. Electronic address: rjcanter@ucdavis.edu.
University of California Davis Medical Center · USUniversity of California, Davis · USUniversity of Vermont · US

Funding

UC Davis Clinical and Translational Science CenterUL1TR000002 · NCATS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI BERGLUND, LARS F · 2012 to 2015
$12.2M
Radio-immunotherapy to Target Cancer Stem Cells in Solid Tumor MalignanciesR01CA189209 · NCI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI MURPHY, WILLIAM JOSEPH · 2015 to 2019
$2.0M
NCATS NIH HHS UL1 TR000002NCI NIH HHS R01 CA189209
6 · The paper itself

Abstract

backgroundCancer stem cells (CSCs) have been shown to resist chemotherapy and promote metastasis after cytotoxic therapies. We sought to determine if the expression of CSC markers (aldehyde dehydrogenase [ALDH], CD44, and epidermal growth factor receptor [EGFR]) predicted outcomes in soft-tissue sarcoma (STS) patients.

methodsWe queried an institutional database of 23 STS patients and evaluated immunohistochemical expression of CSC markers ALDH, CD44, and EGFR. The Cancer Genome Atlas (TCGA) was also queried for STS clinical and genomic data. Disease-specific (DSS) and overall survival (OS) were assessed by univariate and Kaplan-Meier analysis.

resultsOf the 23 institutional patients, the majority was female, had high-grade tumors and had extremity tumors. With a median follow-up of 27 months, nine patients (39%) experienced distant recurrence, and four (17%) died of disease. Mean H-scores at diagnosis (±standard error of the mean) for CD44, ALDH1, and EGFR were 169 ± 27, 77 ± 15, and 144 ± 23, respectively. On univariate analysis, there was a trend for increased CD44 score to predict both worse DSS and OS (hazard ratio = 1.01, 95% confidence interval 1-1.02, P = 0.056), whereas ALDH and EGFR scores did not. Analysis of 74 TCGA STS cases with complete clinical and genomic data revealed that CD44 copy number alterations predicted worse DSS (9.89 months versus 72.5 months, P = 0.007) and a trend for worse OS (14.03 months versus 38.6 months, P = 0.12), whereas ALDH1 and EGFR copy number alteration did not. Multivariate analysis of the combined data sets was consistent with worse DSS among patients with higher CD44 expression.

conclusionsInstitutional and national TCGA data show the association of elevated baseline CD44 expression with worse STS outcomes. Further study of CD44 as a possible novel STS biomarker appears indicated.

Indexed as

AdultAgedAged, 80 and overAldehyde Dehydrogenase 1 FamilyErbB ReceptorsFemaleHumansHyaluronan ReceptorsImmunohistochemistryIsoenzymesMaleMiddle AgedNeoplastic Stem CellsRetinal DehydrogenaseSarcomaAldehyde Dehydrogenase 1 FamilyALDH1A1 protein, humanCD44 protein, humanEGFR protein, humanErbB ReceptorsHyaluronan ReceptorsIsoenzymesRetinal DehydrogenaseALDHCancer stem cellsCD44EGFROncologic outcomesSoft-tissue sarcoma

Identifiers

PMID29433875
PMCPMC5812363
OpenAlexW2778554690

What OpenQuestion holds

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Registered trials

None linked

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.