Evidence map›Paper›PMID 27179633›Full record

ArticleBreast cancer research : BCR2016

CD24 cell surface expression in Mvt1 mammary cancer cells serves as a biomarker for sensitivity to anti-IGF1R therapy.

Ran Rostoker, Sarit Ben-Shmuel, Rola Rashed, Zila Shen Orr, Derek LeRoith

Open access · goldAbstract read
In one paragraph

Article in Breast cancer research : BCR, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 41% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
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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

5 authors at 1 institution in 1 country.

Ran RostokerDiabetes and Metabolism Clinical Research Center of Excellence, Clinical Research Institute at Rambam (CRIR), Rambam Medical Center, Haifa, Israel.
Sarit Ben-ShmuelDiabetes and Metabolism Clinical Research Center of Excellence, Clinical Research Institute at Rambam (CRIR), Rambam Medical Center, Haifa, Israel.
Rola RashedDiabetes and Metabolism Clinical Research Center of Excellence, Clinical Research Institute at Rambam (CRIR), Rambam Medical Center, Haifa, Israel.
Zila Shen OrrDiabetes and Metabolism Clinical Research Center of Excellence, Clinical Research Institute at Rambam (CRIR), Rambam Medical Center, Haifa, Israel.
Derek LeRoithDiabetes and Metabolism Clinical Research Center of Excellence, Clinical Research Institute at Rambam (CRIR), Rambam Medical Center, Haifa, Israel. derek.leroith@mssm.edu.
Rambam Health Care Campus · IL

Funding

Mechanisms for the pro-metastatic effects of hyperinsulinemia on breast cancerR01CA128799 · NCI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI LEROITH, DEREK · 2008 to 2018
$3.7M
NCI NIH HHS R01 CA128799
6 · The paper itself

Abstract

backgroundThe pro-tumorigenic effects of the insulin-like growth factor receptor (IGF1R) are well described. IGF1R promotes cancer cell survival and proliferation and prevents apoptosis, and, additionally it was shown that IGF1R levels are significantly elevated in most common human malignancies including breast cancer. However, results from phase 3 clinical trials in unselected patients demonstrated lack of efficacy for anti-IGF1R therapy. These findings suggest that predictive biomarkers are greatly warranted in order to identify patients that will benefit from anti-IGF1R therapeutic strategies.

methodsUsing the delivery of shRNA vectors into the Mvt1 cell line, we tested the role of the IGF1R in the development of mammary tumors. Based on CD24 cell surface expression, control and IGF1R-knockdown (IGF1R-KD) cells were FACS sorted into CD24(-) and CD24(+) subsets and further characterized in vitro. The tumorigenic capacity of each was determined following orthotopic inoculation into the mammary fat pad of female mice. Tumor cells were FACS characterized upon sacrifice to determine IGF1R effect on the plasticity of this cell's phenotype. Metastatic capacity of the cells was assessed using the tail vein assay.

resultsIn this study we demonstrate that downregulation of the IGF1R specifically in cancer cells expressing CD24 on the cell surface membrane affect both their morphology (from mesenchymal-like into epithelial-like morphology) and phenotype in vitro. Moreover, we demonstrate that IGF1R-KD abolished both CD24(+) cells capacity to form mammary tumors and lung metastatic lesions. We found in both cells and tumors a marked upregulation in CTFG and a significant reduction of SLP1 expression in the CD24(+)/IGF1R-KD; tumor-suppressor and tumor-promoting genes respectively. Moreover, we demonstrate here that the IGF1R is essential for the maintenance of stem/progenitor-like cancer cells and we further demonstrate that IGF1R-KD induces in vivo differentiation of the CD24(+) cells toward the CD24(-) phenotype. This further supports the antitumorigenic effects of IGF1R-KD, as we recently published that these differentiated cells demonstrate significantly lower tumorigenic capacity compared with their CD24(+) counterparts.

conclusionsTaken together these findings suggest that CD24 cell surface expression may serve as a valuable biomarker in order to identify mammary tumors that will positively respond to targeted IGF1R therapies.

Indexed as

Gene ExpressionAnimalsBiomarkersBreast NeoplasmsCD24 AntigenCell Line, TumorConnective Tissue Growth FactorDisease Models, AnimalFemaleGene Expression Regulation, NeoplasticGene Knockdown TechniquesHumansImmunophenotypingMammary Neoplasms, AnimalMiceNeoplasm MetastasisBiomarkersCD24 AntigenConnective Tissue Growth FactorReceptor, IGF Type 1Secretory Leukocyte Peptidase InhibitorCD24IGF1RMammary tumor

Identifiers

PMID27179633
PMCPMC4867988
OpenAlexW2376367710

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.