Evidence map›Paper›PMID 26865277›Full record

ArticleGenes, chromosomes & cancer2016

Integrated genomic profiling identifies microRNA-92a regulation of IQGAP2 in locally advanced rectal cancer.

Raphael Pelossof, Oliver S Chow, Lauren Fairchild, J Joshua Smith, Manu Setty, Chin-Tung Chen, Zhenbin Chen, Fumiko Egawa, Karin Avila, Christina S Leslie and 1 more

Open access · greenAbstract read
In one paragraph

Article in Genes, chromosomes & cancer, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

6 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Review
  6. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 2 institutions in 1 country.

Raphael Pelossof *Computational Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY.
Oliver S Chow *Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY.
Lauren FairchildComputational Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY.
J Joshua SmithDepartment of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY.
Manu SettyComputational Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY.
Chin-Tung ChenDepartment of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY.
Zhenbin ChenDepartment of Surgery, City of Hope, Duarte, CA.
Fumiko EgawaDepartment of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY.
Karin AvilaDepartment of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY.
Christina S LeslieComputational Biology Program, Memorial Sloan Kettering Cancer Center, New York, NY.
Julio Garcia-AguilarDepartment of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY.
Memorial Sloan Kettering Cancer Center · USCity of Hope · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
MSKCC Center for Translational Cancer Genomic AnalysisU24CA143840 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI LADANYI, MARC, SANDER, CHRIS · 2009 to 2016
$11.5M
Timing of Rectal Cancer Response to ChemoradiationR01CA090559 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GARCIA-AGUILAR, JULIO · 2003 to 2009
$3.9M
NCI NIH HHS CA090559NCI NIH HHS CA143840NCI NIH HHS P30 CA008748NCI NIH HHS R01 CA090559NCI NIH HHS U24 CA143840
6 · The paper itself

Abstract

Locally advanced rectal cancer (LARC) is treated with chemoradiation prior to surgical excision, leaving residual tumors altered or completely absent. Integrating layers of genomic profiling might identify regulatory pathways relevant to rectal tumorigenesis and inform therapeutic decisions and further research. We utilized formalin-fixed, paraffin-embedded pre-treatment LARC biopsies (n=138) and compared copy number, mRNA, and miRNA expression with matched normal rectal mucosa. An integrative model was used to predict regulatory interactions to explain gene expression changes. These predictions were evaluated in vitro using multiple colorectal cancer cell lines. The Cancer Genome Atlas (TCGA) was also used as an external cohort to validate our genomic profiling and predictions. We found differentially expressed mRNAs and miRNAs that characterize LARC. Our integrative model predicted the upregulation of miR-92a, miR-182, and miR-221 expression to be associated with downregulation of their target genes after adjusting for the effect of copy number alterations. Cell line studies using miR-92a mimics and inhibitors demonstrate that miR-92a expression regulates IQGAP2 expression. We show that endogenous miR-92a expression is inversely associated with endogenous KLF4 expression in multiple cell lines, and that this relationship is also present in rectal cancers of TCGA. Our integrative model predicted regulators of gene expression change in LARC using pre-treatment FFPE tissues. Our methodology implicated multiple regulatory interactions, some of which are corroborated by independent lines of study, while others indicate new opportunities for investigation.

Indexed as

Gene Expression Regulation, NeoplasticCell Line, TumorGene Expression ProfilingHumansIntestinal MucosaKruppel-Like Factor 4Kruppel-Like Transcription FactorsMicroRNAsras GTPase-Activating ProteinsRectal NeoplasmsRectumIQGAP2 protein, humanKLF4 protein, humanKruppel-Like Factor 4Kruppel-Like Transcription FactorsMicroRNAsMIRN92 microRNA, humanras GTPase-Activating Proteins

Identifiers

PMID26865277
PMCPMC4755360
OpenAlexW2413078384

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.