Evidence map›Paper›PMID 28002797›Full record

ArticleOncotarget2017

Targeted exome sequencing reveals distinct pathogenic variants in Iranians with colorectal cancer.

Hassan Ashktorab, Pooneh Mokarram, Hamed Azimi, Hasti Olumi, Sudhir Varma, Michael L Nickerson, Hassan Brim

Abstract read
In one paragraph

Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–field-weighted citation impact
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

20 citing papers in PubMed.

  1. Article
  2. Association betweenIranian journal of public health · 2025
    Review
  3. Article
  4. Article
  5. Review
  6. Observational
  7. TP53, SPOP and PIK3CA Genes Status in Prostate Cancer.Asian Pacific journal of cancer prevention : APJCP · 2020
    Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Genetics and genomic medicine in Iran.Molecular genetics & genomic medicine · 2019
    Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Article
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

7 authors.

Hassan AshktorabDepartment of Medicine and Cancer Center, Howard University College of Medicine, Washington, DC, USA.
Pooneh MokarramCurrent address: Department of Biochemistry, Shiraz University of Medical Sciences, Shiraz, Iran.
Hamed AzimiDepartment of Medicine and Cancer Center, Howard University College of Medicine, Washington, DC, USA.
Hasti OlumiDepartment of Medicine and Cancer Center, Howard University College of Medicine, Washington, DC, USA.
Sudhir VarmaHithru LLC, Silver Spring, MD, USA.
Michael L NickersonLaboratory of Translational Genomics, National Cancer Institute, Bethesda, MD, USA.
Hassan BrimDepartment of Pathology, Howard University College of Medicine, Washington, DC, USA.

Funding

PROTEOMICS CORE FACILITYG12MD007597 · NIMHD · HOWARD UNIVERSITY · PI SOUTHERLAND, WILLIAM M. · 2012 to 2018
$14.8M
NIMHD NIH HHS G12 MD007597
6 · The paper itself

Abstract

purposeNext Generation Sequencing (NGS) is currently used to establish mutational profiles in many multigene diseases such as colorectal cancer (CRC), which is on the rise in many parts of the developing World including, Iran. Little is known about its genetic hallmarks in these populations.

aimTo identify variants in 15 CRC-associated genes in patients of Iranian descent.

resultsThere were 51 validated variants distributed on 12 genes: 22% MSH3 (n = 11/51), 10% MSH6 (n = 5/51), 8% AMER1 (n = 4/51), 20% APC (n = 10/51), 2% BRAF (n = 1/51), 2% KRAS (n = 1/51), 12% PIK3CA (n = 6/51), 8% TGFβR2A (n = 4/51), 2% SMAD4 (n = 1/51), 4% SOX9 (n = 2/51), 6% TCF7L2 (n = 3/51), and 6% TP53 (n = 3/51). Most known and distinct variants were in mismatch repair genes (MMR, 32%) and APC (20%). Among oncogenes, PIK3CA was the top target (12%). MATERIALS AND

methodsCRC specimens from 63 Shirazi patients were used to establish the variant' profile on an Ion Torrent platform by targeted exome sequencing. To rule-out technical artifacts, the variants were validated in 13 of these samples using an Illumina NGS platform. Validated variants were annotated and compared to variants from publically available databases. An in-silico functional analysis was performed. MSI status of the analyzed samples was established.

conclusionThese results illustrate for the first time CRC mutational profile in Iranian patients. MSH3, MSH6, APC and PIK3CA genes seem to play a bigger role in the path to cancer in this population. These findings will potentially lead to informed genetic diagnosis protocol and targeted therapeutic strategies.

Indexed as

ExomeGenetic VariationHigh-Throughput Nucleotide SequencingBiomarkers, TumorColorectal NeoplasmsComputational BiologyDatabases, GeneticExome SequencingGene Expression ProfilingGenetic Predisposition to DiseaseIranPhenotypePredictive Value of TestsPrognosisTranscriptomeBiomarkers, TumorCaucasiancolonIranianShirazitargeted exome sequencing

Identifiers

PMID28002797
PMCPMC5341754

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Registered trials

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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.