Evidence map›Paper›PMID 27568332›Full record

ArticleMedical oncology (Northwood, London, England)2016

Targeted molecular profiling of rare genetic alterations in colorectal cancer using next-generation sequencing.

Mayank Jauhri, Akanksha Bhatnagar, Satish Gupta, Yogender Shokeen, Sachin Minhas, Shyam Aggarwal

Abstract read
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In one paragraph

Article in Medical oncology (Northwood, London, England), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 2 pooled it
3.8field-weighted citation impact, top 7% 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

21 citing papers in PubMed, 2 syntheses or guidelines pooled it, 32 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
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  5. Article
  6. Article
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  13. Identification ofOncology letters · 2021
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  14. Review
  15. C1222C Deletion in Exon 8 ofFrontiers in oncology · 2020
    Article
  16. Molecular Landscape of ERBB2/ERBB3 Mutated Colorectal Cancer.Journal of the National Cancer Institute · 2018
    Article
  17. Article
  18. Article
  19. Article
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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

6 authors at 3 institutions in 1 country.

Mayank JauhriDepartment of Medical Oncology, Sir Ganga Ram Hospital, New Delhi, 110060, India. mayank.jauhri@yahoo.com.ORCID http://orcid.org/0000-0002-7912-9784
Akanksha BhatnagarAmity Institute of Biotechnology, Amity University, Noida, 201313, India.
Satish GuptaStrand Life Sciences, Bangalore, 560024, India.
Yogender ShokeenDepartment of Medical Oncology, Sir Ganga Ram Hospital, New Delhi, 110060, India.
Sachin MinhasDepartment of Medical Oncology, Sir Ganga Ram Hospital, New Delhi, 110060, India.
Shyam AggarwalDepartment of Medical Oncology, Sir Ganga Ram Hospital, New Delhi, 110060, India.
Sir Ganga Ram Hospital · INAmity University · INStrand Life Sciences (India) · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mutation frequencies of common genetic alterations in colorectal cancer have been in the spotlight for many years. This study highlights few rare somatic mutations, which possess the attributes of a potential CRC biomarker yet are often neglected. Next-generation sequencing was performed over 112 tumor samples to detect genetic alterations in 31 rare genes in colorectal cancer. Mutations were detected in 26/31 (83.9 %) uncommon genes, which together contributed toward 149 gene mutations in 67/112 (59.8 %) colorectal cancer patients. The most frequent mutations include KDR (19.6 %), PTEN (17 %), FBXW7 (10.7 %), SMAD4 (10.7 %), VHL (8 %), KIT (8 %), MET (7.1 %), ATM (6.3 %), CTNNB1 (4.5 %) and CDKN2A (4.5 %). RB1, ERBB4 and ERBB2 mutations were persistent in 3.6 % patients. GNAS, FGFR2 and FGFR3 mutations were persistent in 1.8 % patients. Ten genes (EGFR, NOTCH1, SMARCB1, ABL1, STK11, SMO, RET, GNAQ, CSF1R and FLT3) were found mutated in 0.9 % patients. Lastly, no mutations were observed in AKT, HRAS, MAP2K1, PDGFR and JAK2. Significant associations were observed between VHL with tumor site, ERBB4 and SMARCB1 with tumor invasion, CTNNB1 with lack of lymph node involvement and CTNNB1, FGFR2 and FGFR3 with TNM stage. Significantly coinciding mutation pairs include PTEN and SMAD4, PTEN and KDR, EGFR and RET, EGFR and RB1, FBXW7 and CTNNB1, KDR and FGFR2, FLT3 and CTNNB1, RET and RB1, ATM and SMAD4, ATM and CDKN2A, ERBB4 and SMARCB1. This study elucidates few potential colorectal cancer biomarkers, specifically KDR, PTEN, FBXW7 and SMAD4, which are found mutated in more than 10 % patients.

Indexed as

MutationBiomarkers, TumorColorectal NeoplasmsFemaleHigh-Throughput Nucleotide SequencingHumansMaleReceptor Protein-Tyrosine KinasesSignal TransductionBiomarkers, TumorReceptor Protein-Tyrosine KinasesColorectal cancerMutationsNext-generation sequencing

Identifiers

PMID27568332
OpenAlexW2508780522

What OpenQuestion holds

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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.