Evidence map›Paper›PMID 30909182›Full record

ReviewCancer biomarkers : section A of Disease markers2019

CCDC6, a gene product in fusion with different protoncogenes, as a potential chemotherapeutic target.

Aishwarya Laxmi, Pawan Gupta, Jeena Gupta

Abstract readReview
In one paragraph

Review in Cancer biomarkers : section A of Disease markers, 2019. 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
0.4field-weighted citation impact, top 39% 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, 8 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

3 authors at 1 institution in 1 country.

Aishwarya LaxmiSchool of Bioengineering and Biosciences, Lovely Professional University, Phagwara, Punjab 144411, India.
Pawan GuptaSchool of Pharmaceutical Sciences, Lovely Professional University, Phagwara, Punjab 144411, India.
Jeena GuptaSchool of Bioengineering and Biosciences, Lovely Professional University, Phagwara, Punjab 144411, India.
Lovely Professional University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer, a deadly disease is characterized by abnormal cell growth with the potential to invade to other parts of the body. Most cancers start due to changes at gene level that happen over a person's lifetime when DNA repair system becomes faulty. CCDC6, one of the players in DNA repair system acts as a tumor suppressor gene. It was originally identified in chimeric genes caused by chromosomal translocation involving RET proto-oncogene in some thyroid tumors. Different fusion chimers with different proto-oncogenes like RET are known for CCDC6 which hampered its function. Further, CCDC6 is recognized as a pro-apoptotic phosphoprotein, which is an ATM substrate responsive to genotoxic stress. In this article, we reviewed the published literature to characterize CCDC6 fusions with proto-oncogenes and the role of natural phytochemicals which can potentially alter CCDC6 activity and thus can prove beneficial for cancer patients.

Indexed as

Proto-OncogenesAnimalsAntineoplastic AgentsBiomarkers, TumorCytoskeletal ProteinsGene Expression Regulation, NeoplasticHumansMolecular Targeted TherapyNeoplasmsOncogene Proteins, FusionProtein Processing, Post-TranslationalProto-Oncogene MasSignal TransductionStructure-Activity RelationshipAntineoplastic AgentsBiomarkers, TumorCCDC6 protein, humanCytoskeletal ProteinsMAS1 protein, humanOncogene Proteins, FusionProto-Oncogene MascancerCCDC6chimeric proteinDNA repairproto-oncogenes

Identifiers

PMID30909182
PMCPMC13082534
OpenAlexW2925075900

What OpenQuestion holds

Textmetadata
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.