Evidence map›Paper›PMID 29250165›Full record

ArticleOncology letters2017

Evaluating the associations between human circadian rhythms and dysregulated genes in liver cancer cells.

Andrea Polo, Sakshi Singh, Anna Crispo, Marilina Russo, Aldo Giudice, Maurizio Montella, Giovanni Colonna, Susan Costantini

Open access · diamondAbstract read
In one paragraph

Article in Oncology letters, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.4field-weighted citation impact, top 36% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Review
  3. 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

8 authors at 2 institutions in 1 country.

Andrea PoloEpidemiology Unit, National Cancer Institute 'Foundation G. Pascale', IRCCS, I-80131 Naples, Italy.
Sakshi SinghDoctorate in Computational Biology, Second University of Naples, I-80131 Naples, Italy.
Anna CrispoEpidemiology Unit, National Cancer Institute 'Foundation G. Pascale', IRCCS, I-80131 Naples, Italy.
Marilina RussoOncology Research Center of Mercogliano, National Cancer Institute 'Foundation G. Pascale', IRCCS, I-80131 Naples, Italy.
Aldo GiudiceEpidemiology Unit, National Cancer Institute 'Foundation G. Pascale', IRCCS, I-80131 Naples, Italy.
Maurizio MontellaEpidemiology Unit, National Cancer Institute 'Foundation G. Pascale', IRCCS, I-80131 Naples, Italy.
Giovanni ColonnaMedical Informatics Service, University Hospital, University of Campania 'Luigi Vanvitelli', I-80131 Naples, Italy.
Susan CostantiniOncology Research Center of Mercogliano, National Cancer Institute 'Foundation G. Pascale', IRCCS, I-80131 Naples, Italy.
Istituto Nazionale Tumori IRCCS "Fondazione G. Pascale" · ITUniversity of Campania "Luigi Vanvitelli" · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Network analysis is a useful approach in cancer biology as it provides information regarding the genes and proteins. In our previous study, a network analysis was performed on dysregulated genes in HepG2 cells, a hepatoblastoma cell line that lacks the viral infection, compared with normal hepatocytes, identifying the presence of 26 HUB genes. The present study aimed to identify whether these previously identified HUB genes participate in the network that controls the human circadian rhythms. The results of the present study demonstrated that 20/26 HUB genes were associated with the metabolic processes that control human circadian rhythms, which supports the hypothesis that a number of cancer types are dependent from circadian cycles. In addition, it was revealed that the CLOCK circadian regulator gene was associated, via cytoskeleton associated protein 5 (CKAP5), with the HUB genes of the HepG2 network, and that CKAP5 was associated with three other circadian genes (casein kinase 1ε, casein kinase 1δ and histone deacetylase 4) and 10 HepG2 genes (SH2 domain containing, ZW10 interacting kinetochore protein, aurora kinase B, cell division cycle 20, centromere protein A, inner centromere protein, mitotic arrest deficient 2 like 1, baculoviral IAP repeat containing 5, SPC24 NDC80 kinetochore complex component and kinesin family member 2C). Furthermore, the genes that associate the circadian system with liver cancer were demonstrated to encode intrinsically disordered proteins. Finally, the results of the present study identified the microRNAs involved in the network formed by the overlapping of HepG2 and circadian genes.

Indexed as

circadian geneshepatocellular carcinomaHUB genesnetwork analysis

Identifiers

PMID29250165
PMCPMC5727601
OpenAlexW2758983499

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.