Evidence map›Paper›PMID 29344267›Full record

ReviewJournal of Cancer2018

Break Breast Cancer Addiction by CRISPR/Cas9 Genome Editing.

Haitao Yang, MariaLynn Jaeger, Averi Walker, Daniel Wei, Katie Leiker, Tao Weitao

Open access · goldAbstract readReview
In one paragraph

Review in Journal of Cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

19 citing papers in PubMed, 29 citations in OpenAlex.

  1. Review
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  11. Recent advances in liposome formulations for breast cancer therapeutics.Cellular and molecular life sciences : CMLS · 2021
    Review
  12. New insights on CRISPR/Cas9-based therapy for breast Cancer.Genes and environment : the official journal of the Japanese Environmental Mutagen Society · 2021
    Review
  13. 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

6 authors at 2 institutions in 1 country.

Haitao YangLaboratory for Cancer Genome Editing, Zhuhai Lifecode Medical Technologies. Inc. Department of Prenatal Diagnosis, Huizhou 2nd Hospital for Children and Women, #101 University Road, Tangjiawan, Zhuhai, 518900, Guangdong, China.
MariaLynn JaegerCollege of Science and Mathematics, Southwest Baptist University, 1600 University Avenue, Bolivar, Missouri 65613, USA.
Averi WalkerCollege of Science and Mathematics, Southwest Baptist University, 1600 University Avenue, Bolivar, Missouri 65613, USA.
Daniel WeiUniversity of Texas at Dallas, 800 W Campbell Rd, Richardson, TX 75080, USA.
Katie LeikerCollege of Science and Mathematics, Southwest Baptist University, 1600 University Avenue, Bolivar, Missouri 65613, USA.
Tao WeitaoCollege of Science and Mathematics, Southwest Baptist University, 1600 University Avenue, Bolivar, Missouri 65613, USA.
Southwest Baptist University · USThe University of Texas at Dallas · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer is the leading diagnosed cancer for women globally. Evolution of breast cancer in tumorigenesis, metastasis and treatment resistance appears to be driven by the aberrant gene expression and protein degradation encoded by the cancer genomes. The uncontrolled cancer growth relies on these cellular events, thus constituting the cancerous programs and rendering the addiction towards them. These programs are likely the potential anticancer biomarkers for Personalized Medicine of breast cancer. This review intends to delineate the impact of the CRSPR/Cas-mediated genome editing in identification and validation of these anticancer biomarkers. It reviews the progress in three aspects of CRISPR/Cas9-mediated editing of the breast cancer genomes: Somatic genome editing, transcription and protein degradation addictions.

Indexed as

anticancer resistanceBreast cancerCRISPR/Cas9genome.metastasismutationsprotein degradationtranscriptiontumorigenesis

Identifiers

PMID29344267
PMCPMC5771328
OpenAlexW2768462070

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.