Evidence map›Paper›PMID 33926574›Full record

ReviewGenes and environment : the official journal of the Japanese Environmental Mutagen Society2021

New insights on CRISPR/Cas9-based therapy for breast Cancer.

Hussein Sabit, Shaimaa Abdel-Ghany, Huseyin Tombuloglu, Emre Cevik, Amany Alqosaibi, Fatma Almulhim, Afnan Al-Muhanaa

Abstract readReview
In one paragraph

Review in Genes and environment : the official journal of the Japanese Environmental Mutagen Society, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

7 authors.

Hussein SabitDepartment of Genetics, Institute for Medical Research and Consultations, Imam Abdulrahman Bin Faisal University, P. O. Box: 1982, Dammam, 31441, Saudi Arabia. hhsabit@iau.edu.sa.ORCID http://orcid.org/0000-0001-9021-8334
Shaimaa Abdel-GhanyDepartment of Environmental Biotechnology, College of Biotechnology, Misr University for Science and Technology, P. O. Box 77, Giza, Egypt.
Huseyin TombulogluDepartment of Genetics, Institute for Medical Research and Consultations, Imam Abdulrahman Bin Faisal University, P. O. Box: 1982, Dammam, 31441, Saudi Arabia.
Emre CevikDepartment of Genetics, Institute for Medical Research and Consultations, Imam Abdulrahman Bin Faisal University, P. O. Box: 1982, Dammam, 31441, Saudi Arabia.
Amany AlqosaibiDepartment of Biology, College of Science, Imam Abdulrahman Bin Faisal University, P. O. 4 Box, Dammam, 1982, Saudi Arabia.
Fatma AlmulhimBreast Imaging Division, KFHU, Imam Abdulrahman Bin Faisal University, P. O. 4 Box, Dammam, 1982, Saudi Arabia.
Afnan Al-MuhanaaBreast Imaging Division, KFHU, Imam Abdulrahman Bin Faisal University, P. O. 4 Box, Dammam, 1982, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

CRISPR/Cas9 has revolutionized genome-editing techniques in various biological fields including human cancer research. Cancer is a multi-step process that encompasses the accumulation of mutations that result in the hallmark of the malignant state. The goal of cancer research is to identify these mutations and correlate them with the underlying tumorigenic process. Using CRISPR/Cas9 tool, specific mutations responsible for cancer initiation and/or progression could be corrected at least in animal models as a first step towards translational applications. In the present article, we review various novel strategies that employed CRISPR/Cas9 to treat breast cancer in both in vitro and in vivo systems.

Indexed as

Breast CancerCRISPR/Cas9Genome editingTherapy

Identifiers

PMID33926574
PMCPMC8082964

What OpenQuestion holds

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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.