Evidence map›Paper›PMID 35898303›Full record

ArticleFrontiers in molecular biosciences2022

Decoding the Role of Epigenetics in Breast Cancer Using Formal Modeling and Machine-Learning Methods.

Ayesha Asim, Yusra Sajid Kiani, Muhammad Tariq Saeed, Ishrat Jabeen

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in molecular biosciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 93% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

4 authors at 1 institution in 1 country.

Ayesha AsimSchool of Interdisciplinary Engineering and Sciences (SINES), National University of Sciences and Technology, (NUST), Islamabad, Pakistan.
Yusra Sajid KianiSchool of Interdisciplinary Engineering and Sciences (SINES), National University of Sciences and Technology, (NUST), Islamabad, Pakistan.
Muhammad Tariq SaeedSchool of Interdisciplinary Engineering and Sciences (SINES), National University of Sciences and Technology, (NUST), Islamabad, Pakistan.
Ishrat JabeenSchool of Interdisciplinary Engineering and Sciences (SINES), National University of Sciences and Technology, (NUST), Islamabad, Pakistan.
National University of Sciences and Technology · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast carcinogenesis is known to be instigated by genetic and epigenetic modifications impacting multiple cellular signaling cascades, thus making its prevention and treatments a challenging endeavor. However, epigenetic modification, particularly DNA methylation-mediated silencing of key TSGs, is a hallmark of cancer progression. One such tumor suppressor gene (TSG)

Indexed as

c-mycDnmt1machine learningqualitative modelingRUNX3 signaling pathwaySMBioNet

Identifiers

PMID35898303
PMCPMC9309526
OpenAlexW4285012925

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.