Evidence map›Paper›PMID 38451194›Full record

ArticleAging2024

SORBS1 inhibits epithelial to mesenchymal transition (EMT) of breast cancer cells by regulating PI3K/AKT signaling and macrophage phenotypic polarization.

Kai Feng, Ya Di, Meng Han, Weitao Yan, Yimin Wang

Open access · hybridAbstract read
In one paragraph

Article in Aging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.9field-weighted citation impact, top 9% 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

13 citing papers in PubMed, 7 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Kai FengDepartment of Surgical, Hebei Medical University, Shijiazhuang 050011, Hebei, China.
Ya DiDepartment of Oncology, The First Hospital of Qinhuangdao, Qinhuangdao 066600, Hebei, China.
Meng HanBreast Surgery, The First Hospital of Qinhuangdao, Qinhuangdao 066600, Hebei, China.
Weitao YanBreast Surgery, The First Hospital of Qinhuangdao, Qinhuangdao 066600, Hebei, China.
Yimin WangDepartment of Surgical, Hebei Medical University, Shijiazhuang 050011, Hebei, China.
First Hospital of Qinhuangdao · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to explore the regulatory role of SORBS1 in macrophage polarization and the PI3K/AKT signaling pathway, as well as analyze its mechanism in epithelial-mesenchymal transition (EMT) of breast cancer cells. We established SORBS1-overexpressing and knockout cell lines and verified the effects of SORBS1 on cell viability, invasion, and migration by phenotyping experiments and assaying the expression of associated proteins. Furthermore, we established a breast cancer cell and macrophage co-culture system to validate the effect of SORBS1 expression on macrophage polarization and killing of breast cancer cells. Bioinformatics analysis showed that SORBS1 was lowly expressed in breast cancer (BRCA) samples and highly expressed in healthy tissues. Decreased SORBS1 expression was associated with poor prognosis, and the PI3K/AKT signaling pathway was the most significantly enriched pathway.

Indexed as

Breast NeoplasmsProto-Oncogene Proteins c-aktCell Line, TumorCell MovementCell ProliferationEpithelial-Mesenchymal TransitionFemaleHumansMacrophagesMicrofilament ProteinsPhosphatidylinositol 3-KinasesSignal TransductionMicrofilament ProteinsPhosphatidylinositol 3-KinasesProto-Oncogene Proteins c-aktSORBS1 protein, humanbreast cancer cellsepithelial mesenchymal transitionmacrophage polarizationPI3K/AKT signaling pathwaySORBS1

Identifiers

PMID38451194
PMCPMC10968685
OpenAlexW4392517243

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.