Evidence map›Paper›PMID 36533385›Full record

ArticleCancer medicine2023

RMI2 is a novel prognostic and predictive biomarker for breast cancer.

Lijie Zhang, Chuncheng Hao, Baojuan Han, Guangchun Zeng, Lili Han, Cong Cao, Hui Liu, Zhenbin Zhong, Xue Zhao, Jingxuan Wang and 1 more

Open access · goldAbstract read
In one paragraph

Article in Cancer medicine, 2023. 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
0.6field-weighted citation impact, top 35% 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. Article
  3. Article
  4. Article
  5. Article
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

11 authors at 1 institution in 1 country.

Lijie ZhangDepartment of Medical Oncology, Harbin Medical University Cancer Hospital, Harbin, China.
Chuncheng HaoDepartment of Head and Neck Radiation Oncology, Harbin Medical University Cancer Hospital, Harbin, China.
Baojuan HanDepartment of Medical Oncology, Harbin Medical University Cancer Hospital, Harbin, China.
Guangchun ZengDepartment of Pathology, Harbin Medical University Cancer Hospital, Harbin, China.
Lili HanDepartment of Orthopedic Surgery, The First Hospital of Suihua, Suihua, China.
Cong CaoDepartment of Medical Oncology, Harbin Medical University Cancer Hospital, Harbin, China.
Hui LiuDepartment of Head and Neck Radiation Oncology, Harbin Medical University Cancer Hospital, Harbin, China.
Zhenbin ZhongDepartment of Head and Neck Radiation Oncology, Harbin Medical University Cancer Hospital, Harbin, China.
Xue ZhaoDepartment of Head and Neck Radiation Oncology, Harbin Medical University Cancer Hospital, Harbin, China.
Jingxuan WangDepartment of Medical Oncology, Harbin Medical University Cancer Hospital, Harbin, China.
Qingyuan ZhangDepartment of Medical Oncology, Harbin Medical University Cancer Hospital, Harbin, China.ORCID 0000-0002-1763-9412
Harbin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRecQ-mediated genome instability 2 (RMI2) maintains genome stability by promoting DNA damage repair. It has been reported to accelerate the progression of several tumors. However, the functional mechanism of RMI2 in breast cancer remains unclear.

methodsGene expression profiles were obtained from TCGA, GTEx, and GEO databases. The expression of RMI2 and its prognostic value in breast cancer was explored. In addition, we calculated pooled standardized mean deviation (SMD) and performed a summary receiver operating characteristic (sROC) curve analysis to further determine RMI2 expression status and diagnostic significance. The functions and related signaling pathways were investigated based on GO and KEGG analyses. The PPI network was constructed by combining the STRING database and Cytoscape software. Subsequently, in vitro assays were conducted to detect the effect of RMI2 on the proliferation and migration of breast cancer cells.

resultsThe expression of RMI2 was markedly upregulated in breast cancer tissues relative to that in normal tissues. Moreover, pooled SMD further confirmed the overexpression of RMI2 in breast cancer (SMD = 1.29, 95% confidence interval (CI): 1.18-1.41, p = 0.000). The sROC curve analysis result suggested that RMI2 had a relatively high diagnostic ability in breast cancer (AUC = 0.87, 95% CI: 0.84-0.90). High RMI2 expression was associated with poor prognosis. GO and KEGG analyses revealed that RMI2 was closely related to cell adhesion, various enzyme activities, and PI3K/AKT signaling pathway. PPI analysis showed that RMI2 had interactions with proteins involved in DNA damage repair. knockdown of RMI2 remarkably inhibited the proliferation and migration of breast cancer cells, while overexpression of RMI2 exerted the opposite effects. Furthermore, we identified that RMI2 accelerates the proliferation and migration of breast cancer cells via activation of the PI3K/AKT pathway.

conclusionThe results suggest that RMI2 is a potential diagnostic and prognostic biomarker associated with cell proliferation and migration, and may be used as a novel therapeutic target for breast cancer in the future.

Indexed as

Breast NeoplasmsBiomarkers, TumorDNA-Binding ProteinsFemaleHumansPhosphatidylinositol 3-KinasesPrognosisProto-Oncogene Proteins c-aktBiomarkers, TumorDNA-Binding ProteinsPhosphatidylinositol 3-KinasesProto-Oncogene Proteins c-aktRMI2 protein, humanbreast cancermigrationprognosisproliferationRMI2

Identifiers

PMID36533385
PMCPMC10134310
OpenAlexW4311933218

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.