Evidence map›Paper›PMID 38482450›Full record

ArticleTranslational cancer research2024

Overexpression of KLHL22 correlates with poor prognosis in patients with triple-negative breast cancer.

Tianzhi Zhang, Jiani Liu, Jin Wang, Chao Zhang

Open access · diamondAbstract read
In one paragraph

Article in Translational cancer research, 2024. 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 98% 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 3 institutions in 1 country.

Tianzhi Zhang *Department of Pathology, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, China.
Jiani Liu *The Cancer Center of The Fifth Affiliated Hospital Sun Yat-sen University, Zhuhai, China.
Jin WangDepartment of Breast Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangzhou, China.
Chao ZhangDepartment of Pathology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangzhou, China.
Sun Yat-sen University · CNState Key Laboratory of Oncology in South ChinaSun Yat-sen University Cancer Center · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Kelch-like family member 22 ( Methods: Immunohistochemistry (IHC) was performed to examine the expression levels of KLHL22 in 146 patients with TNBC. The Chi-squared test was used to analyze the correlations between KLHL22 expression level and clinicopathological features, and the Kaplan-Meier survival analysis and Cox multivariate regression model were used to analyze the prognostic significance of KLHL22 in patients with TNBC. Results: The results of immunohistochemical analysis showed that the high expression rate of KLHL22 protein in TNBC was 56.85% (83/146). Further analysis revealed a significantly positive correlation (P<0.05) between KLHL22 expression and primary tumor and regional lymph node status, clinical stage, and relapse. Kaplan-Meier survival analysis revealed that patients with low KLHL22 expression had a longer mean survival time than those with high KLHL22 expression (147.93 Conclusions: The present study concludes that KLHL22 may serve as a biomarker for poor prognosis in patients with TNBC.

Indexed as

immunohistochemistry (IHC)Kelch-like family member 22 (KLHL22)prognosisTriple-negative breast cancer (TNBC)

Identifiers

PMID38482450
PMCPMC10928592
OpenAlexW4392301052

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.