Evidence map›Paper›PMID 21880184›Full record

ArticleChinese journal of cancer2011

Overexpression of centromere protein H is significantly associated with breast cancer progression and overall patient survival.

Wen-Ting Liao, Yan Feng, Men-Lin Li, Guang-Lin Liu, Man-Zhi Li, Mu-Sheng Zeng, Li-Bing Song

Open access · bronzeAbstract read
In one paragraph

Article in Chinese journal of cancer, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.6field-weighted citation impact, top 15% 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

14 citing papers in PubMed, 23 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

7 authors at 2 institutions in 1 country.

Wen-Ting LiaoState Key Laboratory of Oncology in South China, Guangzhou, Guangdong 510060, P. R. China.
Yan Feng
Men-Lin Li
Guang-Lin Liu
Man-Zhi Li
Mu-Sheng Zeng
Li-Bing Song
State Key Laboratory of Oncology in South ChinaSouthern Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer is one of the leading causes of cancer death worldwide. This study aimed to analyze the expression of centromere protein H (CENP-H) in breast cancer and to correlate it with clinicopathologic data, including patient survival. Using reverse transcription-polymerase chain reaction and Western blotting to detect the expression of CENP-H in normal mammary epithelial cells, immortalized mammary epithelial cell lines, and breast cancer cell lines, we observed that the mRNA and protein levels of CENP-H were higher in breast cancer cell lines and in immortalized mammary epithelial cells than in normal mammary epithelial cells. We next examined CENP-H expression in 307 paraffin-embedded archived samples of clinicopathologically characterized breast cancer using immunohistochemistry, and detected high CENP-H expression in 134 (43.6%) samples. Statistical analysis showed that CENP-H expression was related with clinical stage (P = 0.001), T classification (P = 0.032), N classification (P = 0.018), and Ki-67 (P < 0.001). Patients with high CENP-H expression had short overall survival. Multivariate analysis showed that CENP-H expression was an independent prognostic indicator for patient survival. Our results suggest that CENP-H protein is a valuable marker of breast cancer progression and prognosis.

Indexed as

AdultAgedAged, 80 and overBlotting, WesternBreastBreast NeoplasmsCell LineCell Line, TumorChromosomal Proteins, Non-HistoneEpithelial CellsFemaleFollow-Up StudiesHumansKi-67 AntigenMiddle AgedNeoplasm MetastasisCENPH protein, humanChromosomal Proteins, Non-HistoneKi-67 AntigenRNA, Messenger

Identifiers

PMID21880184
PMCPMC4013325
OpenAlexW2005219055

What OpenQuestion holds

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LicenceCC BY-NC-SA
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.