Evidence map›Paper›PMID 26045997›Full record

ArticleAmerican journal of cancer research2015

Elevated expression of HABP1 is correlated with metastasis and poor survival in breast cancer patients.

Ming Niu, Shanshan Sun, Guoqiang Zhang, Yashuang Zhao, Da Pang, Yanbo Chen

Open access · greenAbstract read
In one paragraph

Article in American journal of cancer research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

15 citing papers in PubMed, 18 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

6 authors at 1 institution in 1 country.

Ming NiuDepartment of Breast Surgery, The Affiliated Tumor Hospital of Harbin Medical University Harbin, Heilongjiang 150081, China.
Shanshan SunDepartment of Breast Surgery, The Affiliated Tumor Hospital of Harbin Medical University Harbin, Heilongjiang 150081, China.
Guoqiang ZhangDepartment of Breast Surgery, The Affiliated Tumor Hospital of Harbin Medical University Harbin, Heilongjiang 150081, China.
Yashuang ZhaoDepartment of Epidemiology, Public Health College, Harbin Medical University Harbin, Heilongjiang 150081, China.
Da PangDepartment of Breast Surgery, The Affiliated Tumor Hospital of Harbin Medical University Harbin, Heilongjiang 150081, China.
Yanbo ChenDepartment of Breast Surgery, The Affiliated Tumor Hospital of Harbin Medical University Harbin, Heilongjiang 150081, China.
Harbin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hyaluronan-binding protein 1 (HABP1) is a protein with high affinity for HA, and has been reported to be upregulated in cancer cells. In this study, we show that silencing HABP1 inhibits proliferation, and suppresses the migration and invasion ability of breast cancer cell lines. In addition, silencing HABP1 remarkably slows down tumor growth in mice. We examined the correlation between HABP1 expression and clinicopathological parameters using immunohistochemistry in patients with breast cancer. The results indicate that HABP1 is overexpressed in cancer tissue, and its high levels are related to lymph node metastasis (P = 0.032) and tumor stage (P = 0.041). Moreover, high HABP1 expression is correlated with poor overall survival in breast cancer patients (P = 0.018), and is a signifi cant independent prognostic indicator. Our fi ndings suggest that HABP1 regulates proliferation and migration of breast cancer cells. HABP1 may be a useful independent predictor of outcomes in patients with breast cancer.

Indexed as

breast cancerHABP1metastasis

Identifiers

PMID26045997
PMCPMC4449446
OpenAlexW2410207560

What OpenQuestion holds

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Registered trials

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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.