Evidence map›Paper›PMID 25178941›Full record

Trial reportMedical oncology (Northwood, London, England)2014

HBXIP expression predicts patient prognosis in breast cancer.

Daye Cheng, Bin Liang, Yunhui Li

Abstract readClinical Trial
PubMed Publisher
In one paragraph

Trial report in Medical oncology (Northwood, London, England), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 18% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
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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

3 authors at 3 institutions in 1 country.

Daye ChengDepartment of Transfusion, The First Hospital of China Medical University, North Nanjing Street, No. 155, Shenyang, People's Republic of China, chengdysy@sina.com.
Bin Liang
Yunhui Li
China Medical University · CNFirst Hospital of China Medical University · CNShenyang 242 Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Emerging evidence demonstrated that hepatitis B virus X-interacting protein (HBXIP) has broad roles in cancers. The aim of the study is to investigate the association between HBXIP expression and clinicopathological features of breast cancer patients so as to determine whether HBXIP protein may be correlated with poor prognosis in breast cancer patients. HBXIP protein expression was assessed in a well-characterized series of breast cancer (n=196) with long-term follow-up, using immunohistochemistry method. Correlation between HBXIP expression and clinicopathological factors was analyzed. The effects of several variables on survival were tested by a Cox proportional hazards regression analysis. High HBXIP expression was predominantly observed in breast cancer tissues but not the adjacent normal breast tissues. The expression of HBXIP was high in 125 (63.8%) of the 196 cancer patients and low in 71 (36.2%) of the 196 patients, respectively. High HBXIP expression was positively correlated with TNM stage (P=0.001), lymph node metastasis (P<0.001), and Ki67 expression (P=0.002). The patients with high HBXIP expression had lower 5-year overall survival (OS) and disease-free survival (DFS) rates than those with low HBXIP expression as determined using the Kaplan-Meier method (OS: P=0.006; DFS: P=0.022). In Cox regression analysis, both HBXIP expression (P=0.002 and P=0.009, respectively) and lymph node metastasis (P<0.001 and P=0.008, respectively) were associated with poor OS and DFS. Our study suggested that high HBXIP is associated with the progression of breast cancer. HBXIP could be a valuable prognostic marker as well as a potential molecular therapy target for breast cancer patients.

Indexed as

Adaptor Proteins, Signal TransducingAdultAgedBiomarkers, TumorBreast NeoplasmsDisease-Free SurvivalFemaleHumansImmunohistochemistryKi-67 AntigenLymphatic MetastasisMiddle AgedNeoplasm ProteinsNeoplasm StagingPrognosisSurvival RateAdaptor Proteins, Signal TransducingBiomarkers, TumorKi-67 AntigenLAMTOR5 protein, humanNeoplasm Proteins

Identifiers

PMID25178941
OpenAlexW1999095844

What OpenQuestion holds

Textmetadata
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.