Evidence map›Paper›PMID 25093085›Full record

ArticleJournal of thoracic disease2014

Clinicopathological variables predicting HER-2 gene status in immunohistochemistry-equivocal (2+) invasive breast cancer.

Yongling Ji, Liming Sheng, Xianghui Du, Guoqin Qiu, Bo Chen, Xiaojia Wang

Open access · greenAbstract read
In one paragraph

Article in Journal of thoracic disease, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.7field-weighted citation impact, top 27% 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, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Predicting Effects of Clinicopathological Variables onIranian journal of pathology · 2020
    Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Concordance of immunohistochemistry and fluorescenceInternational journal of clinical and experimental pathology · 2017
    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

6 authors at 1 institution in 1 country.

Yongling Ji1 Department of Radiation Therapy, 2 Department of Pathology, 3 Department of Medical Oncology, Zhejiang Cancer Hospital, Hangzhou 310022, China.
Liming Sheng1 Department of Radiation Therapy, 2 Department of Pathology, 3 Department of Medical Oncology, Zhejiang Cancer Hospital, Hangzhou 310022, China.
Xianghui Du1 Department of Radiation Therapy, 2 Department of Pathology, 3 Department of Medical Oncology, Zhejiang Cancer Hospital, Hangzhou 310022, China.
Guoqin Qiu1 Department of Radiation Therapy, 2 Department of Pathology, 3 Department of Medical Oncology, Zhejiang Cancer Hospital, Hangzhou 310022, China.
Bo Chen1 Department of Radiation Therapy, 2 Department of Pathology, 3 Department of Medical Oncology, Zhejiang Cancer Hospital, Hangzhou 310022, China.
Xiaojia Wang1 Department of Radiation Therapy, 2 Department of Pathology, 3 Department of Medical Oncology, Zhejiang Cancer Hospital, Hangzhou 310022, China.
Zhejiang Cancer Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectiveHuman epidermal growth factor receptor-2 (HER-2) gene status is crucial to guide treatment decisions regarding the use of HER-2-targeted therapies in breast cancer. An invasive breast cancer with HER-2 2+ score is regarded as HER-2 status equivocal and should further determine by fluorescent in situ hybridization (FISH), which is considered the standard test for HER-2 status. Here, we aimed to establish a risk score to allow for prediction of the presence of HER-2 gene status.

methodsA total of 182 HER-2 2+ by immunohistochemistry (IHC) invasive breast cancer cases were enrolled in this study. The association between clinicopathological variables like age, sex, tumor grade, hormone receptor (HR) status, P53 and proliferation index (Ki67), and FISH result using US Food and Drug Administration (FDA) criteria was evaluated. Also, we compared the HER-2 FISH results using FDA criteria and 2013 American Society of Clinical Oncology/College of American Pathologists (ASCO/CAP) guideline.

resultsThe study population had a median age of 48 years (range, 29-78 years). Estrogen receptor (ER) was expressed in 131 (72.0%) patients. 73.1% of patients (133/182) were progesterone receptor (PR) positive. The median Ki67 value was 20% (range, 3-90%). There was good agreement between the FDA and 2013 ASCO/CAP guideline. Sixty-three of all patients were HER-2 FISH amplified (positive) based on FDA criteria. Tumors with HER-2 amplified were more likely to harbor ER negative (58.8% vs. 25.2%, P<0.001) or PR negative (57.1% vs. 26.3%, P<0.001) or P53 negative (44.8% vs. 29.8%, P=0.048). A significant high level of Ki67 was detected in HER-2 amplified groups (P=0.006). We created a risk score that comprised HR, P53 and Ki67. A significant association between risk score and HER-2 FISH amplification was observed (χ(2)=30.41, P<0.001).

conclusionsThis novel immunohistochemical risk score could be highly useful to predict the presence of HER-2 gene status in invasive breast cancer.

Indexed as

fluorescent in situ hybridization (FISH)human epidermal growth factor receptor-2 (HER-2)immunohistochemistry (IHC)Invasive breast cancerprediction

Identifiers

PMID25093085
PMCPMC4120177
OpenAlexW2176320947

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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.