Evidence map›Paper›PMID 31023265›Full record

ArticleBMC cancer2019

Efficacy of an RNA-based multigene assay with core needle biopsy samples for risk evaluation in hormone-positive early breast cancer.

Jeeyeon Lee, Eun Hye Lee, Ho Yong Park, Wan Wook Kim, Ryu Kyung Lee, Yee Soo Chae, Soo Jung Lee, Jee-Eun Kim, Byeong-Il Kang, Jee Young Park and 2 more

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.5field-weighted citation impact, top 43% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Imaging breast cancer using hyperpolarized carbon-13 MRI.Proceedings of the National Academy of Sciences of the United States of America · 2020
    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

12 authors at 2 institutions in 1 country.

Jeeyeon LeeDepartment of Surgery, School of Medicine, Kyungpook National University, Kyungpook National University Hospital, Daegu, Republic of Korea.
Eun Hye LeeDepartment of Pathology, School of Medicine, Kyungpook National University, Kyungpook National University Hospital, Daegu, Republic of Korea.
Ho Yong ParkDepartment of Surgery, School of Medicine, Kyungpook National University, Kyungpook National University Hospital, Daegu, Republic of Korea.
Wan Wook KimDepartment of Surgery, School of Medicine, Kyungpook National University, Kyungpook National University Hospital, Daegu, Republic of Korea.
Ryu Kyung LeeDepartment of Surgery, School of Medicine, Kyungpook National University, Kyungpook National University Hospital, Daegu, Republic of Korea.
Yee Soo ChaeDepartment of Hemato-Oncology, School of Medicine, Kyungpook National University, Kyungpook National University Hospital, Daegu, Republic of Korea.
Soo Jung LeeDepartment of Hemato-Oncology, School of Medicine, Kyungpook National University, Kyungpook National University Hospital, Daegu, Republic of Korea.
Jee-Eun KimR&D Center, Gencurix Inc., Seoul, Republic of Korea.
Byeong-Il KangR&D Center, Gencurix Inc., Seoul, Republic of Korea.
Jee Young ParkDepartment of Pathology, School of Medicine, Kyungpook National University, Kyungpook National University Hospital, Daegu, Republic of Korea.
Ji-Young ParkDepartment of Pathology, School of Medicine, Kyungpook National University, Kyungpook National University Hospital, Daegu, Republic of Korea. jyparkmd@knu.ac.kr.
Jin Hyang JungDepartment of Surgery, School of Medicine, Kyungpook National University, Kyungpook National University Hospital, Daegu, Republic of Korea. jjh01@knu.ac.kr.
Kyungpook National University Hospital · KRGeneMatrix (South Korea) · KR

Funding

Korea Health Industry Development Institute HI17C1142
6 · The paper itself

Abstract

backgroundGene expression profiling provides key information for prognosis of breast cancer to establish treatment strategy. However, the genetic assessment should be available before induction of treatment to be useful for clinical practice. To evaluate the reliability of using needle biopsy samples for gene assays, we compared gene-expression profiling results between core needle biopsy (CNB) samples and surgical specimens in breast cancer.

methodsThirty-one paired, formalin-fixed, paraffin-embedded CNB and surgical specimen samples were selected from patients with hormone receptor-positive breast cancer. Total RNA was extracted from the samples and the risk classifications based on GenesWell BCT scores were compared.

resultsThe BCT scores correlated between CNB samples and surgical specimens of hormone receptor-positive breast cancer (Pearson r = 0.66). The overall concordance rate of risk classification (high/low risk) was 83.9%. However, when the breast cancer does not contain intratumoral microcalcification, the concordance rate increased as 92.0%. And, when the breast cancer formed a solitary nodule (non-multifocal), the concordance rate increased up to 95.8%.

conclusionRisk classification using the GenesWell BCT multigene kit with CNB samples could be considered reliable, when the breast cancer is a solitary nodule without intratumoral microcalcification. Such genetic profiling results should be helpful for establishing a treatment plan for hormone receptor-positive breast cancer before treatment induction.

Indexed as

Risk AssessmentBiopsy, Large-Core NeedleBreastBreast NeoplasmsErb-b2 Receptor Tyrosine KinasesFemaleHumansMiddle AgedMultigene FamilyReceptors, EstrogenReceptors, ProgesteroneRNAErb-b2 Receptor Tyrosine KinasesReceptors, EstrogenReceptors, ProgesteroneRNABiopsyBreastCarcinomaGene

Identifiers

PMID31023265
PMCPMC6485070
OpenAlexW2947977582

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.