Evidence map›Paper›PMID 28350001›Full record

ArticleScientific reports2017

A new molecular prognostic score for predicting the risk of distant metastasis in patients with HR+/HER2- early breast cancer.

Gyungyub Gong, Mi Jeong Kwon, Jinil Han, Hee Jin Lee, Se Kyung Lee, Jeong Eon Lee, Seon-Heui Lee, Sarah Park, Jong-Sun Choi, Soo Youn Cho and 8 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.1field-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

19 citing papers in PubMed, 29 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. 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

18 authors at 9 institutions in 2 countries.

Gyungyub GongDepartment of Pathology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, 05505, Korea.
Mi Jeong KwonCollege of Pharmacy, Kyungpook National University, Daegu, 41566, Korea.
Jinil HanGencurix, Inc., Seoul, 08394, Korea.
Hee Jin LeeDepartment of Pathology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, 05505, Korea.
Se Kyung LeeDepartment of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, 06356, Korea.
Jeong Eon LeeDepartment of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, 06356, Korea.
Seon-Heui LeeDepartment of Nursing Science, College of Nursing, Gachon University, Incheon, 21936, Korea.
Sarah ParkThe Center for Anti-cancer Companion Diagnostics, Bio-MAX/N-Bio, Seoul National University, Seoul, 08826, Korea.
Jong-Sun ChoiThe Center for Anti-cancer Companion Diagnostics, Bio-MAX/N-Bio, Seoul National University, Seoul, 08826, Korea.
Soo Youn ChoDepartment of Pathology and Translational Genomics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, 06356, Korea.
Sei Hyun AhnDepartment of Surgery, University of Ulsan College of Medicine, Asan Medical Center, Seoul, 05505, Korea.
Jong Won LeeDepartment of Surgery, University of Ulsan College of Medicine, Asan Medical Center, Seoul, 05505, Korea.
Sang Rae ChoGencurix, Inc., Seoul, 08394, Korea.
Youngho MoonGencurix, Inc., Seoul, 08394, Korea.
Byung-Ho NamDepartment of Cancer Control and Policy, Graduate School of Cancer Science and Policy, National Cancer Center, Goyang, Gyeonggi-do, 10408, Korea.
Seok Jin NamDepartment of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, 06356, Korea.
Yoon-La ChoiDepartment of Pathology and Translational Genomics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, 06356, Korea.
Young Kee ShinThe Center for Anti-cancer Companion Diagnostics, Bio-MAX/N-Bio, Seoul National University, Seoul, 08826, Korea.
GeneMatrix (South Korea) · KRSeoul National University · KRSungkyunkwan University · KRSamsung Medical Center · KRUniversity of Ulsan · KRAsan Medical Center · KRGachon University · KRKyungpook National University · KRNational Cancer Center · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To make an optimal treatment decision for early stage breast cancer, it is important to identify risk of recurrence. Here, we developed and validated a new prognostic model for predicting the risk of distant metastasis in patients with pN0-N1, hormone receptor-positive, HER2-negative (HR+/HER2-) breast cancer treated with hormone therapy alone. RNA was extracted from formalin-fixed, paraffin-embedded tumor tissues and gene expression was measured by quantitative real-time reverse transcription-PCR. The relative expression of six novel prognostic genes was combined with two clinical variables (nodal status and tumor size) to calculate a risk score (BCT score). In the validation cohort treated with hormone therapy alone, the 10 year rate of distant metastasis in the high-risk group (26.3%) according to BCT score was significantly higher than that in the low-risk group (3.8%) (P < 0.001). Multivariate analysis adjusted for clinical variables revealed that BCT score is an independent predictor of distant metastasis. Moreover, the C-index estimate revealed that BCT score has a prognostic power superior to that of prognostic models based on clinicopathological parameters. The BCT score outperforms prognostic models based on traditional clinicopathological factors and predicts the risk of distant metastasis in patients with HR+/HER2- early breast cancer.

Indexed as

Decision Support TechniquesBreast NeoplasmsErb-b2 Receptor Tyrosine KinasesFemaleGene Expression ProfilingHumansMiddle AgedNeoplasm MetastasisPathology, MolecularPrognosisReal-Time Polymerase Chain ReactionReverse Transcriptase Polymerase Chain ReactionTranscription FactorsERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesHR protein, humanTranscription Factors

Identifiers

PMID28350001
PMCPMC5368569
OpenAlexW2602838233

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.