Evidence map›Paper›PMID 28409241›Full record

ArticleBreast cancer research and treatment2017

MMP11 and CD2 as novel prognostic factors in hormone receptor-negative, HER2-positive breast cancer.

Jinil Han, Yoon-La Choi, Haein Kim, Jun Young Choi, Se Kyung Lee, Jeong Eon Lee, Joon-Seok Choi, Sarah Park, Jong-Sun Choi, Young Deug Kim and 4 more

Open access · hybridAbstract read
In one paragraph

Article in Breast cancer research and treatment, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
1.2field-weighted citation impact, top 24% 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

29 citing papers in PubMed, 42 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

14 authors at 7 institutions in 1 country.

Jinil HanGencurix, Inc., Seoul, 08394, Korea.
Yoon-La ChoiLaboratory of Cancer Genomics and Molecular Pathology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, 06356, Korea.
Haein KimLaboratory of Molecular Pathology and Cancer Genomics, Department of Pharmacy, College of Pharmacy, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul, 08826, Korea.
Jun Young ChoiLaboratory of Molecular Pathology and Cancer Genomics, Department of Pharmacy, College of Pharmacy, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul, 08826, Korea.
Se Kyung LeeDepartment of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, 06356, Korea.
Jeong Eon LeeDepartment of Health Sciences and Technology, SAIHST, Sungkyunkwan University, Seoul, 06356, Korea.
Joon-Seok ChoiCollege of Pharmacy, Catholic University of Daegu, Gyeongbuk, 38430, 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.
Young Deug KimR&D center, ABION Inc., Seoul, 08394, Korea.
Seok Jin NamDepartment of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, 06356, Korea.
Byung-Ho NamDepartment of Cancer Control and Policy, Graduate School of Cancer Science and Policy, National Cancer Center, Goyang, Gyeonggi-do, 10408, Korea.
Mi Jeong KwonCollege of Pharmacy, Kyungpook National University, 80 Daehak-ro, Buk-gu, Daegu, 41566, Korea. mjkwon94@knu.ac.kr.
Young Kee ShinLaboratory of Molecular Pathology and Cancer Genomics, Department of Pharmacy, College of Pharmacy, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul, 08826, Korea. ykeeshin@snu.ac.kr.
Seoul National University · KRSamsung Medical Center · KRCatholic University of Daegu · KRGeneMatrix (South Korea) · KRKyungpook National University · KRNational Cancer Center · KRSungkyunkwan University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeMore accurate prediction of patient outcome based on molecular subtype is required to identify patients who will benefit from specific treatments.

methodsWe selected novel 16 candidate prognostic genes, including 10 proliferation-related genes (p-genes) and 6 immune response-related genes (i-genes), from the gene list identified in our previous study. We then analyzed the association between their expression, measured by quantitative real-time reverse transcription-PCR in formalin-fixed, paraffin-embedded tissues, and clinical outcome in 819 breast cancer patients according to molecular subtype.

resultsThe prognostic significance of clinical and gene variables varied according to the molecular subtype. Univariate analysis showed that positive lymph node status was significantly correlated with the increased risk of distant metastasis in all subtypes except the hormone receptor-negative, HER2-positive (HR-/HER2+) subtype. Most p-genes were significantly associated with poor prognosis in patients with the HR+/HER2- subtype, whereas i-genes correlated with a favorable outcome in patients with HR-/HER2+ breast cancer. In HR-/HER2+ breast cancer, four genes (three i-genes BTN3A2, CD2, and TRBC1 and the p-gene MMP11) were significantly associated with distant metastasis-free survival (DMFS). A new prognostic model for HR-/HER2+ breast cancer based on the expression of MMP11 and CD2 was developed and the DMFS for patients in the high-risk group according to our model was significantly lower than that for those in the low-risk group. Multivariate analyses revealed that our risk score is an independent prognostic factor for DMFS. Moreover, C-index showed that our risk score has a superior prognostic performance to traditional clinicopathological factors.

conclusionsOur new prognostic model for HR-/HER2+ breast cancer provides more accurate information on the risk of distant metastasis than traditional clinical prognostic factors and may be used to identify patients with a good prognosis in this aggressive subtype of breast cancer.

Indexed as

PrognosisAdultAgedAged, 80 and overBiomarkers, TumorBreast NeoplasmsCD2 AntigensCell ProliferationDisease-Free SurvivalErb-b2 Receptor Tyrosine KinasesFemaleGene Expression Regulation, NeoplasticHumansImmunity, InnateLymphatic MetastasisMatrix Metalloproteinase 11Biomarkers, TumorCD2 AntigensERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesMatrix Metalloproteinase 11MMP11 protein, humanBreast cancerHER2-positive (HR−/HER2+) breast cancerHormone receptor-negativeImmune response-related genes (i-genes)Prognostic modelProliferation-related genes (p-genes)Risk of distant metastasis

Identifiers

PMID28409241
PMCPMC5487710
OpenAlexW2605399321

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LicenceCC BY
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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.