Evidence map›Paper›PMID 32210254›Full record

ArticleScientific reports2020

HER2 as a potential biomarker of lymph node metastasis in undifferentiated early gastric cancer.

Sanghoon Han, Sungjin Park, Jungsuk An, Jun-Young Yang, Jun-Won Chung, Yoon Jae Kim, Kyoung Oh Kim, Dong Kyun Park, Kwang An Kwon, Woon Kee Lee and 2 more

Open access · goldAbstract readComparative Study
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.5field-weighted citation impact, top 15% 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

9 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Observational
  8. Article
  9. 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 3 institutions in 1 country.

Sanghoon HanDepartment of Internal Medicine, Jeju National University School of Medicine, Jeju, Korea.
Sungjin ParkCollege of Medicine, Gachon University, Incheon, Republic of Korea.ORCID http://orcid.org/0000-0003-3663-9220
Jungsuk AnDepartment of Pathology, Gachon University Gil Medical Center, Gachon University School of Medicine, Incheon, Republic of Korea.
Jun-Young YangDepartment of Surgery, Gachon University Gil Medical Center, Gachon University School of Medicine, Incheon, Republic of Korea.
Jun-Won ChungDepartment of Internal Medicine, Gachon University Gil Medical Center, Gachon University School of Medicine, Incheon, Republic of Korea.
Yoon Jae KimDepartment of Internal Medicine, Gachon University Gil Medical Center, Gachon University School of Medicine, Incheon, Republic of Korea.
Kyoung Oh KimDepartment of Internal Medicine, Gachon University Gil Medical Center, Gachon University School of Medicine, Incheon, Republic of Korea.
Dong Kyun ParkDepartment of Internal Medicine, Gachon University Gil Medical Center, Gachon University School of Medicine, Incheon, Republic of Korea.ORCID http://orcid.org/0000-0002-2862-6641
Kwang An KwonDepartment of Internal Medicine, Gachon University Gil Medical Center, Gachon University School of Medicine, Incheon, Republic of Korea.ORCID http://orcid.org/0000-0002-2947-2111
Woon Kee LeeDepartment of Surgery, Gachon University Gil Medical Center, Gachon University School of Medicine, Incheon, Republic of Korea.
Seungyoon NamCollege of Medicine, Gachon University, Incheon, Republic of Korea. seungyoon.nam@gmail.com.ORCID http://orcid.org/0000-0002-0966-7915
Jung Ho KimDepartment of Internal Medicine, Gachon University Gil Medical Center, Gachon University School of Medicine, Incheon, Republic of Korea. junghokimm@gilhospital.com.ORCID http://orcid.org/0000-0002-6944-473X
Gachon University · KRGachon University Gil Medical Center · KRJeju National University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human epidermal growth factor receptor 2 (HER2) is implicated in several cancers, including gastric cancer. However, limited data are available regarding its clinical significance in early gastric cancer (EGC). We evaluated the clinical significance of HER2 overexpression in patients with EGC. We retrospectively reviewed 727 patients who underwent surgical treatment for EGC between October 2010 and August 2017. HER2 expression was analysed in 680 EGC cases by immunohistochemistry and classified as negative (0 and 1+), equivocal (2+), or positive [overexpression (3+)]. Among patients with differentiated EGC, the number of patients with HER2 overexpression was not significantly different from that of HER2-negative patients in terms of age, sex, tumour size, location, gross type, depth of invasion, presence of lymphovascular invasion (LVI), and presence of lymph node metastasis (LNM). However, in patients with undifferentiated EGC, HER2 overexpression was significantly correlated with LVI and presence of LNM compared with HER2-negative patients. Multivariate analysis indicated HER2 overexpression as a good predictive marker of LNM in patients with undifferentiated EGC. HER2 expression is associated with LNM in undifferentiated EGC. Therefore, the importance of HER2 overexpression in EGC should not be overlooked, and further studies are needed to identify its clinical significance.

Indexed as

Genes, erbB-2AdenocarcinomaAgedBiomarkers, TumorCell DifferentiationDatasets as TopicErb-b2 Receptor Tyrosine KinasesFemaleGene Expression Regulation, NeoplasticHumansLymphatic MetastasisLymph Node ExcisionMaleMiddle AgedNeoplasm InvasivenessNeoplasm ProteinsBiomarkers, TumorERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesNeoplasm Proteins

Identifiers

PMID32210254
PMCPMC7093413
OpenAlexW3013689687

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.