Evidence map›Paper›PMID 34532603›Full record

ArticleGlobal health & medicine2021

A newly established monoclonal antibody against ERCC1 detects major isoforms of ERCC1 in gastric cancer.

Takayuki Oishi, Yuka Sasaki, Ying Tong, Lichao Chen, Takae Onodera, Satoru Iwasa, Emiko Udo, Bungo Furusato, Hiroaki Fujimori, Shoji Imamichi and 9 more

Open access · bronzeAbstract read
In one paragraph

Article in Global health & medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 52% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
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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

19 authors at 6 institutions in 2 countries.

Takayuki OishiDepartment of Molecular and Genomic Biomedicine, Center for Bioinformatics and Molecular Medicine, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan.
Yuka SasakiDepartment of Molecular and Genomic Biomedicine, Center for Bioinformatics and Molecular Medicine, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan.
Ying TongDepartment of Molecular and Genomic Biomedicine, Center for Bioinformatics and Molecular Medicine, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan.
Lichao ChenDepartment of Molecular and Genomic Biomedicine, Center for Bioinformatics and Molecular Medicine, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan.
Takae OnoderaDepartment of Molecular and Genomic Biomedicine, Center for Bioinformatics and Molecular Medicine, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan.
Satoru IwasaGastrointestinal Medical Oncology Division, National Cancer Center Hospital, Tokyo, Japan.
Emiko UdoDepartment of Pathology, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan.
Bungo FurusatoDepartment of Pathology, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan.
Hiroaki FujimoriDepartment of Frontier Life Sciences, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan.
Shoji ImamichiDepartment of Molecular and Genomic Biomedicine, Center for Bioinformatics and Molecular Medicine, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan.
Takuya HondaDepartment of Gastroenterology and Hepatology, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan.
Tadayoshi BesshoEppley Institute for Research in Cancer and Allied Diseases, University of Nebraska Medical Center, Omaha, Nebraska, USA.
Junya FukuokaDepartment of Pathology, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan.
Kazuto AshizawaCancer Genomics Unit, Clinical Genomics Center, Nagasaki University Hospital, Nagasaki, Japan.
Kazuyoshi YanagiharaDivision of Biomarker Discovery, Exploratory Oncology Research and Clinical Trial Center, National Cancer Center, Tokyo, Japan.
Kazuhiko NakaoDepartment of Gastroenterology and Hepatology, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan.
Yasuhide YamadaDepartment of Medical Oncology, Hamamatsu University School of Medicine, Hamamatsu, Japan.
Nobuyoshi HiraokaDivision of Pathology, National Cancer Center Hospital, Tokyo, Japan.
Mitsuko MasutaniDepartment of Molecular and Genomic Biomedicine, Center for Bioinformatics and Molecular Medicine, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan.
Nagasaki University · JPHamamatsu University School of Medicine · JPNagasaki University Hospital · JPNational Cancer Center Hospital East · JPTokyo National Hospital · JPUniversity of Nebraska Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Identifying patients resistant to cisplatin treatment is expected to improve cisplatin-based chemotherapy for various types of cancers. Excision repair cross-complementing group 1 (ERCC1) is involved in several repair processes of cisplatin-induced DNA crosslinks. ERCC1 overexpression is reported as a candidate prognostic factor and considered to cause cisplatin resistance in major solid cancers. However, anti-ERCC1 antibodies capable of evaluating expression levels of ERCC1 in clinical specimens were not fully optimized. A mouse monoclonal antibody against human ERCC1 was generated in this study. The developed antibody 9D11 specifically detected isoforms of 201, 202, 203 but not 204, which lacks the exon 3 coding region. To evaluate the diagnostic usefulness of this antibody, we have focused on gastric cancer because it is one of the major cancers in Japan. When ERCC1 expression was analyzed in seventeen kinds of human gastric cancer cell lines, all the cell lines were found to express either 201, 202, and/or 203 as major isoforms of ERCC1, but not 204 by Western blotting analysis. Immunohistochemical staining showed that ERCC1 protein was exclusively detected in nuclei of the cells and a moderate level of constant positivity was observed in nuclei of vascular endothelial cells. It showed a clear staining pattern in clinical specimens of gastric cancers. Antibody 9D11 may thus be useful for estimating expression levels of ERCC1 in clinical specimens.

Indexed as

cisplatinexcision repair cross-complementing group 1gastric tumorpredictive biomarker

Identifiers

PMID34532603
PMCPMC8403263
OpenAlexW3164752559

What OpenQuestion holds

Textmetadata
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.