Evidence map›Paper›PMID 25120768›Full record

ArticleInternational journal of clinical and experimental pathology2014

Overexpression of MAGE-D4 in colorectal cancer is a potentially prognostic biomarker and immunotherapy target.

Qing-Mei Zhang, Shu-Jia He, Ning Shen, Bin Luo, Rong Fan, Jun Fu, Guo-Rong Luo, Su-Fang Zhou, Shao-Wen Xiao, Xiao-Xun Xie

Abstract read
In one paragraph

Article in International journal of clinical and experimental pathology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. High expression ofJournal of gastrointestinal oncology · 2021
    Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Review
  14. Review
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

10 authors.

Qing-Mei ZhangDepartment of Histology and Embryology, School of Pre-clinical Medicine, Guangxi Medical University Nanning 530021, Guangxi Zhuang Autonomous Region, China.
Shu-Jia HeDepartment of Histology and Embryology, School of Pre-clinical Medicine, Guangxi Medical University Nanning 530021, Guangxi Zhuang Autonomous Region, China.
Ning ShenDepartment of Oral and Maxillofacial Surgery, The People's Hospital of Guangxi Zhuang Autonomous Region Nanning 530021, Guangxi Zhuang Autonomous Region, China.
Bin LuoDepartment of Histology and Embryology, School of Pre-clinical Medicine, Guangxi Medical University Nanning 530021, Guangxi Zhuang Autonomous Region, China.
Rong FanDepartment of Histology and Embryology, School of Pre-clinical Medicine, Guangxi Medical University Nanning 530021, Guangxi Zhuang Autonomous Region, China.
Jun FuDepartment of Histology and Embryology, School of Pre-clinical Medicine, Guangxi Medical University Nanning 530021, Guangxi Zhuang Autonomous Region, China.
Guo-Rong LuoDepartment of Histology and Embryology, School of Pre-clinical Medicine, Guangxi Medical University Nanning 530021, Guangxi Zhuang Autonomous Region, China.
Su-Fang ZhouDepartment of Histology and Embryology, School of Pre-clinical Medicine, Guangxi Medical University Nanning 530021, Guangxi Zhuang Autonomous Region, China.
Shao-Wen XiaoDepartment of Surgery, First Affiliated Hospital, Guangxi Medical University Nanning 530021, Guangxi Zhuang Autonomous Region, China.
Xiao-Xun XieDepartment of Histology and Embryology, School of Pre-clinical Medicine, Guangxi Medical University Nanning 530021, Guangxi Zhuang Autonomous Region, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Melanoma-associated antigen D4 (MAGE-D4) is a novel member of MAGE family. This study aimed to examine the expression and immunogenicity of MAGE-D4 in colorectal cancer (CRC) to determine its potential as a prognosis and immunotherapeutic target. The expression of MAGE-D4 mRNA and protein was determined by RT-PCR and immunohistochemistry (IHC) in CRCs with paired adjacent non-tumor tissues, colorectal adenomas and normal colorectal tissues, respectively. Sera from 64 CRC patients were tested for MAGE-D4 antibody by ELISA. MAGE-D4 mRNA was more frequently expressed in CRCs (76.7%, 46/60) than in adjacent non-tumor tissues (15.0%, 9/60). MAGE-D4 protein was detected in all the CRC tissues tested, 70.0% of which showed high expression. There was no MAGE-D4 protein detected in any paired adjacent non-tumor tissue. No MAGE-D4 expression was found in colorectal adenomas and normal colorectal tissues by either RT-PCR or immunohistochemistry. Patients with high MAGE-D4 protein expression had significantly shorter overall survival than those with low MAGE-D4 protein expression (median, 68.6 vs 122.2 months; P=0.030). Furthermore, multivariate analysis exhibited high MAGE-D4 protein expression had a trend toward an independent prognostic factor (hazard ratio: 6.124; P=0.050). Humoral immunity to MAGE-D4 was detected in 12 of 64 (18.8%) CRC patients' sera but not in 77 healthy donors. There was no correlation between MAGE-D4 expression, serum antibody and clinicopathological parameters. These findings suggest MAGE-D4 may serve as a potentially prognostic biomarker and an attractive target of immunotherapy in CRC.

Indexed as

AdultAgedAged, 80 and overAntigens, NeoplasmBiomarkers, TumorColorectal NeoplasmsEnzyme-Linked Immunosorbent AssayFemaleHumansImmunohistochemistryImmunotherapyKaplan-Meier EstimateMaleMiddle AgedNeoplasm ProteinsPrognosisAntigens, NeoplasmBiomarkers, TumorMAGED1 protein, humanNeoplasm Proteinscolorectal cancerMAGE-D4Melanoma-associated antigenserum immunoreactivity

Identifiers

PMID25120768
PMCPMC4129003

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.