Evidence map›Paper›PMID 24499297›Full record

ArticleMolecular cancer2014

The clinical value of the quantitative detection of four cancer-testis antigen genes in multiple myeloma.

Yao Zhang, Li Bao, Jin Lu, Kai-Yan Liu, Jin-Lan Li, Ya-Zhen Qin, Huan Chen, Ling-Di Li, Yuan Kong, Hong-Xia Shi and 6 more

Open access · goldAbstract read
In one paragraph

Article in Molecular cancer, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.5field-weighted citation impact, top 34% 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

6 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. MAGE genes: Prognostic indicators in AL amyloidosis patients.Journal of cellular and molecular medicine · 2019
    Article
  4. Article
  5. Article
  6. 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

16 authors at 2 institutions in 1 country.

Yao Zhang
Li Bao
Jin Lu
Kai-Yan Liu
Jin-Lan Li
Ya-Zhen Qin
Huan Chen
Ling-Di Li
Yuan Kong
Hong-Xia Shi
Yue-Yun Lai
Yan-Rong Liu
Bin Jiang
Shan-Shan Chen
Xiao-Jun HuangPeking University People's Hospital and Institute of Hematology, Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, No,11 Xi-Zhi-Men South Street, 100044 Beijing, China. xjhrm@medmail.com.cn.
Guo-Rui Ruan
Peking University · CNPeking University People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCancer-testis (CT) antigen genes might promote the progression of multiple myeloma (MM). CT antigens may act as diagnostic and prognostic markers in MM, but their expression levels and clinical implications in this disease are not fully understood. This study measured the expression levels of four CT antigen genes in Chinese patients with MM and explored their clinical implications.

methodsReal-time quantitative polymerase chain reaction (qPCR) was used to quantify the expression of MAGE-C1/CT7, MAGE-A3, MAGE-C2/CT10 and SSX-2 mRNA in 256 bone marrow samples from 144 MM patients.

resultsIn the newly diagnosed patients, the positive expression rates were 88.5% for MAGE-C1/CT7, 82.1% for MAGE-C2/CT10, 76.9% for MAGE-A3 and 25.6% for SSX-2. The expression levels and the number of co-expressed CT antigens correlated significantly with several clinical indicators, including the percentage of plasma cells infiltrating the bone marrow, abnormal chromosome karyotypes and the clinical course.

conclusionMAGE-C1/CT7, MAGE-A3, MAGE-C2/CT10 and SSX-2 expression levels provide potentially effective clinical indicators for the auxiliary diagnosis and monitoring of treatment efficacy in MM.

Indexed as

Antigens, NeoplasmBiomarkers, TumorFemaleFlow CytometryHumansMaleMiddle AgedMultiple MyelomaPrognosisReal-Time Polymerase Chain ReactionAntigens, NeoplasmBiomarkers, Tumor

Identifiers

PMID24499297
PMCPMC3922338
OpenAlexW2114436063

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.