Evidence map›Paper›PMID 33023190›Full record

ArticleVaccines2020

Characteristics of a Novel Target Antigen Against Myeloma Cells for Immunotherapy.

Maiko Matsushita, Saku Saito, Shinya Yokoe, Daiju Ichikawa, Yutaka Hattori

Open access · goldAbstract read
In one paragraph

Article in Vaccines, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 91% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

5 authors at 1 institution in 1 country.

Maiko MatsushitaDivision of Clinical Physiology and Therapeutics, Keio University, Faculty of Pharmacy, Tokyo 105-8512, Japan.
Saku SaitoDivision of Clinical Physiology and Therapeutics, Keio University, Faculty of Pharmacy, Tokyo 105-8512, Japan.
Shinya YokoeDivision of Clinical Physiology and Therapeutics, Keio University, Faculty of Pharmacy, Tokyo 105-8512, Japan.
Daiju IchikawaDivision of Clinical Physiology and Therapeutics, Keio University, Faculty of Pharmacy, Tokyo 105-8512, Japan.
Yutaka HattoriDivision of Clinical Physiology and Therapeutics, Keio University, Faculty of Pharmacy, Tokyo 105-8512, Japan.
Keio University · JP

Funding

Development Program of the Ministry of Education, Culture, Sports, Science and Technology (MEXT) of Japan 17K09940,18K07331,20K08763Friends of Leukaemia Research Fund. 2018Keio Gijuku Academic Development Funds 003174
6 · The paper itself

Abstract

Despite the availability of therapeutic treatments, multiple myeloma is an incurable haematological disorder. In this study, we aimed to clarify the role of CXorf48 as a therapeutic target in multiple myeloma. Based on a previously identified HLA-A*24:02-restiricted epitope from this novel cancer/testis antigen, we characterized the activities of cytotoxic T lymphocytes (CTLs) specific to this antigen against myeloma cells and evaluated the effects of demethylating agents in increasing antigen expression and enhancing the cytotoxic activity of CTLs. CXorf48 expression was examined by reverse transcription polymerase chain reaction (RT-PCR) using nine myeloma cell lines. Cell lines with low CXorf48 expression were treated by demethylating agents (DMAs), 5-azacytidine (5-aza), and 5-aza-2'-deoxycytidine (DAC) to evaluate gene expression using quantitative RT-PCR. Furthermore, CXorf48-specific CTLs were induced from peripheral blood mononuclear cells of HLA-A*24:02-positive healthy donors to evaluate antigen recognition using ELISpot and

Indexed as

antigendemethylating agentsmyeloma

Identifiers

PMID33023190
PMCPMC7712752
OpenAlexW3081119054

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.