Evidence map›Paper›PMID 30410677›Full record

ArticleOncotarget2018

Clinical impact of serum soluble SLAMF7 in multiple myeloma.

Mariko Ishibashi, Saori Soeda, Makoto Sasaki, Hiroshi Handa, Yoichi Imai, Norina Tanaka, Sakae Tanosaki, Shigeki Ito, Takeshi Odajima, Hiroki Sugimori and 12 more

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 2 pooled it
4.6field-weighted citation impact, top 5% 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

29 citing papers in PubMed, 2 syntheses or guidelines pooled it, 53 citations in OpenAlex.

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  19. Targeted Therapies for Multiple Myeloma.Journal of personalized medicine · 2021
    Review
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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

22 authors at 7 institutions in 1 country.

Mariko IshibashiDepartment of Hematology, Nippon Medical School, Tokyo, Japan.
Saori SoedaDepartment of Hematology, Nippon Medical School, Tokyo, Japan.
Makoto SasakiDivision of Hematology, Department of Internal Medicine, Juntendo University School of Medicine, Tokyo, Japan.
Hiroshi HandaDepartment of Hematology, Gunma University, Gunma, Japan.
Yoichi ImaiDepartment of Hematology and Oncology, IMSUT Hospital, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan.
Norina TanakaDepartment of Hematology, Tokyo Women's Medical University, Tokyo, Japan.
Sakae TanosakiDepartment of Hematology, The Fraternity Memorial Hospital, Tokyo, Japan.
Shigeki ItoDepartment of Clinical Oncology, Iwate Medical University School of Medicine, Iwate, Japan.
Takeshi OdajimaFaculty of Health Science, Daito Bunka University Graduate School of Sports and Health Science, Tokyo, Japan.
Hiroki SugimoriDepartment of Preventive Medicine, Daito Bunka University Graduate School of Sports and Health Science, Saitama, Japan.
Toshio AsayamaDepartment of Hematology, Nippon Medical School, Tokyo, Japan.
Mika SunakawaDepartment of Hematology, Nippon Medical School, Tokyo, Japan.
Yuta KaitoDepartment of Hematology, Nippon Medical School, Tokyo, Japan.
Ryosuke KinoshitaDepartment of Hematology, Nippon Medical School, Tokyo, Japan.
Yasuko KuribayashiDepartment of Hematology, Nippon Medical School, Tokyo, Japan.
Asaka OnoderaDepartment of Hematology, Nippon Medical School, Tokyo, Japan.
Keiichi MoriyaDepartment of Hematology, Nippon Medical School, Tokyo, Japan.
Junji TanakaDepartment of Hematology, Tokyo Women's Medical University, Tokyo, Japan.
Yutaka TsukuneDivision of Hematology, Department of Internal Medicine, Juntendo University School of Medicine, Tokyo, Japan.
Norio KomatsuDivision of Hematology, Department of Internal Medicine, Juntendo University School of Medicine, Tokyo, Japan.
Koiti InokuchiDepartment of Hematology, Nippon Medical School, Tokyo, Japan.
Hideto TamuraDepartment of Hematology, Nippon Medical School, Tokyo, Japan.
Nippon Medical School · JPJuntendo University · JPDaito Bunka University · JPTokyo Women's Medical University · JPGunma University · JPIwate Medical University · JPUniversity of Tokyo Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The signaling lymphocytic activation molecule family (SLAMF7; also known as CS1 or CD319) is highly expressed on plasma cells from multiple myeloma (MM) as well as natural killer (NK) cells and is a well-known therapeutic target of elotuzumab. The objective of this study was to evaluate the clinical significance of serum soluble SLAMF7 (sSLAMF7) levels in patients with MM (n=103) and furthermore the impact of sSLMF7 on the antitumor activity of anti-SLAMF7 antibody. Thirty-one percent of MM patients, but not patients with monoclonal gammopathy of undetermined significance and healthy controls, had detectable levels of serum sSLAMF7, which were significantly increased in advanced MM patients. Further, MM in sSLAMF7-postive patients exhibited aggressive clinical characteristics with shorter progression-free survival times in comparison with sSLAMF7-negative patients. In responders to MM therapy, the levels of sSLAMF7 were undetectable or decreased compared with those before treatment. In addition, the anti-SLAMF7 antibody-mediated antibody-dependent cellular cytotoxicity of NK cells against MM cell lines was inhibited by recombinant SLAMF7 protein. Thus, our findings suggest that high concentrations of sSLAMF7, which could transiently suppress the therapeutic effects of elotuzumab, may be a useful indicator of disease progression in MM patients.

Indexed as

CS1elotuzumabmultiple myelomaSLAMF7soluble form

Identifiers

PMID30410677
PMCPMC6205184
OpenAlexW2894567029

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.