Evidence map›Paper›PMID 30510916›Full record

ArticleFrontiers in oncology2018

Serum Level of Soluble CD163 May Be a Predictive Marker of the Effectiveness of Nivolumab in Patients With Advanced Cutaneous Melanoma.

Taku Fujimura, Yota Sato, Kayo Tanita, Yumi Kambayashi, Atsushi Otsuka, Yasuhiro Fujisawa, Koji Yoshino, Shigeto Matsushita, Takeru Funakoshi, Hiroo Hata and 12 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.0field-weighted citation impact, top 10% 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

17 citing papers in PubMed, 32 citations in OpenAlex.

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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 9 institutions in 1 country.

Taku FujimuraDepartment of Dermatology, Tohoku University Graduate School of Medicine, Sendai, Japan.
Yota SatoDepartment of Dermatology, Tohoku University Graduate School of Medicine, Sendai, Japan.
Kayo TanitaDepartment of Dermatology, Tohoku University Graduate School of Medicine, Sendai, Japan.
Yumi KambayashiDepartment of Dermatology, Tohoku University Graduate School of Medicine, Sendai, Japan.
Atsushi OtsukaDepartment of Dermatology, Kyoto University Graduate School of Medicine, Kyoto, Japan.
Yasuhiro FujisawaDepartment of Dermatology, Faculty of University of Tsukuba, Tsukuba, Japan.
Koji YoshinoDepartment of Dermatology, Tokyo Metropolitan Cancer and Infectious Disease Center Komagome Hospital, Tokyo, Japan.
Shigeto MatsushitaDepartment of Dermato-Oncology, Dermatology, National Hospital Organization Kagoshima Medical Center, Kagoshima, Japan.
Takeru FunakoshiDepartment of Dermatology, Keio University School of Medicine, Tokyo, Japan.
Hiroo HataDepartment of Dermatology, Hokkaido University Graduate School of Medicine, Sapporo, Japan.
Yuki YamamotoDepartment of Dermatology, Wakayama Medical University, Wakayama, Japan.
Hiroshi UchiDepartment of Dermatology, Kyushu University Graduate School of Medicine, Fukuoka, Japan.
Yumi NonomuraDepartment of Dermatology, Kyoto University Graduate School of Medicine, Kyoto, Japan.
Ryota TanakaDepartment of Dermatology, Faculty of University of Tsukuba, Tsukuba, Japan.
Megumi AokiDepartment of Dermato-Oncology, Dermatology, National Hospital Organization Kagoshima Medical Center, Kagoshima, Japan.
Keisuke ImafukuDepartment of Dermatology, Hokkaido University Graduate School of Medicine, Sapporo, Japan.
Hisako OkuhiraDepartment of Dermatology, Wakayama Medical University, Wakayama, Japan.
Naoko WadaDepartment of Dermatology, Kyushu University Graduate School of Medicine, Fukuoka, Japan.
Hiroyuki IrieDepartment of Dermatology, Kyoto University Graduate School of Medicine, Kyoto, Japan.
Takanori HidakaDepartment of Dermatology, Tohoku University Graduate School of Medicine, Sendai, Japan.
Akira HashimotoDepartment of Dermatology, Tohoku University Graduate School of Medicine, Sendai, Japan.
Setsuya AibaDepartment of Dermatology, Tohoku University Graduate School of Medicine, Sendai, Japan.
Tohoku University · JPKyoto University · JPHokkaido University · JPKyushu University · JPNational Hospital Organization · JPUniversity of Tsukuba · JPWakayama Medical University · JPKeio University · JPTokyo Metropolitan Komagome Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antibodies against programmed cell death protein 1, such as nivolumab and pembrolizumab, are widely used for treating various cancers, including advanced melanoma. Nivolumab significantly prolongs survival in patients with metastatic melanoma, and sequential administration with lipilimumab may improve outcomes when switched at the appropriate time. Biomarkers are therefore needed to evaluate nivolumab efficacy soon after first administration. This study analyzed serum levels of soluble cluster of differentiation 163 (sCD163) in 59 cases of advanced cutaneous melanoma and 16 cases of advanced mucosal melanoma treated using nivolumab. Serum levels of sCD163 were significantly increased after 6 weeks in responders compared to non-responders after initial administration of nivolumab for cutaneous melanoma. In contrast, no significant difference between responders and non-responders was seen among patients with non-cutaneous melanoma. These results suggest that sCD163 may be useful as a biomarker for selecting patients with advanced cutaneous melanoma most likely to benefit from anti-melanoma immunotherapy.

Indexed as

melanomanivolumabprediction of efficacysCD163TAMs

Identifiers

PMID30510916
PMCPMC6252386
OpenAlexW2900818500

What OpenQuestion holds

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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.