Evidence map›Paper›PMID 29643991›Full record

ArticleOncotarget2018

Serum levels of soluble CD163 and CXCL5 may be predictive markers for immune-related adverse events in patients with advanced melanoma treated with nivolumab: a pilot study.

Taku Fujimura, Yota Sato, Kayo Tanita, Yumi Kambayashi, Atsushi Otsuka, Yasuhiro Fujisawa, Koji Yoshino, Shigeto Matsushita, Takeru Funakoshi, Hiroo Hata and 10 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 57 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed, 2 pooled it
4.9field-weighted citation impact, top 3% 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

57 citing papers in PubMed, 2 syntheses or guidelines pooled it, 89 citations in OpenAlex.

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  15. Pulmonary toxicity of immune checkpoint immunotherapy.The Journal of clinical investigation · 2024
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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

20 authors at 10 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.
Sadanori FurudateDepartment of Dermatology, Tohoku University Graduate School of Medicine, Sendai, Japan.
Takanori HidakaDepartment of Dermatology, Tohoku University Graduate School of Medicine, Sendai, Japan.
Setsuya AibaDepartment of Dermatology, Tohoku University Graduate School of Medicine, Sendai, Japan.
Tohoku University · JPHokkaido University · JPKyoto University · JPUniversity of Tsukuba · JPWakayama Medical University · JPKagoshima Medical Center · JPKeio University · JPKyushu University · JPNational Hospital Organization · JPTokyo Metropolitan Komagome Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antibodies against PD-1, such as nivolumab and pembrolizumab, are widely used in the treatment of various cancers including advanced melanoma. The anti-PD-1 Ab significantly prolongs survival in patients with metastatic melanoma, and its administration in combination with local or systemic therapy may also lead to improved outcomes. Although anti-PD-1 Ab-based combined therapy might be effective for the treatment of advanced melanoma, the associated risk of irAEs is an important consideration. Therefore, being able to predict irAEs is of great interest to oncologists. The purpose of this study was to evaluate the value of using serum levels of sCD163 and CXCL5 to predict irAEs in patients with advanced melanoma who were administered nivolumab. To this end, we analyzed these serum levels in 46 cases of advanced melanoma treated with nivolumab. In addition, the tumor stroma was evaluated by immunohistochemistry and immunofluorescence. We measured the serum levels of sCD163 and CXCL5 on day 0 (immediately before nivolumab administration) and day 42. The serum absolute levels of sCD163 were significantly increased in patients who developed AEs (

Indexed as

CXCL5melanomaPOSTNsCD163TAMs

Identifiers

PMID29643991
PMCPMC5884646
OpenAlexW2790360524

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.