Evidence map›Paper›PMID 37750513›Full record

ArticleIntegrative cancer therapies

Comparison of Plasma Metabolites From Patients With Non-Small Cell Lung Cancer by Erlotinib Treatment and Skin Rash.

Won Kil Lee, Jisoo Myong, Eunbin Kwag, Younmin Shin, Ji Woong Son, Byong Chul Yoo, Byoung-Soo Kim, Hwa-Seung Yoo, Jeong June Choi

Open access · goldAbstract read
In one paragraph

Article in Integrative cancer therapies. 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
0.3field-weighted citation impact, top 35% 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, 1 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

9 authors at 2 institutions in 1 country.

Won Kil LeeDaejeon University, Daejeon, Republic of Korea.
Jisoo MyongDaejeon University, Seoul, Republic of Korea.
Eunbin KwagDaejeon University, Daejeon, Republic of Korea.
Younmin ShinDaejeon University, Daejeon, Republic of Korea.
Ji Woong SonKonyang University Hospital, Daejeon, Republic of Korea.
Byong Chul YooInnoBation Bio, Seoul, Republic of Korea.
Byoung-Soo KimDaejeon University, Daejeon, Republic of Korea.
Hwa-Seung YooDaejeon University, Seoul, Republic of Korea.ORCID 0000-0003-3738-3239
Jeong June ChoiDaejeon University, Daejeon, Republic of Korea.
Daejeon University · KRKonyang University Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Erlotinib is a necessary anticancer treatment for non-small cell lung cancer (NSCLC) patients yet it causes severe side effects such as skin rash. In this study, researchers compared the untargeted compound profiles before and after erlotinib administration to observe changes in blood metabolites in NSCLC patients. The levels of 1005 substances changed after taking erlotinib. The levels of 306 and 699 metabolites were found to have increased and decreased, respectively. We found 5539 substances with peak area differences based on the presence of skin rash. Carbohydrate, amino acid, and vitamin metabolic pathways were altered in response to the onset of erlotinib-induced skin rash. Finally, this study proposed using plasma metabolites to identify biomarker(s) induced by erlotinib, as well as target molecule(s), for the treatment of dermatological toxic effects.

Indexed as

Antineoplastic AgentsCarcinoma, Non-Small-Cell LungExanthemaLung NeoplasmsErlotinib HydrochlorideHumansProtein Kinase InhibitorsAntineoplastic AgentsErlotinib HydrochlorideProtein Kinase Inhibitorserlotinibherbal medicinelung cancerNSCLCskin rash

Identifiers

PMID37750513
PMCPMC10524077
OpenAlexW4387033986

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.