Evidence map›Paper›PMID 32256818›Full record

ArticleOncology letters2020

Methylated PTGER4 is better than CA125, CEA, Cyfra211 and NSE as a therapeutic response assessment marker in stage IV lung cancer.

Yunxia Zhang, Jianfeng Huang, Qinzhou Zou, Jun Che, Kaihua Yang, Qiang Fan, Danqi Qian, Jia Wu, Erwen Bao, Lele Song and 1 more

Open access · diamondAbstract read
In one paragraph

Article in Oncology letters, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.4field-weighted citation impact, top 37% 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

6 citing papers in PubMed, 8 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

11 authors at 3 institutions in 1 country.

Yunxia ZhangDepartment of Radiotherapy, The Affiliated Hospital of Jiangnan University, Binhu, Wuxi, Jiangsu 214062, P.R. China.
Jianfeng HuangDepartment of Radiotherapy, The Affiliated Hospital of Jiangnan University, Binhu, Wuxi, Jiangsu 214062, P.R. China.
Qinzhou ZouDepartment of Radiotherapy, The Affiliated Hospital of Jiangnan University, Binhu, Wuxi, Jiangsu 214062, P.R. China.
Jun CheDepartment of Radiotherapy, The Affiliated Hospital of Jiangnan University, Binhu, Wuxi, Jiangsu 214062, P.R. China.
Kaihua YangDepartment of Radiotherapy, The Affiliated Hospital of Jiangnan University, Binhu, Wuxi, Jiangsu 214062, P.R. China.
Qiang FanDepartment of Radiotherapy, The Affiliated Hospital of Jiangnan University, Binhu, Wuxi, Jiangsu 214062, P.R. China.
Danqi QianDepartment of Radiotherapy, The Affiliated Hospital of Jiangnan University, Binhu, Wuxi, Jiangsu 214062, P.R. China.
Jia WuDepartment of Radiotherapy, The Affiliated Hospital of Jiangnan University, Binhu, Wuxi, Jiangsu 214062, P.R. China.
Erwen BaoDepartment of Radiotherapy, The Affiliated Hospital of Jiangnan University, Binhu, Wuxi, Jiangsu 214062, P.R. China.
Lele SongDepartment of Radiotherapy, The Eighth Medical Center of The Chinese People's Liberation Army General Hospital, Haidian, Beijing 100091, P.R. China.
Fuzheng ZhangDepartment of Radiotherapy, The Affiliated Hospital of Jiangnan University, Binhu, Wuxi, Jiangsu 214062, P.R. China.
Jiangnan University · CNWuxi Fourth People's Hospital · CNHainan Branch of People's Liberation Army General Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Real-time assessment of therapeutic response in patients with advanced lung cancer presents a major challenge throughout the treatment process. Currently, computed tomography imaging is often used; however, it is radiation-based and hysteretic and is not suitable for repeated use as a real-time assessment. Blood biomarkers represent a novel solution for assessing therapeutic response in patients with advanced lung cancer. In the present study, the efficacy of a methylation marker [methylated prostaglandin E receptor 4 (mPTGER4)] and four protein markers [carcinoma antigen 125 (CA125), carcinoembryonic antigen (CEA), cytokeratin 19-fragments (cyfra21-1) and neuron-specific enolase (NSE)] were simultaneously evaluated to determine their potential in facilitating therapeutic response monitoring as well as their prognostic values in patients with stage IV lung cancer. The results indicated that, following treatment, the blood levels of methylated PTGER4 and NSE had significantly decreased, and mPRGER4, CA125, CEA and NSE exhibited a significant decrease in percentage level. Since mPTGER4 exhibited a higher rate of positive detection prior to therapy, and a greater response of sensitivity to therapy compared to the protein markers, it may represent an improved marker for the monitoring of therapeutic response. The efficacy of the markers in predicting the overall survival (OS) rate of patients with stage IV lung cancer was also assessed. Results from the follow-up of patients (up to 891 days) revealed that the blood levels of mPTGER4, CA125 and NSE before treatment were able to predict overall survival (OS) rate. Additionally, the percentage change in expression levels of CA125, CEA and NSE was also able to predict the OS rate. In conclusion, the present results indicate that mPTGER4 represents an improved biomarker for monitoring therapeutic efficacy compared with CA125, CEA, Cyfra21-1 and NSE. In predicting the long-term survival of patients with stage IV lung cancer; however, the pre-treatment levels of mPTGER4, CA125 and NSE and the percentage changes of CA125, CEA and NSE may be used as the markers.

Indexed as

carcinoembryonic antigencarcinoma antigen 125cytokeratin 19-fragmentslung cancerneuron-specific enolaseprognosisprostaglandin E receptor 4survival

Identifiers

PMID32256818
PMCPMC7074558
OpenAlexW3010006847

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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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.