Evidence map›Paper›PMID 28121629›Full record

ArticleOncotarget2017

Identification of serum proteins and multivariate models for diagnosis and therapeutic monitoring of lung cancer.

Rong Ma, Heng Xu, Jianzhong Wu, Ashok Sharma, Shan Bai, Boying Dun, Changwen Jing, Haixia Cao, Zhuo Wang, Jin-Xiong She and 1 more

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 15% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 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 4 institutions in 2 countries.

Rong MaClinical Cancer Research Center, Jiangsu Cancer Hospital, Nanjing Medical University Affiliated Cancer Hospital Cancer Institute of Jiangsu Province, Nanjing, Jiangsu, 210009, China.
Heng XuJiangsu Province Institute of Materia Medica, Nanjing Tech University, Nanjing 211816, China.
Jianzhong WuClinical Cancer Research Center, Jiangsu Cancer Hospital, Nanjing Medical University Affiliated Cancer Hospital Cancer Institute of Jiangsu Province, Nanjing, Jiangsu, 210009, China.
Ashok SharmaCenter for Biotechnology and Genomic Medicine, and Department of Obstetrics and Gynecology, Medical College of Georgia, Augusta University, Augusta, GA, 30912, USA.
Shan BaiCenter for Biotechnology and Genomic Medicine, and Department of Obstetrics and Gynecology, Medical College of Georgia, Augusta University, Augusta, GA, 30912, USA.
Boying DunCenter for Biotechnology and Genomic Medicine, and Department of Obstetrics and Gynecology, Medical College of Georgia, Augusta University, Augusta, GA, 30912, USA.
Changwen JingClinical Cancer Research Center, Jiangsu Cancer Hospital, Nanjing Medical University Affiliated Cancer Hospital Cancer Institute of Jiangsu Province, Nanjing, Jiangsu, 210009, China.
Haixia CaoClinical Cancer Research Center, Jiangsu Cancer Hospital, Nanjing Medical University Affiliated Cancer Hospital Cancer Institute of Jiangsu Province, Nanjing, Jiangsu, 210009, China.
Zhuo WangClinical Cancer Research Center, Jiangsu Cancer Hospital, Nanjing Medical University Affiliated Cancer Hospital Cancer Institute of Jiangsu Province, Nanjing, Jiangsu, 210009, China.
Jin-Xiong SheCenter for Biotechnology and Genomic Medicine, and Department of Obstetrics and Gynecology, Medical College of Georgia, Augusta University, Augusta, GA, 30912, USA.
Jifeng FengClinical Cancer Research Center, Jiangsu Cancer Hospital, Nanjing Medical University Affiliated Cancer Hospital Cancer Institute of Jiangsu Province, Nanjing, Jiangsu, 210009, China.
Augusta University · USNanjing Medical University · CNJiangsu Cancer Hospital · CNNanjing Tech University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lung cancer is one of the most prevalent cancers and has very poor treatment outcome. Biomarkers useful for screening and assessing early therapeutic response may significantly improve the therapeutic outcome but are still lacking. In this study, serum samples from 218 non-small cell lung cancer (NSCLC) patients, 34 small cell lung cancer (SCLC) patients and 171 matched healthy controls from China were analyzed for 11 proteins using the Luminex multiplex assay. Eight of the 11 proteins (OPN, SAA, CRP, CYFRA21.1, CEA, NSE, AGP and HGF) are significantly elevated in NSCLC and SCLC (p = 10-5-10-59). At the individual protein level, OPN has the best diagnostic value for NSCLC (AUC = 0.92), two acute phase proteins (SAA and CRP) have AUC near 0.83, while CEA and CYFRA21.1 also possess good AUC (0.81 and 0.77, respectively). More importantly, several three-protein combinations that contain OPN and CEA plus one of four proteins (CRP, SAA, CYFRA21.1 or NSE) have excellent diagnostic potential for NSCLC (AUC = 0.96). Four proteins (CYFRA21.1, CRP, SAA and NSE) are severely reduced and three proteins (OPN, MIF and NSE) are moderately decreased after platinum-based chemotherapy. Therapeutic response index (TRI) computed with 3-5 proteins suggests that approximately 25% of the NSCLC patients respond well to the therapy and TRI is significantly correlated with pre-treatment protein levels. Our data suggest that therapeutic response in NSCLC patients can be effectively measured but personalized biomarkers may be needed to monitor different subsets of patients.

Indexed as

Area Under CurveBiomarkers, TumorBlood ProteinsCarcinoma, Non-Small-Cell LungHumansLung NeoplasmsMultivariate AnalysisProteomicsROC CurveSensitivity and SpecificitySmall Cell Lung CarcinomaBiomarkers, TumorBlood ProteinsbiomarkersinflammationNSCLCtherapeutic responsetumor antigens

Identifiers

PMID28121629
PMCPMC5386656
OpenAlexW2581005326

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.