Evidence map›Paper›PMID 34603482›Full record

ArticleComputational and mathematical methods in medicine2021

The Role of Change Rates of CYFRA21-1 and CEA in Predicting Chemotherapy Efficacy for Non-Small-Cell Lung Cancer.

Tongwei Zhao, Guangyun Mao, Ming Chen

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Article in Computational and mathematical methods in medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 7 papers, 1 of them a synthesis that pooled it.

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7citing papers in PubMed, 1 pooled it
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Tongwei ZhaoThe Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu Province, China.ORCID https://orcid.org/0000-0002-0093-9689
Guangyun MaoSchool of Public Health & Management, Wenzhou Medical University, Wenzhou, Zhejiang, China.ORCID https://orcid.org/0000-0001-7287-6253
Ming ChenThe Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu Province, China.ORCID https://orcid.org/0000-0001-8526-9495

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCytokeratin 19 fragment 21-1 (CYFRA21-1) and carcinoembryonic antigen (CEA) are effective prognostic biomarkers for lung cancer. This study investigated the predictive effects of change rates of CYFRA21-1 and CEA before and after the first cycles of chemotherapy on advanced IIIb/IIIc or IV stage non-small-cell lung cancer (NSCLC) patients.

methodsData of 103 NSCLC patients who received chemotherapy in Zhejiang Provincial People's Hospital from February 2018 to November 2020 were retrospectively analyzed. All patients received platinum doublet chemotherapy for at least 2 cycles. CYFRA21-1 and CEA levels of patients were detected before and after the first chemotherapy cycle, respectively. After the second cycle, the efficacy was evaluated, and patients were divided into the disease control (DC) and progressive disease (PD) groups. The generalized linear model (GLM) and linear trend test assessed the relationship between change rates of CYFRA21-1 and CEA levels and chemotherapeutic efficacy before and after chemotherapy. Moreover, the receiver operating characteristic (ROC) curve determined the predictive value of change rates of CYFRA21-1 and CEA on chemotherapeutic efficacy.

resultsAfter the second chemotherapeutic cycle, there were 92 patients in the DC group and 11 in the PD group. GLM and linear trend test both indicated that change rates of CYFRA21-1 and CEA were inversely correlated with chemotherapeutic efficacy for NSCLC. Change rates of CYFRA21-1 and CEA were used to predict area under the ROC curve of chemotherapeutic efficacy (0.87, 0.71-1.00), which is better than single index prediction of CYFRA21-1 (0.71, 0.49-0.94) or CEA change rate (0.85, 0.69-1.00) (

conclusionBefore and after chemotherapy of the first cycle for advanced NSCLC patients, combining serum CYFRA21-1 and CEA levels could increase sensitivity and specificity to predict the chemotherapeutic efficacy and guide the following therapy of advanced NSCLC patients.

Indexed as

AgedAntigens, NeoplasmAntineoplastic Combined Chemotherapy ProtocolsBiomarkers, TumorCarcinoembryonic AntigenCarcinoma, Non-Small-Cell LungComputational BiologyFemaleGPI-Linked ProteinsHumansKeratin-19Linear ModelsLung NeoplasmsMaleMiddle AgedPrognosisantigen CYFRA21.1Antigens, NeoplasmBiomarkers, TumorCarcinoembryonic AntigenCEACAM5 protein, humanGPI-Linked ProteinsKeratin-19

Identifiers

PMID34603482
PMCPMC8481052

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