Evidence map›Paper›PMID 28341869›Full record

ArticleDigestive diseases and sciences2017

The Profile of Serum microRNAs Predicts Prognosis for Resected Gastric Cancer Patients Receiving Platinum-Based Chemotherapy.

Jianning Song, Jie Yin, Zhigang Bai, Jun Zhang, Hua Meng, Jun Cai, Wei Deng, Xuemei Ma, Zhongtao Zhang

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Article in Digestive diseases and sciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

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9citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Jianning SongDepartment of General Surgery, Beijing Friendship Hospital, Capital Medical University, Beijing Key Laboratory of Cancer Invasion and Metastasis Research & National Clinical Research Center for Digestive Diseases, 95 Yongan Road, Xi Cheng District, Beijing, 100050, People's Republic of China.
Jie YinDepartment of General Surgery, Beijing Friendship Hospital, Capital Medical University, Beijing Key Laboratory of Cancer Invasion and Metastasis Research & National Clinical Research Center for Digestive Diseases, 95 Yongan Road, Xi Cheng District, Beijing, 100050, People's Republic of China.
Zhigang BaiDepartment of General Surgery, Beijing Friendship Hospital, Capital Medical University, Beijing Key Laboratory of Cancer Invasion and Metastasis Research & National Clinical Research Center for Digestive Diseases, 95 Yongan Road, Xi Cheng District, Beijing, 100050, People's Republic of China.
Jun ZhangDepartment of General Surgery, Beijing Friendship Hospital, Capital Medical University, Beijing Key Laboratory of Cancer Invasion and Metastasis Research & National Clinical Research Center for Digestive Diseases, 95 Yongan Road, Xi Cheng District, Beijing, 100050, People's Republic of China.
Hua MengDepartment of General Surgery, Beijing Friendship Hospital, Capital Medical University, Beijing Key Laboratory of Cancer Invasion and Metastasis Research & National Clinical Research Center for Digestive Diseases, 95 Yongan Road, Xi Cheng District, Beijing, 100050, People's Republic of China.
Jun CaiDepartment of General Surgery, Beijing Friendship Hospital, Capital Medical University, Beijing Key Laboratory of Cancer Invasion and Metastasis Research & National Clinical Research Center for Digestive Diseases, 95 Yongan Road, Xi Cheng District, Beijing, 100050, People's Republic of China.
Wei DengDepartment of General Surgery, Beijing Friendship Hospital, Capital Medical University, Beijing Key Laboratory of Cancer Invasion and Metastasis Research & National Clinical Research Center for Digestive Diseases, 95 Yongan Road, Xi Cheng District, Beijing, 100050, People's Republic of China.
Xuemei MaDepartment of General Surgery, Beijing Friendship Hospital, Capital Medical University, Beijing Key Laboratory of Cancer Invasion and Metastasis Research & National Clinical Research Center for Digestive Diseases, 95 Yongan Road, Xi Cheng District, Beijing, 100050, People's Republic of China.
Zhongtao ZhangDepartment of General Surgery, Beijing Friendship Hospital, Capital Medical University, Beijing Key Laboratory of Cancer Invasion and Metastasis Research & National Clinical Research Center for Digestive Diseases, 95 Yongan Road, Xi Cheng District, Beijing, 100050, People's Republic of China. zhangzht@medmail.com.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimAdjuvant chemotherapy is an important component in the treatment of gastric cancer (GC) patients; however, some patients do not respond to the drugs. We aimed to develop a practical profile based on serum microRNAs (miRNAs) that can be used to predict patients likely to respond to treatment.

methodsMicroarrays were used to screen cisplatin-resistant SGC7901/DDP GC cells and the parental SGC7901 cell lines for miRNAs related to chemotherapy sensitivity. The correlation between the expression patterns of identified serum miRNAs and overall survival was confirmed in 68 GC patients. Furthermore, we also validated the signature of the serum miRNAs in an independent cohort of 50 GC patients.

resultsFrom the screening microarrays, we focused on miR-15a, miR-15b and miR-93 as downregulated miRNAs in the SGC7901/DDP cells and miR-27a, miR-106a and miR-664 as upregulated miRNAs. Only serum miR-106, miR-15a, miR-93 and miR-664 were useful in predicting the prognosis of patients who received adjuvant chemotherapy. We identified a signature of four serum miRNAs (miR-106, miR-15a, miR-93 and miR-664) that, when combined, can be used as a risk score for overall survival. Patients with a higher risk score had worse prognosis (p < 0.05). For the independent cohort of patients, the signature of the four miRNAs predicted prognosis well.

conclusionOur data showed that the risk score derived from the four serum miRNAs was closely associated with the overall survival in GC patients who received adjuvant chemotherapy.

Indexed as

Gene Expression ProfilingAgedAntineoplastic AgentsCell Line, TumorChemotherapy, AdjuvantCisplatinFemaleGene Expression Regulation, NeoplasticHumansMaleMicroRNAsMiddle AgedPrognosisStomach NeoplasmsAntineoplastic AgentsCisplatinMicroRNAsChemotherapyGastric cancerPrognosisSerum microRNAs

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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.