Evidence map›Paper›PMID 31161597›Full record

ArticleTargeted oncology2019

Digital PCR-Based Detection of EGFR Mutations in Paired Plasma and CSF Samples of Lung Adenocarcinoma Patients with Central Nervous System Metastases.

Ruofan Huang, Xiao Xu, Dong Li, Kun Chen, Qiong Zhan, Mengxi Ge, Xinli Zhou, Xiaohua Liang, Ming Guan

Abstract read
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In one paragraph

Article in Targeted oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 2 pooled it
2.8field-weighted citation impact, top 8% 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

37 citing papers in PubMed, 2 syntheses or guidelines pooled it, 60 citations in OpenAlex.

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  18. Assessing CSF ctDNA to Improve Diagnostic Accuracy and Therapeutic Monitoring in Breast Cancer Leptomeningeal Metastasis.Clinical cancer research : an official journal of the American Association for Cancer Research · 2022
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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

9 authors at 3 institutions in 1 country.

Ruofan HuangDepartment of Oncology, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, 200040, China.
Xiao XuDepartment of Central Laboratory, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, 200040, China.
Dong LiDepartment of Clinical Laboratory, Shanghai Tongji Hospital, Tongji University School of Medicine, Shanghai, China.
Kun ChenDepartment of Laboratory Medicine, Huashan Hospital North, Fudan University, Shanghai, China.
Qiong ZhanDepartment of Oncology, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, 200040, China.
Mengxi GeDepartment of Oncology, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, 200040, China.
Xinli ZhouDepartment of Oncology, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, 200040, China.
Xiaohua LiangDepartment of Oncology, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, 200040, China. xhliang66@sina.com.
Ming GuanDepartment of Central Laboratory, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, 200040, China. guanming@shmu.edu.cn.
Fudan University · CNHuashan Hospital · CNTongji Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe presence of specific mutations in the EGFR gene informs the clinical pathway of therapy for patients with lung adenocarcinoma (LAC), including those with central nervous system (CNS) metastases. Plasma circulating cell-free DNA (cfDNA) has been demonstrated to carry the mutational information of LACs, which serves as a biomarker to guide treatment. However, whether the cerebrospinal fluid (CSF) enriches circulating tumor DNA (ctDNA) released from CNS metastatic lesions of LAC, and whether the CSF ctDNA can be used to characterize these lesions remains unknown.

objectiveTo explore the EGFR status in CNS metastases of LAC patients, and to guide the treatment of intra- and extracranial tumors in these patients. PATIENTS AND

methodsThe EGFR mutational status in the cfDNA from paired CSF and plasma samples from LAC patients with CNS metastases, including 20 brain metastases (BM) and 15 leptomeningeal metastases (LM), was assessed by droplet digital polymerase chain reaction (ddPCR). The clinical outcomes of the EGFR status-based intervention were investigated.

resultsEGFR mutations were detected in 23/35 LAC patients (65.7%). EGFR mutations in the plasma or CSF were detected in 6/11 (54.5%) and 5/10 (50%) BM patients, and in 4/11 (36.4%) and 9/12(75%) LM patients, respectively. The prevalence of the T790M mutation was significantly higher in plasma (9/23) than in CSF (3/23) samples. The sensitivity and specificity of the ddPCR-based EGFR mutation test in CSF or plasma samples versus the primary tumor samples were 56% and 89% versus 46% and 100%, respectively. Twelve patients received a first-generation EGFR TKI (tyrosine kinase inhibitor) after the detection of sensitive EGFR mutations in their CSF or plasma, and five patients were switched from a first-generation EGFR TKI to osimertinib after the detection of the T790M mutation.

conclusionsThe EGFR T790M mutation in plasma cfDNA is a sensitive marker for EGFR TKI resistance when CNS metastases progressed. CSF ctDNA increases the diagnostic validity for EGFR genotyping of lung cancer brain metastasis. ddPCR in CSF and plasma samples could provide less invasive and close monitoring of the EGFR status of LAC patients with CNS metastases.

Indexed as

MutationAdenocarcinoma of LungAdultAgedBiomarkers, TumorCarcinoma, Non-Small-Cell LungCentral Nervous System NeoplasmsCirculating Tumor DNAErbB ReceptorsFemaleFollow-Up StudiesHumansLung NeoplasmsMaleMiddle AgedPolymerase Chain ReactionBiomarkers, TumorCirculating Tumor DNAEGFR protein, humanErbB ReceptorsProtein Kinase Inhibitors

Identifiers

PMID31161597
OpenAlexW2948248022

What OpenQuestion holds

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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.