Evidence map›Paper›PMID 33066758›Full record

ArticleBMC cancer2020

Role of circulating free DNA in evaluating clinical tumor burden and predicting survival in Chinese metastatic colorectal cancer patients.

Xiaojing Xu, Yiyi Yu, Minna Shen, Mengling Liu, Shengchao Wu, Li Liang, Fei Huang, Chenlu Zhang, Wei Guo, Tianshu Liu

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
1.3field-weighted citation impact, top 22% 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

22 citing papers in PubMed, 27 citations in OpenAlex.

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  9. Plasma ctDNA enhances the tissue-based detection of oncodriver mutations in colorectal cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2024
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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

10 authors at 1 institution in 1 country.

Xiaojing XuDepartment of Oncology, Zhongshan Hospital, Fudan University, 180 Feng Lin Road, Shanghai, 200032, PR China.
Yiyi YuDepartment of Oncology, Zhongshan Hospital, Fudan University, 180 Feng Lin Road, Shanghai, 200032, PR China.
Minna ShenDepartment of Laboratory Medicine, Zhongshan Hospital, Fudan University, 180 Feng Lin Road, Shanghai, 200032, PR China.
Mengling LiuDepartment of Oncology, Zhongshan Hospital, Fudan University, 180 Feng Lin Road, Shanghai, 200032, PR China.
Shengchao WuDepartment of Laboratory Medicine, Zhongshan Hospital, Fudan University, 180 Feng Lin Road, Shanghai, 200032, PR China.
Li LiangDepartment of Oncology, Zhongshan Hospital, Fudan University, 180 Feng Lin Road, Shanghai, 200032, PR China.
Fei HuangDepartment of Laboratory Medicine, Zhongshan Hospital, Fudan University, 180 Feng Lin Road, Shanghai, 200032, PR China.
Chenlu ZhangDepartment of Oncology, Zhongshan Hospital, Fudan University, 180 Feng Lin Road, Shanghai, 200032, PR China.
Wei GuoDepartment of Laboratory Medicine, Zhongshan Hospital, Fudan University, 180 Feng Lin Road, Shanghai, 200032, PR China. guo.wei@zs-hospital.sh.cn.
Tianshu LiuDepartment of Oncology, Zhongshan Hospital, Fudan University, 180 Feng Lin Road, Shanghai, 200032, PR China. liutianshu1969@126.com.ORCID http://orcid.org/0000-0002-8604-6311
Fudan University · CN

Funding

National Natural Science Foundation of China 81502003National Natural Science Foundation of China 81602038National Natural Science Foundation of China 81772511
6 · The paper itself

Abstract

backgroundThe aim of this study was to explore the utility of circulating free DNA (cfDNA) in the evaluation of clinical tumor burden and survival in Chinese patients with metastatic colorectal cancer (mCRC) and to preliminarily summarize some metastatic characteristics associated with mutational status.

methodsA panel covering a total of 197 hotspot mutations of KRAS, NRAS, BRAF and PIK3CA was used to evaluate the mutational status in plasma by next-generation sequencing (NGS) technology in 126 patients with mCRC. An amplification-refractory mutation system (ARMS) was used to analyze genomic DNA from matched tissue samples. Clinical markers including carcinoembryonic antigen (CEA), carbohydrate antigen 199 (CA199), carbohydrate antigen 125 (CA125), neuron-specific enolase (NSE) and lactate dehydrogenase (LDH) in serum and the sum of all tumor diameters on CT or PET/CT were collected to indicate clinical tumor burden. The correlations between cfDNA and clinical tumor burden were analyzed using Pearson correlation and linear regression models. The median progression-free survival (PFS) and 1-year overall survival (OS) rates were calculated by Kaplan-Meier (K-M) survival analysis.

resultsOf the 126 enrolled patients, patients who were tested positive for mutations in plasma accounted for 45.2% (57/126). Mutations in KRAS, NRAS, BRAF and PIK3CA were detected in 37.3% (47/126), 1.6% (2/126), 3.2% (4/126) and 13.5% (17/126) of patients, respectively. The overall concordance rate of mutational status between plasma and matched tissues was 78.6% (99/126). Sixteen patients had mutations in plasma that were not detected in tissue, including some rare hotspot mutations. The cfDNA concentration was significantly correlated with the levels of clinical markers, especially CEA (P < 0.0001, Pearson r = 0.81), LDH (P < 0.0001, Pearson r = 0.84) and the sum of tumor diameters (P < 0.0001, Pearson r = 0.80). Patients with a high cfDNA concentration (> 17.91 ng/ml) had shorter median progression-free survival (6.6 versus 11.7 months, P < 0.0001) and lower 1-year overall survival rate (56% versus 94%, P < 0.0001) than those with a low cfDNA concentration (≤17.91 ng/ml). The most common metastatic site was the liver (77.8%), followed by the lymph nodes (62.7%), lung (40.5%), peritoneum (14.3%) and bone (10.3%), in all patients. There was no significant difference in metastasis between different mutational statuses.

conclusionAnalyzing mutations in plasma could provide a more comprehensive overview of the mutational landscape than analyzing mutations in tissue. The cfDNA concentration could be a quantitative biomarker of tumor burden and could predict survival in Chinese patients with mCRC.

Indexed as

AdultAgedAged, 80 and overBiomarkers, TumorCell-Free Nucleic AcidsChinaClass I Phosphatidylinositol 3-KinasesColorectal NeoplasmsDNA Mutational AnalysisFemaleGTP PhosphohydrolasesHigh-Throughput Nucleotide SequencingHumansMaleMembrane ProteinsMiddle AgedBiomarkers, TumorBRAF protein, humanCell-Free Nucleic AcidsClass I Phosphatidylinositol 3-KinasesGTP PhosphohydrolasesKRAS protein, humanMembrane ProteinsNRAS protein, humanPIK3CA protein, humanProto-Oncogene Proteins B-rafProto-Oncogene Proteins p21(ras)Circulating free DNAMetastasisMetastatic colorectal Cancer (mCRC)SurvivalTumor burden

Identifiers

PMID33066758
PMCPMC7566057
OpenAlexW3093421580

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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.