Evidence map›Paper›PMID 33514366›Full record

ArticleCancer cell international2021

Gene expression profiling for the diagnosis of multiple primary malignant tumors.

Yu Zheng, Yifeng Sun, Yue Kuai, Guoxiang Fu, Huimin An, Jinyun Chen, Jinying Chen, Jiajun Zhu, Yixin Wo, Yiwang Wu and 6 more

Open access · goldAbstract read
In one paragraph

Article in Cancer cell international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.8field-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

11 citing papers in PubMed, 19 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

16 authors at 3 institutions in 1 country.

Yu Zheng *Department of Medical Oncology, Sir Run Run Shaw Hospital, College of Medicine, Zhejiang University, East Qinchun Road 3, Hangzhou, 310016, Zhejiang, China.
Yifeng Sun *Canhelp Genomics Research Center, Xinyan Road 22, Hangzhou, 311100, Zhejiang, China.
Yue KuaiDepartment of Medical Oncology, Sir Run Run Shaw Hospital, College of Medicine, Zhejiang University, East Qinchun Road 3, Hangzhou, 310016, Zhejiang, China.
Guoxiang FuDepartment of Pathology, Sir Run Run Shaw Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.
Huimin AnDepartment of Pathology, Sir Run Run Shaw Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.
Jinyun ChenDepartment of General Surgery, Sir Run Run Shaw Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.
Jinying ChenCanhelp Genomics Research Center, Xinyan Road 22, Hangzhou, 311100, Zhejiang, China.
Jiajun ZhuCanhelp Genomics Research Center, Xinyan Road 22, Hangzhou, 311100, Zhejiang, China.
Yixin WoCanhelp Genomics Research Center, Xinyan Road 22, Hangzhou, 311100, Zhejiang, China.
Yiwang WuCanhelp Genomics Research Center, Xinyan Road 22, Hangzhou, 311100, Zhejiang, China.
Kaibin SongCanhelp Genomics Research Center, Xinyan Road 22, Hangzhou, 311100, Zhejiang, China.
Qinghua XuCanhelp Genomics Research Center, Xinyan Road 22, Hangzhou, 311100, Zhejiang, China. qinghua.xu@cancerhelp.cn.ORCID http://orcid.org/0000-0002-6329-0119
Di WuInstitute of Machine Learning and Systems Biology, College of Electronics and Information Engineering, Tongji University, Shanghai, China.
Deshuang HuangInstitute of Machine Learning and Systems Biology, College of Electronics and Information Engineering, Tongji University, Shanghai, China.
Qifeng WangDepartment of Pathology, Fudan University Shanghai Cancer Center, Dong'An Road 270, Shanghai, 200032, China. Wangwangqifeng19821982@126.com.
Hongming PanDepartment of Medical Oncology, Sir Run Run Shaw Hospital, College of Medicine, Zhejiang University, East Qinchun Road 3, Hangzhou, 310016, Zhejiang, China. panhongming@zju.edu.cn.
Sir Run Run Shaw Hospital · CNTongji University · CNShanghai Medical College of Fudan University · CN

Funding

Fudan University Shanghai Cancer Center YJYQ201603Natural Science Foundation of Zhejiang Province No. LSY19H160006Shanghai Science and technology development fund 19MC1911000the National Natural Science Foundation of China 81,401,963the National Natural Science Foundation of China 81,972,728
6 · The paper itself

Abstract

backgroundThe incidence of multiple primary malignant tumors (MPMTs) is rising due to the development of screening technologies, significant treatment advances and increased aging of the population. For patients with a prior cancer history, identifying the tumor origin of the second malignant lesion has important prognostic and therapeutic implications and still represents a difficult problem in clinical practice.

methodsIn this study, we evaluated the performance of a 90-gene expression assay and explored its potential diagnostic utility for MPMTs across a broad spectrum of tumor types. Thirty-five MPMT patients from Sir Run Run Shaw Hospital, College of Medicine, Zhejiang University and Fudan University Shanghai Cancer Center were enrolled; 73 MPMT specimens met all quality control criteria and were analyzed by the 90-gene expression assay.

resultsFor each clinical specimen, the tumor type predicted by the 90-gene expression assay was compared with its pathological diagnosis, with an overall accuracy of 93.2% (68 of 73, 95% confidence interval 0.84-0.97). For histopathological subgroup analysis, the 90-gene expression assay achieved an overall accuracy of 95.0% (38 of 40; 95% CI 0.82-0.99) for well-moderately differentiated tumors and 92.0% (23 of 25; 95% CI 0.82-0.99) for poorly or undifferentiated tumors, with no statistically significant difference (p-value > 0.5). For squamous cell carcinoma specimens, the overall accuracy of gene expression assay also reached 87.5% (7 of 8; 95% CI 0.47-0.99) for identifying the tumor origins.

conclusionsThe 90-gene expression assay provides flexibility and accuracy in identifying the tumor origin of MPMTs. Future incorporation of the 90-gene expression assay in pathological diagnosis will assist oncologists in applying precise treatments, leading to improved care and outcomes for MPMT patients.

Indexed as

90-gene expression assayGene expression profilingMultiple primary malignant tumorsqRT-PCRTissue of origin

Identifiers

PMID33514366
PMCPMC7846996
OpenAlexW3110722870

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LicenceCC BY
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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.