Evidence map›Paper›PMID 34631555›Full record

ArticleFrontiers in oncology2021

Gene Expression Profiling for Differential Diagnosis of Liver Metastases: A Multicenter, Retrospective Cohort Study.

Qifeng Wang, Fen Li, Qingming Jiang, Yifeng Sun, Qiong Liao, Huimin An, Yunzhu Li, Zhenyu Li, Lifang Fan, Fang Guo and 7 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.1field-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

9 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
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  6. Upregulation ofGenes · 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

17 authors at 10 institutions in 1 country.

Qifeng WangDepartment of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China.
Fen LiDepartment of Pathology, Chengdu Second People's Hospital, Chengdu, China.
Qingming JiangDepartment of Pathology, Chongqing University Cancer Hospital, Chongqing, China.
Yifeng SunThe Canhelp Genomics Research Center, Canhelp Genomics Co., Ltd., Hangzhou, China.
Qiong LiaoThe Cancer of Unknown Primary Group of Pathology Committee, Chinese Research Hospital Association, Shanghai, China.
Huimin AnThe Cancer of Unknown Primary Group of Pathology Committee, Chinese Research Hospital Association, Shanghai, China.
Yunzhu LiDepartment of Pathology, Sichuan Cancer Hospital, Chengdu, China.
Zhenyu LiDepartment of Pathology, Chongqing University Cancer Hospital, Chongqing, China.
Lifang FanDepartment of Pathology, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Fang GuoDepartment of Pathology, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Qinghua XuThe Cancer of Unknown Primary Group of Pathology Committee, Chinese Research Hospital Association, Shanghai, China.
Yixin WoThe Canhelp Genomics Research Center, Canhelp Genomics Co., Ltd., Hangzhou, China.
Wanli RenThe Canhelp Genomics Research Center, Canhelp Genomics Co., Ltd., Hangzhou, China.
Junqiu YueThe Cancer of Unknown Primary Group of Pathology Committee, Chinese Research Hospital Association, Shanghai, China.
Bin MengThe Cancer of Unknown Primary Group of Pathology Committee, Chinese Research Hospital Association, Shanghai, China.
Weiping LiuDepartment of Pathology, West China Hospital, Sichuan University, Chengdu, China.
Xiaoyan ZhouDepartment of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China.
Chongqing Cancer Hospital · CNFudan University · CNHuazhong University of Science and Technology · CNSichuan Cancer Hospital · CNChengdu Second People's Hospital · CNHubei Cancer Hospital · CNTianjin Medical University Cancer Institute and Hospital · CNTongji University · CNWest China Hospital of Sichuan University · CNZhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLiver metastases (LM) are the most common tumors encountered in the liver and continue to be a significant cause of morbidity and mortality. Identification of the primary tumor of any LM is crucial for the implementation of effective and tailored treatment approaches, which still represents a difficult problem in clinical practice.

methodsThe resection or biopsy specimens and associated clinicopathologic data were archived from seven independent centers between January 2017 and December 2020. The primary tumor sites of liver tumors were verified through evaluation of available medical records, pathological and imaging information. The performance of a 90-gene expression assay for the determination of the site of tumor origin was assessed.

resultA total of 130 LM covering 15 tumor types and 16 primary liver tumor specimens that met all quality control criteria were analyzed by the 90-gene expression assay. Among 130 LM cases, tumors were most frequently located in the colorectum, ovary and breast. Overall, the analysis of the 90-gene signature showed 93.1% and 100% agreement rates with the reference diagnosis in LM and primary liver tumor, respectively. For the common primary tumor types, the concordance rate was 100%, 95.7%, 100%, 93.8%, 87.5% for classifying the LM from the ovary, colorectum, breast, neuroendocrine, and pancreas, respectively.

conclusionThe overall accuracy of 93.8% demonstrates encouraging performance of the 90-gene expression assay in identifying the primary sites of liver tumors. Future incorporation of the 90-gene expression assay in clinical diagnosis will aid oncologists in applying precise treatments, leading to improved care and outcomes for LM patients.

Indexed as

gene expression profilingliver metastasisreal-time PCRtissue of origintumor classification

Identifiers

PMID34631555
PMCPMC8493028
OpenAlexW3199512563

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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.