Evidence map›Paper›PMID 26672766›Full record

ArticleOncotarget2016

Inferring the progression of multifocal liver cancer from spatial and temporal genomic heterogeneity.

Jie-Yi Shi, Qingfeng Xing, Meng Duan, Zhi-Chao Wang, Liu-Xiao Yang, Ying-Jun Zhao, Xiao-Ying Wang, Yun Liu, Minghua Deng, Zhen-Bin Ding and 7 more

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
5.9field-weighted citation impact, top 3% 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

30 citing papers in PubMed, 1 synthesis or guideline pooled it, 43 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Multi-omics profiling reveals that ScissorCellular oncology (Dordrecht, Netherlands) · 2026
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  14. Tumour evolution in hepatocellular carcinoma.Nature reviews. Gastroenterology & hepatology · 2020
    Review
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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 6 institutions in 2 countries.

Jie-Yi ShiLiver Cancer Institute, Zhongshan Hospital, and Key Laboratory of Carcinogenesis and Cancer Invasion (Ministry of Education), Fudan University, Shanghai, P. R. China.
Qingfeng XingSchool of Mathematical Sciences and Center for Statistical Science, Peking University, Beijing, P. R. China.
Meng DuanLiver Cancer Institute, Zhongshan Hospital, and Key Laboratory of Carcinogenesis and Cancer Invasion (Ministry of Education), Fudan University, Shanghai, P. R. China.
Zhi-Chao WangLiver Cancer Institute, Zhongshan Hospital, and Key Laboratory of Carcinogenesis and Cancer Invasion (Ministry of Education), Fudan University, Shanghai, P. R. China.
Liu-Xiao YangLiver Cancer Institute, Zhongshan Hospital, and Key Laboratory of Carcinogenesis and Cancer Invasion (Ministry of Education), Fudan University, Shanghai, P. R. China.
Ying-Jun ZhaoFudan University Shanghai Cancer Center and Institutes of Biomedical Sciences, Shanghai Medical College, Fudan University, Shangai, P. R. China.
Xiao-Ying WangLiver Cancer Institute, Zhongshan Hospital, and Key Laboratory of Carcinogenesis and Cancer Invasion (Ministry of Education), Fudan University, Shanghai, P. R. China.
Yun LiuSchool of Mathematical Sciences and Center for Statistical Science, Peking University, Beijing, P. R. China.
Minghua DengSchool of Mathematical Sciences and Center for Statistical Science, Peking University, Beijing, P. R. China.
Zhen-Bin DingLiver Cancer Institute, Zhongshan Hospital, and Key Laboratory of Carcinogenesis and Cancer Invasion (Ministry of Education), Fudan University, Shanghai, P. R. China.
Ai-Wu KeLiver Cancer Institute, Zhongshan Hospital, and Key Laboratory of Carcinogenesis and Cancer Invasion (Ministry of Education), Fudan University, Shanghai, P. R. China.
Jian ZhouLiver Cancer Institute, Zhongshan Hospital, and Key Laboratory of Carcinogenesis and Cancer Invasion (Ministry of Education), Fudan University, Shanghai, P. R. China.
Jia FanLiver Cancer Institute, Zhongshan Hospital, and Key Laboratory of Carcinogenesis and Cancer Invasion (Ministry of Education), Fudan University, Shanghai, P. R. China.
Ya CaoCancer Research Institute, Xiangya School of Medicine, Central South University, Hunan, P. R. China.
Jiping WangDivision of Surgical Oncology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Ruibin XiSchool of Mathematical Sciences and Center for Statistical Science, Peking University, Beijing, P. R. China.
Qiang GaoLiver Cancer Institute, Zhongshan Hospital, and Key Laboratory of Carcinogenesis and Cancer Invasion (Ministry of Education), Fudan University, Shanghai, P. R. China.
Fudan University · CNZhongshan Hospital · CNPeking University · CNBrigham and Women's Hospital · USCentral South University · CNFudan University Shanghai Cancer Center · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multifocal tumors developed either as independent tumors or as intrahepatic metastases, are very common in primary liver cancer. However, their molecular pathogenesis remains elusive. Herein, a patient with synchronous two hepatocellular carcinoma (HCC, designated as HCC-A and HCC-B) and one intrahepatic cholangiocarcinoma (ICC), as well as two postoperative recurrent tumors, was enrolled. Multiregional whole-exome sequencing was applied to these tumors to delineate the clonality and heterogeneity. The three primary tumors showed almost no overlaps in mutations and copy number variations. Within each tumor, multiregional sequencing data showed varied intratumoral heterogeneity (21.6% in HCC-A, 20.4% in HCC-B, 53.2% in ICC). The mutational profile of two recurrent tumors showed obvious similarity with HCC-A (86.7% and 86.6% respectively), rather than others, indicating that they originated from HCC-A. The evolutionary history of the two recurrent tumors indicated that intrahepatic micro-metastasis could be an early event during HCC progression. Notably, FAT4 was the only gene mutated in two primary HCCs and the recurrences. Mutation prevalence screen and functional experiments showed that FAT4, harboring somatic coding mutations in 26.7% of HCC, could potently inhibit growth and invasion of HCC cells. In HCC patients, both FAT4 expression and FAT4 mutational status significantly correlated with patient prognosis. Together, our findings suggest that spatial and temporal dissection of genomic alterations during the progression of multifocal liver cancer may help to elucidate the basis for its dismal prognosis. FAT4 acts as a putative tumor suppressor that is frequently inactivated in human HCC.

Indexed as

AgedCadherinsCarcinoma, HepatocellularCholangiocarcinomaDisease ProgressionDNA Copy Number VariationsDNA Mutational AnalysisGene Expression Regulation, NeoplasticGenetic Predisposition to DiseaseHumansLiver NeoplasmsMaleNeoplasm Recurrence, LocalNeoplasms, Multiple PrimaryTumor Suppressor ProteinsCadherinsFAT4 protein, humanTumor Suppressor ProteinsFAT4hepatocellular carcinomaintratumor heterogeneitymultifocal tumorswhole-exome sequencing

Identifiers

PMID26672766
PMCPMC4823077
OpenAlexW2306363300

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.