Evidence map›Paper›PMID 35795211›Full record

ArticleFrontiers in genetics2022

Cross Analysis of Genomic-Pathologic Features on Multiple Primary Hepatocellular Carcinoma.

Fei Ren, Depin Wang, Xueyuan Zhang, Na Zhao, Xiaowen Wang, Yu Zhang, Li Li

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 46% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. Article
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

7 authors at 4 institutions in 1 country.

Fei RenHigh Performance Computer Research Center, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China.
Depin WangHigh Performance Computer Research Center, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China.
Xueyuan ZhangHigh Performance Computer Research Center, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China.
Na ZhaoZhijian Life Co. Ltd., Beijing, China.
Xiaowen WangZhijian Life Co. Ltd., Beijing, China.
Yu ZhangDepartment of Medical Oncology and Radiation Sickness, Peking University Third Hospital, Beijing, China.
Li LiDepartment of Oncology, Peking University International Hospital, Beijing, China.
Chinese Academy of Sciences · CNInstitute of Computing Technology · CNPeking University International Hospital · CNPeking University Third Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatocellular carcinoma (HCC) is a prevalent malignancy cancer worldwide with a poor prognosis. Hepatic resection is indicated as a potentially curative option for HCC patients in the early stage. However, due to multiple nodules, it leads to clinical challenges for surgical management. Approximately 41%-75% of HCC cases are multifocal at initial diagnosis, which may arise from multicentric occurrence (MO-HCC) or intrahepatic metastasis (IM-HCC) pattern with significantly different clinical outcomes. Effectively differentiating the two mechanisms is crucial to prioritize the allocation of surgery for multifocal HCC. In this study, we collected a multifocal hepatocellular carcinoma cohort of 17 patients with a total of 34 samples. We performed whole-exome sequencing and staining of pathological HE sections for each lesion. Reconstruction of the clonal evolutionary pattern using genome mutations showed that the intrahepatic metastogenesis pattern had a poorer survival performance than independent origins, with variants in the TP53, ARID1A, and higher CNV variants occurring more significantly in the metastatic pattern. Cross-modality analysis with pathology showed that molecular classification results were consistent with pathology results in 70.6% of patients, and we found that pathology results could further complement the classification for undefined patterns of occurrence. Based on these results, we propose a model to differentiate the pattern of multifocal hepatocellular carcinoma based on the pathological results and genome mutations information, which can provide guidelines for diagnosing and treating multifocal hepatocellular carcinoma.

Indexed as

hepatitis B virushepatocellular carcinomamolecular profiling and subtypingwhole exome sequencingwhole slide images

Identifiers

PMID35795211
PMCPMC9251469
OpenAlexW4283219696

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.