Evidence map›Paper›PMID 39592798›Full record

ArticleScientific reports2024

Single cell landscape of potential mechanisms in primary and metastatic hepatocellular carcinoma.

Shibo Zhang, Yi Li, Meihan Chu, Kexin Yu, Yangguang Su, Kun Zhou, Ying Wang, Xin Zhang, Xiujie Chen

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Shibo ZhangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China.
Yi LiCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China.
Meihan ChuCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China.
Kexin YuCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China.
Yangguang SuCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China.
Kun ZhouCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China.
Ying WangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China.
Xin ZhangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China. 1363931720@qq.com.
Xiujie ChenCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China. chenxiujie@ems.hrbmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatocellular carcinoma metastasis occurs mainly in the portal vein and lymph node metastasis, and is the main cause of patient death. However, the cellular origins and driving mechanisms of hepatocellular carcinoma metastasis have not been elucidated. In this study, we found that different tumor metastasis samples originated from different branches of the primary tumor subclone. A large number of sequence data confirmed the correlation between tumor metastasis index and metastasis and prognosis. Patients with a high index generally had a poor prognosis and abnormal metabolic function. Finally, we recommended a candidate therapy for each metastatic direction. This study explains the cellular origin and underlying mechanisms of hepatocellular carcinoma metastasis at the single-cell level and identifies drugs for its targeted therapy. It also provides a new research idea for the study of hepatocellular carcinoma metastasis and early identification of cancer metastasis from cellular resolution.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsNeoplasm MetastasisSingle-Cell AnalysisGene Expression Regulation, NeoplasticHumansMalePrognosisCellular originDrug sensitivityHepatocellular carcinomaMetastasisSingle cell

Identifiers

PMID39592798
PMCPMC11599920

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.