Evidence map›Paper›PMID 36816628›Full record

ReviewWorld journal of gastroenterology2023

Transcriptome analysis creates a new era of precision medicine for managing recurrent hepatocellular carcinoma.

Chun-Cheng Chiang, Hsuan Yeh, Siew-Na Lim, Wey-Ran Lin

Open access · hybridAbstract readReview
In one paragraph

Review in World journal of gastroenterology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.6field-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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. 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

4 authors at 2 institutions in 1 country.

Chun-Cheng ChiangUPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA 15232, United States.
Hsuan YehSchool of Medicine, University of Pittsburgh, Pittsburgh, PA 15213, United States.
Siew-Na LimDepartment of Neurology, Linkou Chang Gung Memorial Hospital, Taoyuan 333, Taiwan.
Wey-Ran LinCollege of Medicine, Chang Gung University, Taoyuan 333, Taiwan.
Chang Gung University · TWLinkou Chang Gung Memorial Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The high incidence of hepatocellular carcinoma (HCC) recurrence negatively impacts outcomes of patients treated with curative intent despite advances in surgical techniques and other locoregional liver-targeting therapies. Over the past few decades, the emergence of transcriptome analysis tools, including real-time quantitative reverse transcription PCR, microarrays, and RNA sequencing, has not only largely contributed to our knowledge about the pathogenesis of recurrent HCC but also led to the development of outcome prediction models based on differentially expressed gene signatures. In recent years, the single-cell RNA sequencing technique has revolutionized our ability to study the complicated crosstalk between cancer cells and the immune environment, which may benefit further investigations on the role of different immune cells in HCC recurrence and the identification of potential therapeutic targets. In the present article, we summarized the major findings yielded with these transcriptome methods within the framework of a causal model consisting of three domains: primary cancer cells; carcinogenic stimuli; and tumor microenvironment. We provided a comprehensive review of the insights that transcriptome analyses have provided into diagnostics, surveillance, and treatment of HCC recurrence.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsGene Expression ProfilingHumansPrecision MedicineTranscriptomeTumor MicroenvironmentMicroarraysPrecision medicineRecurrent hepatocellular carcinomaRNA sequencingSingle-cell RNA sequencingTumor heterogeneityTumor microenvironment

Identifiers

PMID36816628
PMCPMC9932421
OpenAlexW4318980750

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.