Evidence map›Paper›PMID 34834551›Full record

ArticleJournal of personalized medicine2021

Bioinformatics Analysis Identifies Precision Treatment with Paclitaxel for Hepatocellular Carcinoma Patients Harboring Mutant

Jiunn-Chang Lin, Tsang-Pai Liu, Vivin Andriani, Muhammad Athoillah, Chih-Yang Wang, Pei-Ming Yang

Open access · goldAbstract read
In one paragraph

Article in Journal of personalized medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.4field-weighted citation impact, top 34% 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

6 citing papers in PubMed, 6 citations in OpenAlex.

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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

6 authors at 3 institutions in 2 countries.

Jiunn-Chang LinDepartment of Surgery, MacKay Memorial Hospital, Taipei 10449, Taiwan.
Tsang-Pai LiuDepartment of Surgery, MacKay Memorial Hospital, Taipei 10449, Taiwan.
Vivin AndrianiDepartment of Biological Science, Faculty of Science and Technology, Universitas PGRI Adi Buana, Surabaya 60234, Indonesia.
Muhammad AthoillahDepartment of Statistics, Faculty of Science and Technology, Universitas PGRI Adi Buana, Surabaya 60234, Indonesia.ORCID 0000-0002-1800-1314
Chih-Yang WangPh.D. Program for Cancer Molecular Biology and Drug Discovery, College of Medical Science and Technology, Taipei Medical University and Academia Sinica, Taipei 11031, Taiwan.ORCID 0000-0002-4137-5074
Pei-Ming YangLiver Medical Center, MacKay Memorial Hospital, Taipei 10449, Taiwan.ORCID 0000-0002-4004-2518
Mackay Memorial Hospital · TWUniversitas PGRI Semarang · IDTaipei Medical University · TW

Funding

Mackay Memorial Hospital, Taiwan MMH-108-086Mackay Memorial Hospital, Taiwan MMH110-09Ministry of Science and Technology, Taiwan MOST109-2314-B-038-040Ministry of Science and Technology, Taiwan MOST109-2314-B-195-006The health and welfare surcharge of tobacco products, Taiwan MOHW110-TDU-B-212-144020
6 · The paper itself

Abstract

Hepatocellular carcinoma (HCC) is an aggressive and chemoresistant cancer type. The development of novel therapeutic strategies is still urgently needed. Personalized or precision medicine is a new trend in cancer therapy, which treats cancer patients with specific genetic alterations. In this study, a gene signature was identified from the transcriptome of HCC patients, which was correlated with the patients' poorer prognoses. This gene signature is functionally related to mitotic cell cycle regulation, and its higher or lower expression is linked to the mutation in tumor protein p53 (

Indexed as

bioinformaticshepatocellular carcinomaprecision medicinetaxanes

Identifiers

PMID34834551
PMCPMC8623741
OpenAlexW3212112703

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.