Evidence map›Paper›PMID 29376136›Full record

ArticleHepatoma research2018

Clinical and molecular sub-classification of hepatocellular carcinoma relative to alpha-fetoprotein level in an Asia-Pacific island cohort.

Scott T Nishioka, Miles M Sato, Linda L Wong, Maarit Tiirikainen, Sandi A Kwee

Open access · diamondAbstract read
In one paragraph

Article in Hepatoma research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

9 citing papers in PubMed, 17 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. The Landscape Of Alpha Fetoprotein In Hepatocellular Carcinoma: Where Are We?International journal of biological sciences · 2022
    Review
  6. Article
  7. Article
  8. Review
  9. 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

5 authors at 1 institution in 1 country.

Scott T NishiokaThe Queen's Medical Center, Honolulu, HI 96813, USA.
Miles M SatoThe Queen's Medical Center, Honolulu, HI 96813, USA.
Linda L WongCancer Biology Program and Genomics Shared Resource, University of Hawaii Cancer Center, University of Hawaii, Honolulu, HI 96822, USA.
Maarit TiirikainenCancer Biology Program and Genomics Shared Resource, University of Hawaii Cancer Center, University of Hawaii, Honolulu, HI 96822, USA.
Sandi A KweeThe Queen's Medical Center, Honolulu, HI 96813, USA.
Queen's Medical Center · US

Funding

University of Hawaii Cancer Center CCSGP30CA071789 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI GERTRAUD MASKARINEC · 1996 to 2026
$56.2M
RESEARCH DESIGN AND BIOSTATISTICS COREU54MD007584 · NIMHD · UNIVERSITY OF HAWAII AT MANOA · PI HEDGES, JERRIS ROBERT, MOKUAU, NOREEN · 2012 to 2018
$21.1M
Functional Genomics and Molecular Imaging of Liver Disease and CancerR01CA161209 · NCI · QUEEN'S MEDICAL CENTER · PI KWEE, SANDI ALEXANDER, OKIMOTO, GORDON SHOJI · 2011 to 2016
$2.2M
NCI NIH HHS P30 CA071789NCI NIH HHS R01 CA161209NIMHD NIH HHS U54 MD007584
6 · The paper itself

Abstract

Aim: Increased serum alpha-fetoprotein (AFP) levels are associated with specific molecular sub-classes of hepatocellular carcinoma (HCC), supporting AFP as a predictive or therapeutic biomarker for precision treatment of this disease. Considering recent efforts to validate HCC molecular classification systems across different populations, we applied existing signature-based classification templates to Hawaii cohorts and examined whether associations between HCC molecular sub-class, AFP levels, and clinical features found elsewhere can also be found in Hawaii, a region with a unique demographic and risk factor profile for HCC. Methods: Whole-genome expression profiling was performed on HCC tumors collected from 40 patients following partial hepatectomy. Tumors underwent transcriptome-based categorization into 3 molecular sub-classes (S1, S2, and S3). Patient groups based on molecular sub-class and AFP level were then compared with regards to clinical features and survival. Differences associated with AFP level and other clinical parameters were also examined at the gene signature level by gene set enrichment analysis. Results: Statistically confident (false discovery rate < 0.05) sub-classifications were made in 98% (39/40) of tumors. Patient sub-groups differed significantly with regards to serum AFP level, with significantly lower levels in the S3 sub-group as compared to S1 ( Conclusion: Distinct sub-classes of HCC associated with different molecular features and survival outcomes can be detected with statistical confidence in a Pacific Island cohort. Molecular classification signatures and other predictive markers for HCC that are valid for all patient populations are needed to support multi-center efforts to develop targeted therapies for HCC.

Indexed as

alpha-fetoproteinAsia-Pacificenrichment analysisgene expressionHawaiiHepatocellular carcinomamolecular signaturesurvival

Identifiers

PMID29376136
PMCPMC5786161
OpenAlexW2784328840

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.