Evidence map›Paper›PMID 33638929›Full record

ArticleLiver international : official journal of the International Association for the Study of the Liver2021

Pathological predictive factors for late recurrence of hepatocellular carcinoma in chronic liver disease.

Ji Hae Nahm, Hye Sun Lee, Haeryoung Kim, Sun Young Yim, Ji-Hyun Shin, Jeong Eun Yoo, Sang Hoon Ahn, Jin Sub Choi, Ju-Seog Lee, Young Nyun Park

Open access · greenAbstract read
In one paragraph

Article in Liver international : official journal of the International Association for the Study of the Liver, 2021. 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
0.6field-weighted citation impact, top 33% 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. Review
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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

10 authors at 4 institutions in 3 countries.

Ji Hae NahmDepartment of Pathology, Yonsei University College of Medicine, Seoul, Republic of Korea.ORCID 0000-0003-0902-866X
Hye Sun LeeBiostatistics Collaboration Unit, Yonsei University College of Medicine, Seoul, Republic of Korea.
Haeryoung KimDepartment of Pathology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea.ORCID 0000-0002-4205-9081
Sun Young YimDivision of Gastroenterology and Hepatology, Department of Internal Medicine, Korea University School of Medicine, Seoul, Republic of Korea.ORCID 0000-0001-7346-5974
Ji-Hyun ShinDepartment of Systems Biology, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, USA.
Jeong Eun YooDepartment of Pathology, Yonsei University College of Medicine, Seoul, Republic of Korea.
Sang Hoon AhnDepartment of Internal Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea.ORCID 0000-0002-3629-4624
Jin Sub ChoiDepartment of Surgery, Yonsei University College of Medicine, Seoul, Republic of Korea.
Ju-Seog LeeDepartment of Systems Biology, Division of Basic Science, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.ORCID 0000-0002-5666-9753
Young Nyun ParkDepartment of Pathology, Yonsei University College of Medicine, Seoul, Republic of Korea.ORCID 0000-0003-0357-7967
Yonsei University · KRThe University of Texas MD Anderson Cancer Center · USKorea University · KRSeoul National University Hospital · KR

Funding

PEA15 IN DEVELOPMENT OF LIVER CANCER AND ITS THERAPEUTIC IMPLICATIONR01CA237327 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI LEE, JU-SEOG · 2020 to 2024
$1.8M
NCI NIH HHS R01 CA237327
6 · The paper itself

Abstract

BACKGROUND &

aimsLate recurrence of hepatocellular carcinoma (HCC) is regarded as de novo HCC from chronic hepatitis. This study investigated clinicopathological and molecular factors to develop a nomogram for predicting late HCC recurrence (>2 years after curative resection).

methodsThe training and validation cohorts included HCC patients with a major aetiology of hepatitis B who underwent curative resection. Clinicopathological features including lobular and porto-periportal inflammatory activity, fibrosis and liver cell change were evaluated. Proteins encoded by genes related to late recurrence were identified using a reverse phase protein array of 95 non-tumourous liver tissues. Immunoexpression of phosphorylated signal transducer and activator of transcription 3 (pSTAT3), plasminogen activator inhibitor-1, phosphorylated extracellular signal-regulated kinase 1/2 (pERK1/2) and spleen tyrosine kinase (SYK) was measured.

resultsLate recurrence occurred in 74/402 (18%) and 47/243 (19%) in the training and validation cohorts respectively. Cirrhosis, moderate/severe lobular inflammatory activity, and expression of pSTAT3, pERK1/2, and SYK proteins correlated to the gene signature of hepatocyte injury and regeneration were independently associated with late recurrence, with odds ratios (95% confidence intervals) of 2.0 (1.2-3.3), 21.1 (4.3-102.7) and 6.0 (2.1-17.7) respectively (P < .05 for all). A nomogram based on these variables (histological parameters and immunohistochemical marker combinations) showed high reliability in both the training and validation cohorts (Harrell's C index: 0.701 and 0.716; 95% confidence intervals: 0.64-0.76 and 0.64-0.79 respectively).

conclusionsThe combination of pSTAT3, pERK1/2 and SYK immunoexpression with high lobular inflammatory activity and cirrhosis (fibrosis) predicts late HCC recurrence.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsHepatectomyHumansNeoplasm Recurrence, LocalReproducibility of ResultsRetrospective Studieschronic hepatitiscirrhosishepatocellular carcinomainflammationnomogramrecurrence

Identifiers

PMID33638929
PMCPMC8774293
OpenAlexW3131579362

What OpenQuestion holds

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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.