Evidence map›Paper›PMID 36483039›Full record

ReviewFrontiers in oncology2022

Systemic therapies in hepatocellular carcinoma: Existing and emerging biomarkers for treatment response.

Penghui He, Haifeng Wan, Juan Wan, Hanyu Jiang, Yu Yang, Kunlin Xie, Hong Wu

Abstract readReview
In one paragraph

Review in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. From Theory to Practice: Which Biomarkers Are Ready for Predicting Response in Advanced HCC?Liver international : official journal of the International Association for the Study of the Liver · 2026
    Review
  2. Article
  3. 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

7 authors.

Penghui HeDepartment of Liver Transplant Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Haifeng WanDepartment of Liver Transplant Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Juan WanDepartment of Pancreatitis Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Hanyu JiangDepartment of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Yu YangDepartment of Abdominal Oncology, Cancer Center, West China Hospital of Sichuan University, Chengdu, China.
Kunlin XieDepartment of Liver Transplant Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Hong WuDepartment of Liver Transplant Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatocellular carcinoma (HCC) is the fifth most common malignancy and the third most common cause of cancer-related death worldwide. Due to asymptomatic patients in the early stage, most patients are diagnosed at an advanced stage and lose the opportunity for radical resection. In addition, for patients who underwent procedures with curative intent for early-stage HCC, up to 70% of patients may have disease recurrence within 5 years. With the advent of an increasing number of systemic therapy medications, we now have more options for the treatment of HCC. However, data from clinical studies show that with different combinations of regimens, the objective response rate is approximately 40%, and most patients will not respond to treatment. In this setting, biomarkers for predicting treatment response are of great significance for precise treatment, reducing drug side effects and saving medical resources. In this review, we summarized the existing and emerging biomarkers in the literature, with special emphasis on the pathways and mechanism underlying the prediction value of those biomarkers for systemic treatment response.

Indexed as

hepatocellular carcinomaimmunotherapymolecular targeted therapypredictive biomarkersystemic treatment

Identifiers

PMID36483039
PMCPMC9723250

What Socratic 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 Socratic graph.