Evidence map›Paper›PMID 40851753›Full record

ReviewTherapeutic advances in medical oncology2025

Predictive value of biomarkers for lenvatinib in hepatocellular carcinoma.

Xiangyong Hao, Zihan Li, Xin Su, Jian Li, Youbao Ye, Cailiu Wang, Xiao Xu, Hao Song, Baoling Song, Xiang Lan and 1 more

Abstract readReview
In one paragraph

Review in Therapeutic advances in medical oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Xiangyong HaoDepartment of General Surgery, Gansu Provincial Hospital, No. 204 Donggang West Road, Chengguan District, Lanzhou 730000, China.ORCID https://orcid.org/0000-0003-4419-7047
Zihan LiThe First Clinical Medical College of Gansu University of Chinese Medicine (Gansu Provincial Hospital), Lanzhou, China.ORCID https://orcid.org/0009-0000-5407-5719
Xin SuDepartment of General Surgery, Gansu Provincial Hospital, Lanzhou, China.ORCID https://orcid.org/0009-0002-6926-7865
Jian LiDepartment of General Surgery, Gansu Provincial Hospital, Lanzhou, China.ORCID https://orcid.org/0009-0006-8677-8113
Youbao YeDepartment of General Surgery, Gansu Provincial Hospital, Lanzhou, China.ORCID https://orcid.org/0009-0000-3900-5552
Cailiu WangDepartment of General Surgery, Gansu Provincial Hospital, Lanzhou, China.ORCID https://orcid.org/0009-0001-8640-959X
Xiao XuDepartment of General Surgery, Gansu Provincial Hospital, Lanzhou, China.ORCID https://orcid.org/0009-0007-1030-9983
Hao SongThe First Clinical Medical College of Gansu University of Chinese Medicine (Gansu Provincial Hospital), Lanzhou, China.ORCID https://orcid.org/0009-0003-6158-0408
Baoling SongThe First Clinical Medical College of Gansu University of Chinese Medicine (Gansu Provincial Hospital), Lanzhou, China.ORCID https://orcid.org/0009-0005-1270-8844
Xiang LanDepartment of Hepatobiliary Surgery, The First Affiliated Hospital, Chongqing Medical University, Chongqing 400016, China.ORCID https://orcid.org/0009-0004-5016-1301
Tian LuoThe Institute for Clinical Research and Translational Medicine, Gansu Provincial Hospital, No. 204 Donggang West Road, Chengguan District, Lanzhou 730000, China.ORCID https://orcid.org/0009-0001-9472-934X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatocellular carcinoma (HCC) is a highly lethal disease that exhibits a rising global incidence, and most HCC patients are at an advanced stage at the time of diagnosis. Although lenvatinib has become the first-line option for HCC and its overall survival is not inferior to sorafenib, not all HCC patients could derive benefits from lenvatinib. Therefore, it was urgent to predict which group of HCC patients could derive benefits from lenvatinib and monitor its therapeutic effectiveness during treatment. This review summarized various biomarkers that could be used for prediction of lenvatinib response, including 7 biomarkers that are applied in clinical practice, 11 biomarkers that are applied in clinical practice, and 6 biomarkers that are under exploratory stage. By conducting this first comprehensive analysis of predictive biomarkers for lenvatinib in HCC patients, this review aims to help doctors to assess the response of lenvatinib treatment more accurately and, thus, develop more effective individualized treatment plans.

Indexed as

biomarkershepatocellular carcinomalenvatinibpredict

Identifiers

PMID40851753
PMCPMC12368414

What Socratic 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 Socratic graph.