Evidence map›Paper›PMID 41368120›Full record

ReviewWorld journal of hepatology2025

PANoptosis in hepatocellular carcinoma: Underlying mechanisms.

Meng-Jia Li, Chen-Lin Wen, Hai-Tao Cheng, Hao-Nan Lyu, Yang-Yang Han

Abstract readReview
In one paragraph

Review in World journal of hepatology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Meng-Jia LiDepartment of Biology, School of Basic Medical Sciences, Xinjiang Medical University, Urumqi 830017, Xinjiang Uygur Autonomous Region, China.
Chen-Lin WenDepartment of Biology, School of Basic Medical Sciences, Xinjiang Medical University, Urumqi 830017, Xinjiang Uygur Autonomous Region, China.
Hai-Tao ChengDepartment of Biology, School of Basic Medical Sciences, Xinjiang Medical University, Urumqi 830017, Xinjiang Uygur Autonomous Region, China.
Hao-Nan LyuDepartment of Biology, School of Basic Medical Sciences, Xinjiang Medical University, Urumqi 830017, Xinjiang Uygur Autonomous Region, China.
Yang-Yang HanDepartment of Biology, School of Basic Medical Sciences, Xinjiang Medical University, Urumqi 830017, Xinjiang Uygur Autonomous Region, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PANoptosis is an inflammatory programmed cell death pathway possessing critical characteristics of apoptosis, pyroptosis, and necroptosis. It is regulated by PANoptosome complexes, involves interaction between these three key programmed cell death pathways, yet is distinct from any alone. PANoptosis holds vital significance in liver-related diseases, particularly hepatocellular carcinoma (HCC). This article summarizes research on the mechanism and treatments of PANoptosis in HCC. Current research has partially elucidated PANoptosis-related mechanisms in HCC and identified several molecules modulating it. Therapeutic strategies targeting PANoptosis hold significant promise. Investigations into these critical molecules have led to the development of traditional targeted drug therapies and emerging strategies like nanotechnology-based immunocombination therapies. However, there are still challenges in the mechanistic and pharmacological studies of PANoptosis in HCC, including the bidirectional regulation of key apoptotic factors, specific molecular mechanisms, and preclinical models. This article offers a new orientation for studying the pathogenesis and potential therapeutic strategies for HCC.

Indexed as

Hepatocellular carcinomaMechanismsPANoptosisProgrammed cell deathTreatment strategies

Identifiers

PMID41368120
PMCPMC12683381

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.