Evidence mapPaperPMID 42060013Full record

ReviewCurrent oncology reports2026

Unveiling the Intricate Dance: Signaling Pathways in Liver Cancer Metabolism and Immunity.

Yichi Xu, Bo Wen, Dai Zhang, Fangxin Tang, Shu Liu

Abstract readReview
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In one paragraph

Review in Current oncology reports, 2026. 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

5 authors.

Yichi XuGeriatric Department, First Affiliated Hospital, China Medical University, Shenyang, Liaoning, China.
Bo WenGeriatric Department, First Affiliated Hospital, China Medical University, Shenyang, Liaoning, China.
Dai ZhangGeriatric Department, First Affiliated Hospital, China Medical University, Shenyang, Liaoning, China.
Fangxin TangGeriatric Department, First Affiliated Hospital, China Medical University, Shenyang, Liaoning, China.
Shu LiuGeriatric Department, First Affiliated Hospital, China Medical University, Shenyang, Liaoning, China. liushu@cmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of the reviewHepatocellular carcinoma is a type of cancer with high rates of occurrence and death worldwide. Recently, the marked increase in liver cancer risk among patients with metabolic-associated steatotic liver disease has drawn considerable attention to the metabolic-immune evolutionary mechanisms underlying this condition. In this article, we systematically review the main metabolic-immune signaling pathways linked to the advancement of hepatic steatosis, inflammation, and carcinogenesis. This review examines their roles and potential therapeutic significance within the tumor microenvironment, with the objective of furnishing a theoretical foundation and identifying novel therapeutic targets for the precise treatment. RECENT

findingsThe carcinogenic process entails complex and dynamic interactions between energy metabolism and immune cells. The latest studies focusing on metabolic-immune interactions bring attention to significant signaling routes such as PI3K/AKT/mTOR and AMPK. These pathways regulate energy metabolism reprogramming in the HCC microenvironment and facilitate tumor immune evasion, impacting tumor growth and metastasis. Hepatocellular carcinoma significantly contributes to global cancer mortality, with existing treatments showing limited effectiveness, thus heavily burdening public health systems.The carcinogenic process of hepatocellular carcinoma is characterized by a multitude of pathogenic mechanisms, notably the intricate interplay between energy metabolism and immune functions, which involves numerous signaling pathways. Thoroughly analyzing the regulatory mechanisms of these signaling routes could lay a theoretical groundwork for finding new therapeutic targets and bettering the prognosis for hepatocellular carcinoma patients.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsSignal TransductionAnimalsEnergy MetabolismHumansMetabolic ReprogrammingTumor MicroenvironmentEnergy metabolismHepatocellular carcinomaImmune metabolism interactionMetabolic associated fatty liver diseaseSignaling pathways

Identifiers

What Socratic holds

Textmetadata
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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 Socratic graph.