Evidence mapPaperPMID 42138129Full record

ReviewBiochemical Society transactions2026

Pro-inflammatory cytokine-driven molecular signaling in skeletal muscle during cancer cachexia.

Benudhara Pati, Nibedita Nandy, Birendra Kumar Bindhani, Naresh Chandra Bal

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In one paragraph

Review in Biochemical Society transactions, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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

4 authors.

Benudhara PatiSchool of Biotechnology, KIIT University, Bhubaneswar, Odisha 751024, India.
Nibedita NandySchool of Biotechnology, KIIT University, Bhubaneswar, Odisha 751024, India.
Birendra Kumar BindhaniSchool of Biotechnology, KIIT University, Bhubaneswar, Odisha 751024, India.
Naresh Chandra BalSchool of Biotechnology, KIIT University, Bhubaneswar, Odisha 751024, India.ORCID 0000-0002-2859-6315

Funding

MOHFW | DHR | Indian Council of Medical Research (ICMR) IIRPSG-2025-01-00368, 45/17/2022-PHA/BMS
6 · The paper itself

Abstract

Cancer cachexia is a multifactorial syndrome characterized by the progressive loss of muscle and fat, commonly observed among patients with cancer. It is very distinct from other skeletal muscle wasting such as sarcopenia and malnutrition and is known to reduce cancer treatment effectiveness. Cachexia progression is driven by a combination of factors, including hormonal dysregulation, anorexia, tumor-derived catabolic factors (in cancer cachexia), and systemic or muscular inflammation, all of which worsen overall muscle health. In this review, we will probe the role of pro-inflammatory cytokines, such as IL-6, IFN-γ, TNF-α, TGF-β, IL-1β, and IL-8, in driving the systemic inflammation and disruption of muscle metabolic homeostasis that support the development of cachexia. These cytokines may be produced from various organs, including the adipose depots that contribute to muscle wasting and metabolic dysfunction by disrupting the equilibrium between anabolic and catabolic processes. The ubiquitin-proteasome system, NF-κB, and JAK/STAT3 are important molecular pathways that mediate cytokine-induced catabolic signaling. The review further analyzes the context-dependent dual functions of these cytokines and the molecular mechanisms underlying the loss of their regulatory control during cancer progression. The limited success of current therapeutic approaches for cancer cachexia highlights the urgent need for evaluation of more targetable mechanisms for the treatments. Here, one of our main objectives is to probe whether suppression of pro-inflammatory cytokine signaling and activation of anti-inflammatory pathways can be utilized to modulate the tumor microenvironment, thereby countering cancer cachexia.

Indexed as

CachexiaCytokinesMuscle, SkeletalNeoplasmsSignal TransductionAnimalsHumansInflammationNF-kappa BCytokinesNF-kappa BadipocytesCancer cachexiaJAK/STAT3 pathwayMuscle wastingNF-κB pathwayPro-inflammatory cytokines

Identifiers

PMID42138129
PMCPMC13181344

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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.