Evidence map›Paper›PMID 39172988›Full record

ArticlePloS one2024

Neutralizing antibody against GDF15 for treatment of cancer-associated cachexia.

Junyi Xiong, Guojin Wu, Jinying Ning, Junlin Yan, Jian Yang, Jinsen Kang

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Junyi XiongCollege of Pharmacy, Xinjiang Medical University, Urumqi, Xinjiang, China.ORCID 0009-0009-8181-3436
Guojin WuKYINNO Biotechnology (Beijing) Co., Ltd., Beijing, China.
Jinying NingKYINNO Biotechnology (Beijing) Co., Ltd., Beijing, China.
Junlin YanCollege of Pharmacy, Xinjiang Medical University, Urumqi, Xinjiang, China.
Jian YangCollege of Pharmacy, Xinjiang Medical University, Urumqi, Xinjiang, China.
Jinsen KangCollege of Pharmacy, Xinjiang Medical University, Urumqi, Xinjiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

GDF15 (growth differentiation factor 15), also known as macrophage inhibitory cytokine 1 (MIC-1), is a circulating protein involved in the regulation of energy balance and weight control. Elevated levels of GDF15 have been associated with cachexia and reduced survival rates in cancer patients. Through the activation of the GFRAL (GDNF-family receptor α-like)-RET (Rearranged during Transfection) signaling pathway, GDF15 can induce weight loss, making it a potential target for treating cachexia. Currently, there are no approved antibody drugs specifically targeting GDF15 for cancer cachexia treatment. However, efforts have been made to develop antibody-based therapeutics against this emerging target. In this study, we generated a monoclonal antibody KY-NAb-GDF15 against GDF15 that effectively blocks downstream signaling mediated by GFRAL upon stimulation by GDF15. This antibody demonstrates robust neutralizing activity and exhibits high binding specificity. Importantly, our findings indicate that this antibody holds promise in alleviating cancer-induced cachexia and mitigating chemotherapy-induced weight loss, thereby offering significant therapeutic potential for managing cancer cachexia.

Indexed as

Antibodies, NeutralizingCachexiaGrowth Differentiation Factor 15NeoplasmsAnimalsAntibodies, MonoclonalCell Line, TumorGlial Cell Line-Derived Neurotrophic Factor ReceptorsHumansMiceSignal TransductionAntibodies, MonoclonalAntibodies, NeutralizingGDF15 protein, humanGlial Cell Line-Derived Neurotrophic Factor ReceptorsGrowth Differentiation Factor 15

Identifiers

PMID39172988
PMCPMC11341059

What Socratic holds

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LicenceCC BY
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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.