Evidence map›Paper›PMID 36201323›Full record

ArticleJournal of applied physiology (Bethesda, Md. : 1985)2022

Metastatic or xenograft colorectal cancer models induce divergent anabolic deficits and expression of pro-inflammatory effectors of muscle wasting in a tumor-type-dependent manner.

Hyo-Gun Kim, Joshua R Huot, Fabrizio Pin, Daniel J Belcher, Andrea Bonetto, Gustavo A Nader

Open access · greenAbstract read
In one paragraph

Article in Journal of applied physiology (Bethesda, Md. : 1985), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 47% of its field
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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
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 at 3 institutions in 1 country.

Hyo-Gun KimDepartment of Kinesiology, The Pennsylvania State University, University Park, Pennsylvania.
Joshua R HuotDepartment of Surgery, Indiana University School of Medicine, Indianapolis, Indiana.
Fabrizio PinDepartment of Anatomy and Cell Biology & Physiology, Indiana University School of Medicine, Indianapolis, Indiana.
Daniel J BelcherHuck Institutes of the Life Sciences, The Pennsylvania State University, University Park, Pennsylvania.
Andrea BonettoDepartment of Surgery, Indiana University School of Medicine, Indianapolis, Indiana.
Gustavo A NaderDepartment of Kinesiology, The Pennsylvania State University, University Park, Pennsylvania.ORCID 0000-0002-2220-4296
Pennsylvania State University · USIndiana University School of MedicineIndiana University Health · US

Funding

PILOT STUDY--SUBSTRATE METABOLISM IN EXTREMELY LOW BIRTH WEIGHT INFANTSP30DK048520 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI JANINE A HIGGINS · 1995 to 2026
$32.6M
Comprehensive Training Program in Musculoskeletal ResearchT32AR065971 · NIAMS · INDIANA UNIVERSITY INDIANAPOLIS · PI ALEXANDER G ROBLING · 2015 to 2026
$4.4M
Targeting RANKL for the treatment of muscle and bone defects in cachexiaR01AR079379 · NIAMS · UNIVERSITY OF COLORADO DENVER · PI Andrea Bonetto · 2021 to 2026
$2.1M
Ribosomal control of muscle mass: Transcriptional and epigenetic mechanismsR01AR078430 · NIAMS · PENNSYLVANIA STATE UNIVERSITY, THE · PI NADER, GUSTAVO A · 2021 to 2025
$1.7M
Ribosomal control of muscle mass: Transcriptional and epigenetic mechanismsR56AR073385 · NIAMS · PENNSYLVANIA STATE UNIVERSITY, THE · PI NADER, GUSTAVO A · 2019 to 2019
$348k
NIAMS NIH HHS R01 AR078430NIAMS NIH HHS R01 AR079379NIAMS NIH HHS R56 AR073385NIAMS NIH HHS T32 AR065971NIDDK NIH HHS P30 DK048520
6 · The paper itself

Abstract

We investigated the impact of tumor burden on muscle wasting in metastatic (m) and xenograft (x) models of colorectal cancer (CRC). Male Nod SCID γ and CD2F1 mice were injected subcutaneously or intrasplenically with HCT116 or C26 tumor cells, respectively. CRC tumors resulted in significant muscle wasting regardless of tumor type or model, although muscle loss was exacerbated in mHCT116 hosts. The mHCT116 model decreased ribosomal (r)RNA content and rDNA transcription, whereas the mC26 model showed no loss of rRNA and the upregulation of rDNA transcription. The xHCT116 model reduced mTOR, RPS6, and 4E-BP1 phosphorylation, whereas the mHCT116 model had a similar effect on RPS6 and 4E-BP1 without altering mTOR phosphorylation. The C26 models caused a reduction in 4E-BP1 phosphorylation independent of mTOR. Muscle interleukin (IL)-6 mRNA was elevated in all models except xHCT116, and the NOD-, LRR-, and pyrin domain-containing protein 3 (NLRP3) mRNA was induced only in the mC26 model. IL-1β mRNA increased in all groups with greater expression in metastatic relative to the xenograft model regardless of tumor types. Our findings indicate that HCT116 tumor burden results in more drastic muscle wasting and anabolic deficits, whereas C26 tumor burden causes similar muscle wasting but exhibits a divergent proinflammatory phenotype. These results highlight potentially important divergence in the pathogenesis of muscle wasting among preclinical models of CRC and demonstrate that tumor burden plays a role in determining anabolic deficits and the expression of proinflammatory effectors of muscle wasting in a tumor-type-dependent manner.

Indexed as

CachexiaColorectal NeoplasmsAnimalsDisease Models, AnimalDNA, RibosomalHeterograftsHumansInterleukin-6MaleMiceMice, SCIDMuscle, SkeletalMuscular AtrophyRNA, MessengerTOR Serine-Threonine KinasesDNA, RibosomalInterleukin-6RNA, MessengerTOR Serine-Threonine Kinasescachexiacolon cancercolorectal cancerinflammationmuscle wastingribosomal RNA

Identifiers

PMID36201323
PMCPMC9678410
OpenAlexW4302363043

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.