Evidence map›Paper›PMID 39769193›Full record

ArticleInternational journal of molecular sciences2024

Association of Computed Tomography Scan-Assessed Body Composition with Immune and PI3K/AKT Pathway Proteins in Distinct Breast Cancer Tumor Components.

Ting-Yuan David Cheng, Dongtao Ann Fu, Sara M Falzarano, Runzhi Zhang, Susmita Datta, Weizhou Zhang, Angela R Omilian, Livingstone Aduse-Poku, Jiang Bian, Jerome Irianto and 2 more

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2024. 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. Observational
  2. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Ting-Yuan David ChengDivision of Cancer Prevention and Control, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, OH 43201, USA.ORCID 0000-0002-4105-828X
Dongtao Ann FuDepartment of Pathology, Immunology and Laboratory Medicine, College of Medicine, University of Florida, Gainesville, FL 32611, USA.
Sara M FalzaranoDepartment of Pathology, Immunology and Laboratory Medicine, College of Medicine, University of Florida, Gainesville, FL 32611, USA.ORCID 0000-0003-1559-7754
Runzhi ZhangDepartment of Biostatistics, College of Public Health & Health Professions & College of Medicine, University of Florida, Gainesville, FL 32611, USA.
Susmita DattaDepartment of Biostatistics, College of Public Health & Health Professions & College of Medicine, University of Florida, Gainesville, FL 32611, USA.
Weizhou ZhangDepartment of Pathology, Immunology and Laboratory Medicine, College of Medicine, University of Florida, Gainesville, FL 32611, USA.ORCID 0000-0002-8236-0346
Angela R OmilianDepartment of Cancer Prevention and Control, Roswell Park Comprehensive Cancer Center, Buffalo, NY 14203, USA.
Livingstone Aduse-PokuDepartment of Epidemiology, College of Public Health & Health Professions & College of Medicine, University of Florida, Gainesville, FL 32611, USA.ORCID 0000-0001-9787-1731
Jiang BianDepartment of Health Outcomes & Biomedical Informatics, College of Medicine, University of Florida, Gainesville, FL 32611, USA.ORCID 0000-0002-2238-5429
Jerome IriantoDepartment of Biomedical Sciences, College of Medicine, Florida State University, Tallahassee, FL 32306, USA.ORCID 0000-0002-4804-7225
Jaya Ruth AsirvathamDepartment of Pathology, Baylor, Scott & White Health, Temple, TX 76502, USA.
Martha Campbell-ThompsonDepartment of Pathology, Immunology and Laboratory Medicine, College of Medicine, University of Florida, Gainesville, FL 32611, USA.

Funding

Using social networks to map and evaluate team science across CTSA hubsUL1TR001427 · NCATS · UNIVERSITY OF FLORIDA · PI MITCHELL, DUANE A. · 2015 to 2024
$37.2M
Energy Balance, mTOR pathway signaling, and breast cancer prognosisR37CA248371 · NCI · UNIVERSITY OF FLORIDA · PI Ting-Yuan Cheng · 2021 to 2026
$4.2M
15/24- Healthy Brain and Child Development National ConsortiumU01DA055358 · NIDA · UNIVERSITY OF FLORIDA · PI GURKA, KELLY K., SCOTT, LISA S. · 2021 to 2023
$3.7M
Proteolysis-targeting chimera against BCL-XL inhibits breast cancer metastasisR01CA260239 · NCI · UNIVERSITY OF FLORIDA · PI ZHANG, WEIZHOU · 2021 to 2025
$2.5M
NCATS NIH HHS UL1 TR001427NCI NIH HHS R01 CA260239NCI NIH HHS R37 CA248371NIDA NIH HHS U01 DA055358NIH HHS 1R37CA248371-02A1University of Florida Clinical and Translational Science Institute Precision Medicine Pilot Award
6 · The paper itself

Abstract

This hypothesis-generating study aims to examine the extent to which computed tomography-assessed body composition phenotypes are associated with immune and phosphoinositide 3-kinase (PI3K)/protein kinase B (AKT) signaling pathways in breast tumors. A total of 52 patients with newly diagnosed breast cancer were classified into four body composition types: adequate (lowest two tertiles of total adipose tissue [TAT]) and highest two tertiles of total skeletal muscle [TSM] areas); high adiposity (highest tertile of TAT and highest two tertiles of TSM); low muscle (lowest tertile of TSM and lowest two tertiles of TAT); and high adiposity with low muscle (highest tertile of TAT and lowest tertile of TSM). Immune and PI3K/AKT pathway proteins were profiled in tumor epithelium and the leukocyte-enriched stromal microenvironment using GeoMx (NanoString). Linear mixed models were used to compare log2-transformed protein levels. Compared with the normal type, the low muscle type was associated with higher expression of INPP4B (log2-fold change = 1.14,

Indexed as

Body CompositionBreast NeoplasmsPhosphatidylinositol 3-KinasesProto-Oncogene Proteins c-aktSignal TransductionTomography, X-Ray ComputedAdipose TissueAdultAgedFemaleHumansMiddle AgedTumor MicroenvironmentPhosphatidylinositol 3-KinasesProto-Oncogene Proteins c-aktadipose tissuebreast cancerphosphoinositide 3-kinasesskeletal muscletumor immune microenvironment

Identifiers

PMID39769193
PMCPMC11676426

What OpenQuestion holds

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Registered trials

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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 OpenQuestion graph.