Evidence map›Paper›PMID 29974151›Full record

ReviewAnalytical and bioanalytical chemistry2018

Employing proteomics to understand the effects of nutritional intervention in cancer treatment.

Monica M Schroll, Amanda B Hummon

Open access · greenAbstract readReview
In one paragraph

Review in Analytical and bioanalytical chemistry, 2018. 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
0.7field-weighted citation impact, top 30% 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, 8 citations in OpenAlex.

  1. Article
  2. Review
  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

2 authors at 2 institutions in 1 country.

Monica M SchrollDepartment of Chemistry and Biochemistry, University of Notre Dame, Notre Dame, IN, 46556, USA.
Amanda B HummonDepartment of Chemistry and Biochemistry, Comprehensive Cancer Center, The Ohio State University, Columbus, OH, 43210, USA. hummon.1@osu.edu.
The Ohio State University · USUniversity of Notre Dame · US

Funding

Translational Therapeutics Research Program (TT)P30CA016058 · NCI · OHIO STATE UNIVERSITY · PI Daniel G. Stover · 1985 to 2026
$132.3M
Chemistry-Biochemistry-Biology Training Program at Notre DameT32GM075762 · NIGMS · UNIVERSITY OF NOTRE DAME · PI CHANG, MAYLAND F, MOBASHERY, SHAHRIAR · 2007 to 2021
$3.7M
Spatial SILAC: Examining the Proteome in 3D Cell CulturesR01GM110406 · NIGMS · UNIVERSITY OF NOTRE DAME · PI HUMMON, AMANDA B. · 2014 to 2022
$3.0M
Directorate for Biological Sciences CHE-1351595Division of Chemistry CHE-1351595NCI NIH HHS P30 CA016058NIGMS NIH HHS R01 GM110406NIGMS NIH HHS R01GM110406NIGMS NIH HHS T32 GM075762NIGMS NIH HHS T32GM075762
6 · The paper itself

Abstract

Lifestyle optimizations are implementable changes that can have an impact on health and disease. Nutrition is a lifestyle optimization that has been shown to be of great importance in cancer initiation, progression, and metastasis. Dozens of clinical trials are currently in progress that focus on the nutritional modifications that cancer patients can make prior to and during medical care that increase the efficacy of treatment. In this review, we discuss various nutritional inventions for cancer patients and the analytical approaches to characterize the downstream molecular effects. We first begin by briefly explaining the many different forms of nutritional intervention currently being used in cancer treatment as well as their motivating biology. The forms of nutrient modulation described in this review include calorie restriction, the different practices of fasting, and carbohydrate restriction. The review then shifts to explain how proteomics is used to determine biomarkers of cancer and how it can be utilized in the future to determine the metabolic phenotype of a tumor, and inform physicians if nutritional intervention should be recommended for a cancer patient. Nutrigenomics aims to understand the relationship of nutrients and gene expression and can be used to understand the downstream molecular effects of nutrition restriction, partially through proteomic analysis. Proteomics is just beginning to be used as cancer diagnostic and predictive tools. However, these approaches have not been used to their full potential to understand nutritional intervention in cancer. Graphical abstract ᅟ.

Indexed as

Diet TherapyNutrition PolicyHumansNeoplasmsProteomicsCancerFastingMass spectrometryNutritionNutritional proteomics

Identifiers

PMID29974151
PMCPMC9361087
OpenAlexW2810950018

What OpenQuestion holds

Textmetadata
LicenceTDM
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.