Evidence map›Paper›PMID 29144383›Full record

ReviewMetabolites2017

Monitoring for Response to Antineoplastic Drugs: The Potential of a Metabolomic Approach.

Jodi Rattner, Oliver F Bathe

Open access · goldAbstract readReview
In one paragraph

Review in Metabolites, 2017. 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
1.6field-weighted citation impact, top 15% 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

9 citing papers in PubMed, 17 citations in OpenAlex.

  1. Review
  2. Metabolomic Signatures of Treatment Response in Bladder Cancer.International journal of molecular sciences · 2023
    Review
  3. Journal of pharmaceutical analysis · 2023
    Article
  4. Article
  5. Review
  6. Article
  7. NMR-Based Metabolomics in Metal-Based Drug Research.Molecules (Basel, Switzerland) · 2019
    Review
  8. Article
  9. Evaluation of the effect of 2-(2,4-dihydroxyphenyl)-4Medicinal chemistry research : an international journal for rapid communications on design and mechanisms of action of biologically active agents · 2018
    Article
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 1 institution in 1 country.

Jodi RattnerArnie Charbonneau Cancer Institute, University of Calgary, Calgary, AB T2N 4N2, Canada. jodi.rattner1@ucalgary.ca.
Oliver F BatheArnie Charbonneau Cancer Institute, University of Calgary, Calgary, AB T2N 4N2, Canada. bathe@ucalgary.ca.ORCID 0000-0003-2305-4602
University of Calgary · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

For most cancers, chemotherapeutic options are rapidly expanding, providing the oncologist with substantial choices. Therefore, there is a growing need to select the best systemic therapy, for any individual, that effectively halts tumor progression with minimal toxicity. Having the capability to predict benefit and to anticipate toxicity would be ideal, but remains elusive at this time. An alternative approach is an adaptive approach that involves close observation for treatment response and emergence of resistance. Currently, response to systemic therapy is estimated using radiographic tests. Unfortunately, radiographic estimates of response are imperfect and radiographic signs of response can be delayed. This is particularly problematic for targeted agents, as tumor shrinkage is often not apparent with these drugs. As a result, patients are exposed to prolonged courses of toxic drugs that may ultimately be found to be ineffective. A biomarker-based adaptive strategy that involves the serial analysis of the metabolome is attractive. The metabolome changes rapidly with changes in physiology. Changes in the circulating metabolome associated with various antineoplastic agents have been described, but further work will be required to understand what changes signify clinical benefit. We present an investigative approach for the discovery and validation of metabolomic response biomarkers, which consists of serial analysis of the metabolome and linkage of changes in the metabolome to measurable therapeutic benefit. Potential pitfalls in the development of metabolomic biomarkers of response and loss of response are reviewed.

Indexed as

chemotherapymetabolomicsresponsetherapeutic benefit

Identifiers

PMID29144383
PMCPMC5746740
OpenAlexW2768643568

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.