Evidence map›Paper›PMID 30939138›Full record

ArticlePloS one2019

A strategy for early detection of response to chemotherapy drugs based on treatment-related changes in the metabolome.

Shahil Amin, Jodi Rattner, Mohammad Reza Keramati, Farshad Farshidfar, Mairéad G McNamara, Jennifer J Knox, Karen Kopciuk, Hans J Vogel, Oliver F Bathe

Abstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Trial
  2. Article
  3. Review
  4. Article
  5. Article
  6. Modeling the Th17 and Tregs Paradigm: Implications for Cancer Immunotherapy.Frontiers in cell and developmental biology · 2021
    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

9 authors.

Shahil AminArnie Charbonneau Cancer Institute, University of Calgary, Calgary, Canada.
Jodi RattnerArnie Charbonneau Cancer Institute, University of Calgary, Calgary, Canada.
Mohammad Reza KeramatiArnie Charbonneau Cancer Institute, University of Calgary, Calgary, Canada.
Farshad FarshidfarArnie Charbonneau Cancer Institute, University of Calgary, Calgary, Canada.ORCID 0000-0003-3674-7336
Mairéad G McNamaraDepartment of Medical Oncology, The Christie NHS Foundation Trust and Division of Cancer Sciences, University of Manchester, Manchester, United Kingdom.
Jennifer J KnoxDepartment of Oncology, Princess Margaret Cancer Centre and University of Toronto, Toronto, Canada.
Karen KopciukDepartment of Mathematics and Biostatistics, University of Calgary, Calgary, Canada.
Hans J VogelDepartment of Biological Sciences, University of Calgary, Calgary, Canada.
Oliver F BatheArnie Charbonneau Cancer Institute, University of Calgary, Calgary, Canada.ORCID 0000-0003-2305-4602

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We describe a biomarker-based approach to delivering chemotherapy that entails monitoring treatment changes in the circulating metabolome that reflect efficacy. In-vitro, multiple tumor cell lines were exposed to numerous chemotherapeutics. Supernatants were collected at baseline and 72 hours post treatment. MTT assays were used to quantify growth inhibition. Clinical samples were derived from a phase II clinical trial of second-line axitinib in patients with advanced hepatocellular carcinoma. Sera were collected at baseline and 2-4 weeks after treatment initiation. Response to therapy was estimated by CT scan at 8 weeks. Samples were analyzed by gas chromatography-mass spectrometry to identify metabolomic changes associated with response. In vitro, we found drug-specific and generalizable patterns of change in the extracellular metabolome accompany growth inhibition. A cell death signature was also identified. This approach was also applied to clinical samples. While the in vitro signatures were detectable in vivo, a more robust signal was identified clinically that appeared within 4 weeks of administering drug that distinguished individuals with a treatment response. These changes were extinguished as tumor growth resumed. Serial monitoring of the metabolome during chemotherapy is a means to follow treatment efficacy and emergence of resistance, informing the oncologist whether to modify treatment.

Indexed as

Antineoplastic AgentsApoptosisAxitinibBiomarkers, TumorCarcinoma, HepatocellularCell Line, TumorClinical Trials, Phase II as TopicDisease ProgressionDrug MonitoringDrug Resistance, NeoplasmHumansLiver NeoplasmsMetabolomeMetabolomicsTreatment OutcomeAntineoplastic AgentsAxitinibBiomarkers, Tumor

Identifiers

PMID30939138
PMCPMC6445409

What OpenQuestion holds

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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 OpenQuestion graph.