Evidence map›Paper›PMID 39538085›Full record

ReviewDiscover oncology2024

Understanding serine and glycine metabolism in cancer: a path towards precision medicine to improve patient's outcomes.

Anaís Sánchez-Castillo, Kim R Kampen

Abstract readReview
In one paragraph

Review in Discover oncology, 2024. 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
–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

9 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
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  9. 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.

Anaís Sánchez-CastilloDepartment of Radiation Oncology (MAASTRO), GROW School for Oncology and Reproduction, Maastricht University Medical Center, Maastricht University, Maastricht, The Netherlands.
Kim R KampenDepartment of Radiation Oncology (MAASTRO), GROW School for Oncology and Reproduction, Maastricht University Medical Center, Maastricht University, Maastricht, The Netherlands. k.kampen@maastrichtuniversity.nl.

Funding

Federation European Biochemical Societies excellence awardKoninklijke Nederlandse Akademie van Wetenschappen early career award
6 · The paper itself

Abstract

In this perspective, we highlight and reflect on the current knowledge with respect to serine/glycine metabolism in cancer, therapeutic resistance, and precision medicine opportunities for therapeutic targeting and treatment follow-up. Cancer subtypes with high mortality rates include lung cancer and glioblastomas. In order to improve future therapeutic opportunities, patient stratification need to be performed to select patients that might benefit from adjuvant serine/glycine targeting compounds. In an effort to identify the group of patients for stratification purposes, we analyzed publicly available TCGA patient datasets to test associations between serine/glycine metabolism enzyme expression and important cancer drivers in lung cancer and glioblastoma. These patients presenting serine/glycine pathway overexpression might benefit from adjuvant sertraline treatment in the future.

Identifiers

PMID39538085
PMCPMC11561223

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.