Evidence map›Paper›PMID 38831193›Full record

ArticleClinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico2024

LC-MS metabolomics analysis of serum metabolites during neoadjuvant chemoradiotherapy in locally advanced rectal cancer.

Qiliang Peng, Lili Jiang, Yi Shen, Yao Xu, Xinan Shen, Li Zou, Yaqun Zhu, Yuntian Shen

Abstract read
PubMed Publisher
In one paragraph

Article in Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Qiliang Peng *Department of Radiotherapy and Oncology, The Second Affiliated Hospital of Soochow University, Suzhou, China.
Lili Jiang *Department of Oncology, Nantong Haimen District People's Hospital, Jiangsu, China.
Yi Shen *Department of Radiation Oncology, Suzhou Hospital, Affiliated Hospital of Medical School, Nanjing University, Suzhou, China.
Yao XuDepartment of Radiology, The Second Affiliated Hospital of Soochow University, Suzhou, China.
Xinan ShenDepartment of Radiotherapy and Oncology, The Second Affiliated Hospital of Soochow University, Suzhou, China.
Li ZouDepartment of Radiotherapy and Oncology, The Second Affiliated Hospital of Soochow University, Suzhou, China.
Yaqun ZhuDepartment of Radiotherapy and Oncology, The Second Affiliated Hospital of Soochow University, Suzhou, China. szzhuyaqun@sina.com.ORCID http://orcid.org/0000-0002-0952-7517
Yuntian ShenDepartment of Radiotherapy and Oncology, The Second Affiliated Hospital of Soochow University, Suzhou, China. shenyuntian2001@sina.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aimed to investigate the serum metabolite profiles during neoadjuvant chemoradiotherapy (NCRT) in locally advanced rectal cancer (LARC) using liquid chromatography-mass spectrometry (LC-MS) metabolomics analysis.

methods60 serum samples were collected from 20 patients with LARC before, during, and after radiotherapy. LC-MS metabolomics analysis was performed to identify the metabolite variations. Functional annotation was applied to discover altered metabolic pathways. The key metabolites were screened and their ability to predict sensitivity to radiotherapy was calculated using random forests and ROC curves.

resultsThe results showed that NCRT led to significant changes in the serum metabolite profiles. The serum metabolic profiles showed an apparent separation between different time points and different sensitivity groups. Moreover, the functional annotation showed that the differential metabolites were associated with a series of important metabolic pathways. Pre-radiotherapy (3Z,6Z)-3,6-Nonadiena and pro-radiotherapy 1-Hydroxyibuprofen showed good predictive performance in discriminating the sensitive and non-sensitive group to NCRT, with an AUC of 0.812 and 0.75, respectively. Importantly, the combination of different metabolites significantly increased the predictive ability.

conclusionThis study demonstrated the potential of LC-MS metabolomics for revealing the serum metabolite profiles during NCRT in LARC. The identified metabolites may serve as potential biomarkers and therapeutic targets for the management of this disease. Furthermore, the understanding of the affected metabolic pathways may help design more personalized therapeutic strategies for LARC patients.

Indexed as

ChemoradiotherapyMass SpectrometryMetabolomicsNeoadjuvant TherapyRectal NeoplasmsAdultAgedBiomarkers, TumorChromatography, LiquidFemaleHumansLiquid Chromatography-Mass SpectrometryMaleMetabolomeMiddle AgedROC CurveBiomarkers, TumorLiquid chromatography–mass spectrometryLocally advanced rectal cancerNeoadjuvant chemoradiotherapySerum metabolomics

Identifiers

What OpenQuestion holds

Textmetadata
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.