Evidence map›Paper›PMID 37772396›Full record

ArticleMolecular medicine reports2023

Metabolomics analyses of cancer tissue from patients with colorectal cancer.

Chunbo Kang, Jie Zhang, Mei Xue, Xiaowei Li, Danyang Ding, Ye Wang, Shujing Jiang, Fong-Fong Chu, Qiang Gao, Mengqiao Zhang

Open access · hybridAbstract read
In one paragraph

Article in Molecular medicine reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.8field-weighted citation impact, top 14% 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

12 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. 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

10 authors at 4 institutions in 3 countries.

Chunbo KangDepartment of Surgery, Center of Gastrointestinal Rehabilitation, Beijing Rehabilitation Hospital, Capital Medical University, Beijing 100144, P.R. China.
Jie ZhangDepartment of Surgery, Center of Gastrointestinal Rehabilitation, Beijing Rehabilitation Hospital, Capital Medical University, Beijing 100144, P.R. China.
Mei XueDepartment of Gastroenterology and Hepatology, Center of Gastrointestinal Rehabilitation, Beijing Rehabilitation Hospital, Capital Medical University, Beijing 100144, P.R. China.
Xiaowei LiDepartment of Surgery, Center of Gastrointestinal Rehabilitation, Beijing Rehabilitation Hospital, Capital Medical University, Beijing 100144, P.R. China.
Danyang DingDepartment of Surgery, Center of Gastrointestinal Rehabilitation, Beijing Rehabilitation Hospital, Capital Medical University, Beijing 100144, P.R. China.
Ye WangDepartment of Surgery, Center of Gastrointestinal Rehabilitation, Beijing Rehabilitation Hospital, Capital Medical University, Beijing 100144, P.R. China.
Shujing JiangDepartment of Acute Medicine, Queen Elizabeth Hospital, London SE18 4QH, UK.
Fong-Fong ChuDepartment of Cancer Genetics and Epigenetics, Beckman Research Institute of The City of Hope, Duarte, CA 91010, USA.
Qiang GaoDepartment of Surgery, Center of Gastrointestinal Rehabilitation, Beijing Rehabilitation Hospital, Capital Medical University, Beijing 100144, P.R. China.
Mengqiao ZhangDepartment of Gastroenterology and Hepatology, Center of Gastrointestinal Rehabilitation, Beijing Rehabilitation Hospital, Capital Medical University, Beijing 100144, P.R. China.
Capital Medical University · CNChina Rehabilitation Research Center · CNCity of Hope · USQueen Elizabeth Hospital · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The alteration of metabolism is essential for the initiation and progression of numerous types of cancer, including colorectal cancer (CRC). Metabolomics has been used to study CRC. At present, the reprogramming of the metabolism in CRC remains to be fully elucidated. In the present study, comprehensive untargeted metabolomics analysis was performed on the paired CRC tissues and adjacent normal tissues from patients with CRC (n=35) using ultra‑high‑performance liquid chromatography‑mass spectrometry. Subsequently, bioinformatic analysis was performed on the differentially expressed metabolites. The changes in these differential metabolites were compared among groups of patients based on sex, anatomical tumor location, grade of tumor differentiation and stage of disease. A total of 927 metabolites were detected in the tissue samples, and 24 metabolites in the CRC tissue were significantly different compared with the adjacent normal tissue. The present study revealed that the levels of three amino acid metabolites were increased in the CRC tissue, specifically, N‑α‑acetyl‑ε‑(2‑propenal)‑Lys, cyclo(Glu‑Glu) and cyclo(Phe‑Glu). The metabolites with decreased levels in the CRC tissue included quinaldic acid (also referred to as quinoline‑2‑carboxilic acid), 17α‑ and 17β‑estradiol, which are associated with tumor suppression activities, as well as other metabolites such as, anhydro‑β‑glucose, Asp‑Arg, lysophosphatidylcholine, lysophosphatidylethanolamine (lysoPE), lysophosphatidylinositol, carnitine, 5'‑deoxy‑5'‑(methylthio) adenosine, 2'‑deoxyinosine‑5'‑monophosphate and thiamine monophosphate. There was no difference in the levels of the differential metabolites between male and female patients. The differentiation of CRC also showed no impact on the levels of the differential metabolites. The levels of lysoPE were increased in the right side of the colon compared with the left side of the colon and rectum. Analysis of the different tumor stages indicated that 2‑aminobenzenesulfonic acid, P‑sulfanilic acid and quinoline‑4‑carboxylic acid were decreased in stage I CRC tissue compared with stage II, III and IV CRC tissue. The levels of N‑α‑acetyl‑ε‑(2‑propenal)‑Lys, methylcysteine and 5'‑deoxy‑5'‑(methylthio) adenosine varied at different stages of tumorigenesis. These differential metabolites were implicated in multiple metabolism pathways, including carbohydrate, amino acid, lipid, nucleotide and hormone. In conclusion, the present study demonstrated that CRC tumors had altered metabolites compared with normal tissue. The data from the metabolic profile of CRC tissues in the present study provided supportive evidence to understand tumorigenesis.

Indexed as

AcroleinColorectal NeoplasmsAmino AcidsCarcinogenesisFemaleHumansMaleMetabolomicsAcroleinAmino Acidscolorectal cancermass spectrometrymetabolitestissue metabolomicsultra‑high‑performance liquid chromatography

Identifiers

PMID37772396
PMCPMC10568249
OpenAlexW4387099663

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.