Evidence map›Paper›PMID 32047547›Full record

ReviewJournal of Cancer2020

The Molecular Mechanism of Metabolic Remodeling in Lung Cancer.

Ligong Chang, Surong Fang, Wei Gu

Abstract readReview
In one paragraph

Review in Journal of Cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Article
  2. In Vitro Cytotoxic Activity ofMolecules (Basel, Switzerland) · 2026
    Article
  3. Review
  4. Heliyon · 2024
    Article
  5. Article
  6. Article
  7. Ubiquitination Links DNA Damage and Repair Signaling to Cancer Metabolism.International journal of molecular sciences · 2023
    Review
  8. Guidelines on lung adenocarcinoma prognosis based on immuno-glycolysis-related genes.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2023
    Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. Review
  15. Article
  16. LCMD: Lung Cancer Metabolome Database.Computational and structural biotechnology journal · 2022
    Article
  17. Article
  18. Review
  19. Article
  20. 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

3 authors.

Ligong ChangDepartment of Respiratory Medicine, Nanjing First Hospital, Nanjing Medical University. No. 68 Changle Road, Qinhuai District, Nanjing 210001,People's Republic of China.
Surong FangDepartment of Respiratory Medicine, Nanjing First Hospital, Nanjing Medical University. No. 68 Changle Road, Qinhuai District, Nanjing 210001,People's Republic of China.
Wei GuDepartment of Respiratory Medicine, Nanjing First Hospital, Nanjing Medical University. No. 68 Changle Road, Qinhuai District, Nanjing 210001,People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolic remodeling is a key phenomenon in the occurrence and development of tumors. It not only offers materials and energy for the survival and proliferation of tumor cells, but also protects tumor cells so that they may survive, proliferate and transfer in the harsh microenvironment. This paper attempts to reveal the role of abnormal metabolism in the development of lung cancer by considering the processes of glycolysis and lipid metabolism, Identification of the molecules that are specifically used in the processes of glycolysis and lipid metabolism, and their underlying molecular mechanisms, is of great clinical and theoretical significance. We will focus on the recent progress in elucidating the molecular mechanism of metabolic remodeling in lung cancer.

Indexed as

GlycolysisLipid metabolismLung cancerMolecular mechanism

Identifiers

PMID32047547
PMCPMC6995370

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.