Evidence map›Paper›PMID 36811010›Full record

ReviewPeerJ2023

Advances in the study of aerobic glycolytic effects in resistance to radiotherapy in malignant tumors.

Yuyi Liu, Zhengfu Feng, Pingmei Zhang, Honghao Chen, Song Zhu, Xin Wang

Abstract readReview
In one paragraph

Review in PeerJ, 2023. 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. Review
  5. Article
  6. 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

6 authors.

Yuyi LiuDepartment of Radiotherapy, The Sixth Affiliated Hospital of Guangzhou Medical University, Qingyuan, China.
Zhengfu FengDepartment of Radiotherapy, The Sixth Affiliated Hospital of Guangzhou Medical University, Qingyuan, China.
Pingmei ZhangDepartment of Radiotherapy, The Sixth Affiliated Hospital of Guangzhou Medical University, Qingyuan, China.
Honghao ChenDepartment of Radiotherapy, The Sixth Affiliated Hospital of Guangzhou Medical University, Qingyuan, China.
Song ZhuDepartment of Radiotherapy, The Sixth Affiliated Hospital of Guangzhou Medical University, Qingyuan, China.
Xin WangDepartment of Radiotherapy, The Sixth Affiliated Hospital of Guangzhou Medical University, Qingyuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aerobic glycolysis is a metabolic mode of tumor cells different from normal cells that plays an important role in tumor proliferation and distant metastasis. Radiotherapy has now become a routine and effective treatment for many malignancies, however, resistance to radiotherapy remains a major challenge in the treatment of malignant tumors. Recent studies have found that the abnormal activity of the aerobic glycolysis process in tumor cells is most likely involved in regulating chemoresistance and radiation therapy resistance in malignant tumors. However, research on the functions and mechanisms of aerobic glycolysis in the molecular mechanisms of resistance to radiotherapy in malignant tumors is still in its early stages. This review collects recent studies on the effects of aerobic glycolysis and radiation therapy resistance in malignant tumors, to further understand the progress in this area. This research may more effectively guide the clinical development of more powerful treatment plans for radiation therapy resistant subtypes of cancer patients, and take an important step to improve the disease control rate of radiation therapy resistant subtypes of cancer patients.

Indexed as

NeoplasmsRadiation ToleranceGlycolysisHumansAerobic glycolysisCancerMetabolic reprogrammingRadioresistance

Identifiers

PMID36811010
PMCPMC9939019

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.