Evidence map›Paper›PMID 38053143›Full record

ArticleEuropean journal of medical research2023

An integrative evaluation of circadian gene TIMELESS as a pan-cancer immunological and predictive biomarker.

Yaocheng Yang, Xianzhe Tang, Zhengjun Lin, Tao Zheng, Sheng Zhang, Tang Liu, Xiaolun Yang

Open access · goldAbstract read
In one paragraph

Article in European journal of medical research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 28% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Review
  3. TIMELESS as a prognostic biomarker and therapeutic target in gastric cancer.Journal, genetic engineering & biotechnology · 2025
    Article
  4. Article
  5. 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

7 authors at 3 institutions in 1 country.

Yaocheng YangDepartment of Orthopedics, The Second Xiangya Hospital, Central South University, 136 Renmin Middle Road, Changsha, Hunan, 410011, People's Republic of China.
Xianzhe TangDepartment of Orthopedics, Chenzhou First People's Hospital, Chenzhou, Hunan, China.
Zhengjun LinDepartment of Orthopedics, The Second Xiangya Hospital, Central South University, 136 Renmin Middle Road, Changsha, Hunan, 410011, People's Republic of China.
Tao ZhengDepartment of Orthopedics, The Second Xiangya Hospital, Central South University, 136 Renmin Middle Road, Changsha, Hunan, 410011, People's Republic of China.
Sheng ZhangDepartment of Oral and Maxillofacial Surgery, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Tang LiuDepartment of Orthopedics, The Second Xiangya Hospital, Central South University, 136 Renmin Middle Road, Changsha, Hunan, 410011, People's Republic of China.
Xiaolun YangDepartment of Stomatology, The Second Xiangya Hospital, Central South University, 136 Renmin Middle Road, Changsha, Hunan, 410011, People's Republic of China. yangxiaolunyy@csu.edu.cn.
Central South University · CNSecond Xiangya Hospital of Central South University · CNChenzhou First People's Hospital · CN

Funding

Natural Science Foundation of Hunan Province NO. 2023JJ60433
6 · The paper itself

Abstract

backgroundThe gene TIMELESS, which is involved in the circadian clock and the cell cycle, has recently been linked to various human cancers. Nevertheless, the association between TIMELESS expression and the prognosis of individuals afflicted with pan-cancer remains largely unknown.

objectivesThe present study aims to exhaustively scrutinize the expression patterns, functional attributes, prognostic implications, and immunological contributions of TIMELESS across diverse types of human cancer.

methodsThe expression of TIMELESS in normal and malignant tissues was examined, as well as their clinicopathologic and survival data. The characteristics of genetic alteration and molecular subtypes of cancers were also investigated. In addition, the relationship of TIMELESS with immune infiltration, tumor mutation burden (TMB), microsatellite instability (MSI), and drug sensitivity was illustrated. Immunohistochemistry (IHC) was used to validate the expression of TIMELESS in clinical patients with several types of cancer.

resultsIn contrast to the matching normal controls, most tumor types were found to often overexpress TIMELESS. Abnormal expression of TIMELESS was significantly related to more advanced tumor stage and poorer prognosis of breast cancer, as well as infiltrating immune cells such as cancer-associated fibroblast infiltration in various tumors. Multiple cancer types exhibited abnormal expression of TIMELESS, which was also highly correlated with MSI and TMB. More crucially, TIMELESS showed promise in predicting the effectiveness of immunotherapy and medication sensitivity in cancer therapy. Moreover, cell cycle, DNA replication, circadian rhythm, and mismatch repair were involved in the functional mechanisms of TIMELESS on carcinogenesis. Furthermore, immunohistochemical results manifested that the TIMELESS expression was abnormal in some cancers.

conclusionsThis study provides new insights into the link between the circadian gene TIMELESS and the development of various malignant tumors. The findings suggest that TIMELESS could be a prospective prognostic and immunological biomarker for pan-cancer.

Indexed as

Breast NeoplasmsBiomarkersCarcinogenesisCell CycleCell Cycle ProteinsFemaleHumansIntracellular Signaling Peptides and ProteinsPrognosisProspective StudiesBiomarkersCell Cycle ProteinsIntracellular Signaling Peptides and ProteinsTIMELESS protein, humanCircadian rhythmImmunological biomarkerPan-cancerPrognosisTIMELESS

Identifiers

PMID38053143
PMCPMC10696727
OpenAlexW4389333780

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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.