Evidence map›Paper›PMID 38886346›Full record

ArticleInternational journal of oral science2024

Integrative single-cell and bulk transcriptomes analyses reveals heterogeneity of serine-glycine-one-carbon metabolism with distinct prognoses and therapeutic vulnerabilities in HNSCC.

Lixuan Wang, Rongchun Yang, Yue Kong, Jing Zhou, Yingyao Chen, Rui Li, Chuwen Chen, Xinran Tang, Xiaobing Chen, Juan Xia and 3 more

Abstract read
In one paragraph

Article in International journal of oral science, 2024. 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
–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

12 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Cancer metabolism: bridging tumorigenesis mechanisms to treatment susceptibility.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. Review
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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

13 authors.

Lixuan Wang *Hospital of Stomatology, Sun Yat-Sen University, Guangzhou, China.
Rongchun Yang *Hospital of Stomatology, Sun Yat-Sen University, Guangzhou, China.
Yue KongHospital of Stomatology, Sun Yat-Sen University, Guangzhou, China.
Jing ZhouHospital of Stomatology, Sun Yat-Sen University, Guangzhou, China.
Yingyao ChenHospital of Stomatology, Sun Yat-Sen University, Guangzhou, China.
Rui LiDepartment of Radiation Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Chuwen ChenHospital of Stomatology, Sun Yat-Sen University, Guangzhou, China.
Xinran TangDepartment of Radiation Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Xiaobing ChenHospital of Stomatology, Sun Yat-Sen University, Guangzhou, China.
Juan XiaHospital of Stomatology, Sun Yat-Sen University, Guangzhou, China.
Xijuan ChenHospital of Stomatology, Sun Yat-Sen University, Guangzhou, China.
Bin ChengHospital of Stomatology, Sun Yat-Sen University, Guangzhou, China. chengbin@mail.sysu.edu.cn.
Xianyue RenHospital of Stomatology, Sun Yat-Sen University, Guangzhou, China. renxy7@mail.sysu.edu.cn.ORCID 0000-0002-1845-0814

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolic heterogeneity plays a central role in sustaining uncontrolled cancer cell proliferation and shaping the tumor microenvironment (TME), which significantly compromises the clinical outcomes and responses to therapy in head and neck squamous cell carcinoma (HNSCC) patients. This highlights the urgent need to delineate the intrinsic heterogeneity and biological roles of metabolic vulnerabilities to advance precision oncology. The metabolic heterogeneity of malignant cells was identified using single-cell RNA sequencing (scRNA-seq) profiles and validated through bulk transcriptomes. Serine-glycine-one-carbon (SGOC) metabolism was screened out to be responsible for the aggressive malignant properties and poor prognosis in HNSCC patients. A 4-SGOC gene prognostic signature, constructed by LASSO-COX regression analysis, demonstrated good predictive performance for overall survival and therapeutic responses. Patients in the low-risk group exhibited greater infiltration of exhausted CD8

Indexed as

Head and Neck NeoplasmsSerineSingle-Cell AnalysisSquamous Cell Carcinoma of Head and NeckAnimalsCarbonCell Line, TumorCell ProliferationGlycineHumansPrognosisTranscriptomeTumor MicroenvironmentCarbonGlycineSerine

Identifiers

PMID38886346
PMCPMC11183126

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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.