Evidence mapPaperPMID 39639273Full record

ArticleBMC cancer2024

Metabolism and spatial transcription resolved heterogeneity of glutamine metabolism in cervical carcinoma.

Qian Liu, Jiayu Zhu, Guzalinuer Abulizi, Ayshamgul Hasim

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Article in BMC cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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5 citing papers in PubMed.

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  5. Translational andrology and urology · 2025
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5 · Who and what money

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4 authors.

Qian LiuDepartment of Basic Medicine, Xinjiang Medical University and Xinjiang Key Laboratory of Molecular Biology of Endemic Diseases, Urumqi, China.
Jiayu ZhuDepartment of Basic Medicine, Xinjiang Medical University and Xinjiang Key Laboratory of Molecular Biology of Endemic Diseases, Urumqi, China.
Guzalinuer AbuliziFifth Department of Gynecologic Surgery, Xinjiang Medical University Affiliated Tumor Hospital, Urumqi, China. gzlnr@qq.com.
Ayshamgul HasimDepartment of Basic Medicine, Xinjiang Medical University and Xinjiang Key Laboratory of Molecular Biology of Endemic Diseases, Urumqi, China. axiangu@xjmu.edu.cn.

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6 · The paper itself

Abstract

backgroundReprogramming of cellular metabolism is a pivotal mechanism employed by tumor cells to facilitate cell growth, proliferation, and differentiation, thereby propelling the progression of cancer. A comprehensive analysis of the transcriptional and metabolic landscape of cervical squamous cell carcinoma (CSCC) at high resolution could greatly enhance the precision of management and therapeutic strategies for this malignancy.

methodsThe Air-flow-assisted Desorption Electrospray Ionization Mass Spectro-metric Imaging (AFADESI-MSI) and Spatial Transcriptomics techniques (ST) were employed to investigate the metabolic and transcription profiles of CSCC and normal tissues. For clinical validation, the expression of ASCT2(Ala, Ser, Cys transporter 2) was assessed using immune histochemistry in 122 cases of cervical cancer and 30 cases of cervicitis.

resultsThe AFADESI-MSI findings have revealed metabolic differences among different CSCC patients. Among them, the metabolic pathways of glutamine show more significant differences. After in situ detection of metabolites, the intensity of glutamate is observed to be significantly higher in cancerous tissue compared to normal tissue, but the intensity is not uniform. To elucidate the potential factors underlying alterations in glutamine metabolism across tissues, we employ ST to quantify mRNA levels. This analysis unveils significant perturbations in glutamine metabolism accompanied by extensive heterogeneity within cervical cancer tissues. After conducting a comprehensive analysis, it has been revealed that the differential expression of ASCT2(encoded by SLC1A5) in distinct regions of cervical cancer tissues plays a pivotal role in inducing heterogeneity in glutamine metabolism. Furthermore, the higher the expression level of ASCT2, the higher the intensity of glutamate is in the region. Further verification, it is found that the expression of ASCT2 protein in CSCC tissues is significantly higher than that in normal tissues (105/122, 86.07%).

conclusionsThis finding suggests that the variation in glutamine metabolism is not uniform throughout the tumor. The differential expression of ASCT2 in different regions of cervical cancer tissues seems to play a key role in causing this heterogeneity. This research has opened up new avenues for exploring the glutamine metabolic characteristics of CSCC which is essential for developing more effective targeted therapies.

Indexed as

Amino Acid Transport System ASCCarcinoma, Squamous CellGlutamineMinor Histocompatibility AntigensUterine Cervical NeoplasmsFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMetabolic Networks and PathwaysMiddle AgedSpectrometry, Mass, Electrospray IonizationTranscriptomeAmino Acid Transport System ASCGlutamineMinor Histocompatibility AntigensSLC1A5 protein, humanAFADESI-MSICervical carcinomaGlutamine metabolismHeterogeneityST

Identifiers

PMID39639273
PMCPMC11622669

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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 Socratic graph.