Glutamine metabolism prognostic index predicts tumour microenvironment characteristics and therapeutic efficacy in ovarian cancer Article Swipe
Lingling Gao
,
Zheng Wei
,
Feiquan Ying
,
Huang Lin
,
Jingni Zhang
,
Si Sun
,
Zehua Wang
,
Jing Cai
,
Yuan Zhang
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1111/jcmm.18198
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1111/jcmm.18198
Mounting evidence has highlighted the multifunctional characteristics of glutamine metabolism (GM) in cancer initiation, progression and therapeutic regimens. However, the overall role of GM in the tumour microenvironment (TME), clinical stratification and therapeutic efficacy in patients with ovarian cancer (OC) has not been fully elucidated. Here, three distinct GM clusters were identified and exhibited different prognostic values, biological functions and immune infiltration in TME. Subsequently, glutamine metabolism prognostic index (GMPI) was constructed as a new scoring model to quantify the GM subtypes and was verified as an independent predictor of OC. Patients with low‐GMPI exhibited favourable survival outcomes, lower enrichment of several oncogenic pathways, less immunosuppressive cell infiltration and better immunotherapy responses. Single‐cell sequencing analysis revealed a unique evolutionary trajectory of OC cells from high‐GMPI to low‐GMPI, and OC cells with different GMPI might communicate with distinct cell populations through ligand‐receptor interactions. Critically, the therapeutic efficacy of several drug candidates was validated based on patient‐derived organoids (PDOs). The proposed GMPI could serve as a reliable signature for predicting patient prognosis and contribute to optimising therapeutic strategies for OC.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1111/jcmm.18198
- https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/jcmm.18198
- OA Status
- gold
- Cited By
- 5
- References
- 59
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4393007462
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Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4393007462Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1111/jcmm.18198Digital Object Identifier
- Title
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Glutamine metabolism prognostic index predicts tumour microenvironment characteristics and therapeutic efficacy in ovarian cancerWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
-
2024-03-20Full publication date if available
- Authors
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Lingling Gao, Zheng Wei, Feiquan Ying, Huang Lin, Jingni Zhang, Si Sun, Zehua Wang, Jing Cai, Yuan ZhangList of authors in order
- Landing page
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https://doi.org/10.1111/jcmm.18198Publisher landing page
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/jcmm.18198Direct link to full text PDF
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/jcmm.18198Direct OA link when available
- Concepts
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Tumor microenvironment, Glutamine, Ovarian cancer, Immunotherapy, Biology, Cancer research, Immune system, Therapeutic index, Oncology, Cancer, Medicine, Internal medicine, Drug, Pharmacology, Immunology, Amino acid, BiochemistryTop concepts (fields/topics) attached by OpenAlex
- Cited by
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5Total citation count in OpenAlex
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2025: 2, 2024: 3Per-year citation counts (last 5 years)
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59Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.three | 47 |
| abstract_inverted_index.(GMPI) | 70 |
| abstract_inverted_index.(TME), | 29 |
| abstract_inverted_index.better | 110 |
| abstract_inverted_index.cancer | 13, 39 |
| abstract_inverted_index.immune | 61 |
| abstract_inverted_index.tumour | 27 |
| abstract_inverted_index.unique | 118 |
| abstract_inverted_index.(PDOs). | 157 |
| abstract_inverted_index.ovarian | 38 |
| abstract_inverted_index.overall | 21 |
| abstract_inverted_index.patient | 169 |
| abstract_inverted_index.scoring | 76 |
| abstract_inverted_index.several | 102, 148 |
| abstract_inverted_index.through | 140 |
| abstract_inverted_index.values, | 57 |
| abstract_inverted_index.Abstract | 0 |
| abstract_inverted_index.However, | 19 |
| abstract_inverted_index.Mounting | 1 |
| abstract_inverted_index.Patients | 92 |
| abstract_inverted_index.analysis | 115 |
| abstract_inverted_index.clinical | 30 |
| abstract_inverted_index.clusters | 50 |
| abstract_inverted_index.distinct | 48, 137 |
| abstract_inverted_index.efficacy | 34, 146 |
| abstract_inverted_index.evidence | 2 |
| abstract_inverted_index.patients | 36 |
| abstract_inverted_index.proposed | 159 |
| abstract_inverted_index.quantify | 79 |
| abstract_inverted_index.reliable | 165 |
| abstract_inverted_index.revealed | 116 |
| abstract_inverted_index.subtypes | 82 |
| abstract_inverted_index.survival | 97 |
| abstract_inverted_index.verified | 85 |
| abstract_inverted_index.different | 55, 132 |
| abstract_inverted_index.exhibited | 54, 95 |
| abstract_inverted_index.functions | 59 |
| abstract_inverted_index.glutamine | 9, 66 |
| abstract_inverted_index.oncogenic | 103 |
| abstract_inverted_index.organoids | 156 |
| abstract_inverted_index.outcomes, | 98 |
| abstract_inverted_index.pathways, | 104 |
| abstract_inverted_index.predictor | 89 |
| abstract_inverted_index.prognosis | 170 |
| abstract_inverted_index.regimens. | 18 |
| abstract_inverted_index.signature | 166 |
| abstract_inverted_index.validated | 152 |
| abstract_inverted_index.biological | 58 |
| abstract_inverted_index.candidates | 150 |
| abstract_inverted_index.contribute | 172 |
| abstract_inverted_index.enrichment | 100 |
| abstract_inverted_index.favourable | 96 |
| abstract_inverted_index.identified | 52 |
| abstract_inverted_index.low‐GMPI | 94 |
| abstract_inverted_index.metabolism | 10, 67 |
| abstract_inverted_index.optimising | 174 |
| abstract_inverted_index.predicting | 168 |
| abstract_inverted_index.prognostic | 56, 68 |
| abstract_inverted_index.responses. | 112 |
| abstract_inverted_index.sequencing | 114 |
| abstract_inverted_index.strategies | 176 |
| abstract_inverted_index.trajectory | 120 |
| abstract_inverted_index.Critically, | 143 |
| abstract_inverted_index.communicate | 135 |
| abstract_inverted_index.constructed | 72 |
| abstract_inverted_index.elucidated. | 45 |
| abstract_inverted_index.highlighted | 4 |
| abstract_inverted_index.high‐GMPI | 125 |
| abstract_inverted_index.independent | 88 |
| abstract_inverted_index.initiation, | 14 |
| abstract_inverted_index.low‐GMPI, | 127 |
| abstract_inverted_index.populations | 139 |
| abstract_inverted_index.progression | 15 |
| abstract_inverted_index.therapeutic | 17, 33, 145, 175 |
| abstract_inverted_index.evolutionary | 119 |
| abstract_inverted_index.infiltration | 62, 108 |
| abstract_inverted_index.Single‐cell | 113 |
| abstract_inverted_index.Subsequently, | 65 |
| abstract_inverted_index.immunotherapy | 111 |
| abstract_inverted_index.interactions. | 142 |
| abstract_inverted_index.stratification | 31 |
| abstract_inverted_index.characteristics | 7 |
| abstract_inverted_index.multifunctional | 6 |
| abstract_inverted_index.microenvironment | 28 |
| abstract_inverted_index.immunosuppressive | 106 |
| abstract_inverted_index.ligand‐receptor | 141 |
| abstract_inverted_index.patient‐derived | 155 |
| cited_by_percentile_year.max | 97 |
| cited_by_percentile_year.min | 95 |
| corresponding_author_ids | https://openalex.org/A5102810900, https://openalex.org/A5100396235, https://openalex.org/A5006758606 |
| countries_distinct_count | 2 |
| institutions_distinct_count | 9 |
| corresponding_institution_ids | https://openalex.org/I1318643470, https://openalex.org/I47720641 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/3 |
| sustainable_development_goals[0].score | 0.7900000214576721 |
| sustainable_development_goals[0].display_name | Good health and well-being |
| citation_normalized_percentile.value | 0.83217863 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |