Multimodal Analysis Reveals Differential Immuno-Metabolic Features in Lung Squamous Cell Carcinoma and Adenocarcinoma Article Swipe
Brooks P. Leitner
,
Shyryn Ospanova
,
Aray Beisenbayeva
,
Kevin B. Givechian
,
Katerina Politi
,
Rachel J. Perry
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1101/2021.05.09.443240
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1101/2021.05.09.443240
Background The relationship between systemic metabolism, immune function, and lung cancer is complex and remains poorly defined. Seemingly paradoxically, overweight and obesity confer an improved response to immune checkpoint inhibition in non-small cell lung cancer (NSCLC); however, it is not known whether excess body weight or adiposity impacts the immunometabolic tumor microenvironment. Methods Utilizing three complementary National Cancer Institute-funded open-source databases containing 18 F-fluorodeoxyglucose positron-emission tomography/computed tomography (PET-CT) images for tumor and tissue glucose uptake, adipose tissue and skeletal muscle mass, histology annotated with tumor infiltrating leukocytes, and tumor RNA sequencing, we performed a retrospective cross-sectional analysis to examine phenotypic, metabolic, and genomic intersections of adiposity and tumor immune-metabolism in patients with lung adenocarcinoma (LUAD) versus squamous cell carcinoma (LUSC). Results Our data reveal distinct immunometabolomic features of LUSC as compared to LUAD: visceral fat content was negatively correlated with both tumor glucose uptake and leukocyte infiltration. Subcutaneous and visceral adiposity conferred different effects on the tumor genetic landscapes in both tumor types. LUSC tumors showed greater gene expression pathways related to pyruvate, glucose, amino acid, and lipid metabolism, in addition to significantly greater 18 F-FDG uptake compared with LUAD, suggesting deeper metabolic regulation within the LUSC tumor microenvironment. Conclusions Several immunometabolomic characteristics of LUSC and LUAD differ, including tumor glucose uptake and the associated metabolic pathways in the tumor, as well as the impact of visceral adiposity on tumor metabolism. These data may highlight opportunities to advance mechanistically targeted precision medicine approaches by better understanding the interplay between metabolic, immunologic, and genomic factors in lung cancer treatment.
Related Topics
Concepts
Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.1101/2021.05.09.443240
- https://www.biorxiv.org/content/biorxiv/early/2021/05/11/2021.05.09.443240.1.full.pdf
- OA Status
- green
- References
- 58
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3160729995
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W3160729995Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1101/2021.05.09.443240Digital Object Identifier
- Title
-
Multimodal Analysis Reveals Differential Immuno-Metabolic Features in Lung Squamous Cell Carcinoma and AdenocarcinomaWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2021Year of publication
- Publication date
-
2021-05-11Full publication date if available
- Authors
-
Brooks P. Leitner, Shyryn Ospanova, Aray Beisenbayeva, Kevin B. Givechian, Katerina Politi, Rachel J. PerryList of authors in order
- Landing page
-
https://doi.org/10.1101/2021.05.09.443240Publisher landing page
- PDF URL
-
https://www.biorxiv.org/content/biorxiv/early/2021/05/11/2021.05.09.443240.1.full.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://www.biorxiv.org/content/biorxiv/early/2021/05/11/2021.05.09.443240.1.full.pdfDirect OA link when available
- Concepts
-
Adenocarcinoma, Tumor microenvironment, Lung cancer, Biology, Internal medicine, Immune system, Cancer, Cancer research, Adipose tissue, Endocrinology, Medicine, Oncology, ImmunologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- References (count)
-
58Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W3160729995 |
|---|---|
| doi | https://doi.org/10.1101/2021.05.09.443240 |
| ids.doi | https://doi.org/10.1101/2021.05.09.443240 |
| ids.mag | 3160729995 |
| ids.openalex | https://openalex.org/W3160729995 |
| fwci | |
| type | preprint |
| title | Multimodal Analysis Reveals Differential Immuno-Metabolic Features in Lung Squamous Cell Carcinoma and Adenocarcinoma |
| biblio.issue | |
| biblio.volume | |
| biblio.last_page | |
| biblio.first_page | |
| topics[0].id | https://openalex.org/T10397 |
| topics[0].field.id | https://openalex.org/fields/27 |
| topics[0].field.display_name | Medicine |
| topics[0].score | 0.9965999722480774 |
| topics[0].domain.id | https://openalex.org/domains/4 |
| topics[0].domain.display_name | Health Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/2737 |
| topics[0].subfield.display_name | Physiology |
| topics[0].display_name | Nutrition and Health in Aging |
| topics[1].id | https://openalex.org/T10515 |
| topics[1].field.id | https://openalex.org/fields/13 |
| topics[1].field.display_name | Biochemistry, Genetics and Molecular Biology |
| topics[1].score | 0.995199978351593 |
| topics[1].domain.id | https://openalex.org/domains/1 |
| topics[1].domain.display_name | Life Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/1306 |
| topics[1].subfield.display_name | Cancer Research |
| topics[1].display_name | Cancer-related molecular mechanisms research |
| topics[2].id | https://openalex.org/T12422 |
| topics[2].field.id | https://openalex.org/fields/27 |
| topics[2].field.display_name | Medicine |
| topics[2].score | 0.991100013256073 |
| topics[2].domain.id | https://openalex.org/domains/4 |
| topics[2].domain.display_name | Health Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/2741 |
| topics[2].subfield.display_name | Radiology, Nuclear Medicine and Imaging |
| topics[2].display_name | Radiomics and Machine Learning in Medical Imaging |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C2781182431 |
| concepts[0].level | 3 |
| concepts[0].score | 0.7065818905830383 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q356033 |
| concepts[0].display_name | Adenocarcinoma |
| concepts[1].id | https://openalex.org/C2776107976 |
| concepts[1].level | 3 |
| concepts[1].score | 0.6613641381263733 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q1786433 |
| concepts[1].display_name | Tumor microenvironment |
| concepts[2].id | https://openalex.org/C2776256026 |
| concepts[2].level | 2 |
| concepts[2].score | 0.4952515661716461 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q47912 |
| concepts[2].display_name | Lung cancer |
| concepts[3].id | https://openalex.org/C86803240 |
| concepts[3].level | 0 |
| concepts[3].score | 0.485924631357193 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q420 |
| concepts[3].display_name | Biology |
| concepts[4].id | https://openalex.org/C126322002 |
| concepts[4].level | 1 |
| concepts[4].score | 0.47785231471061707 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q11180 |
| concepts[4].display_name | Internal medicine |
| concepts[5].id | https://openalex.org/C8891405 |
| concepts[5].level | 2 |
| concepts[5].score | 0.46557968854904175 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q1059 |
| concepts[5].display_name | Immune system |
| concepts[6].id | https://openalex.org/C121608353 |
| concepts[6].level | 2 |
| concepts[6].score | 0.46146538853645325 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q12078 |
| concepts[6].display_name | Cancer |
| concepts[7].id | https://openalex.org/C502942594 |
| concepts[7].level | 1 |
| concepts[7].score | 0.4517015516757965 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q3421914 |
| concepts[7].display_name | Cancer research |
| concepts[8].id | https://openalex.org/C171089720 |
| concepts[8].level | 2 |
| concepts[8].score | 0.4109245538711548 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q193583 |
| concepts[8].display_name | Adipose tissue |
| concepts[9].id | https://openalex.org/C134018914 |
| concepts[9].level | 1 |
| concepts[9].score | 0.390217125415802 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q162606 |
| concepts[9].display_name | Endocrinology |
| concepts[10].id | https://openalex.org/C71924100 |
| concepts[10].level | 0 |
| concepts[10].score | 0.35861119627952576 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q11190 |
| concepts[10].display_name | Medicine |
| concepts[11].id | https://openalex.org/C143998085 |
| concepts[11].level | 1 |
| concepts[11].score | 0.340994656085968 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q162555 |
| concepts[11].display_name | Oncology |
| concepts[12].id | https://openalex.org/C203014093 |
| concepts[12].level | 1 |
| concepts[12].score | 0.16760602593421936 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q101929 |
| concepts[12].display_name | Immunology |
| keywords[0].id | https://openalex.org/keywords/adenocarcinoma |
| keywords[0].score | 0.7065818905830383 |
| keywords[0].display_name | Adenocarcinoma |
| keywords[1].id | https://openalex.org/keywords/tumor-microenvironment |
| keywords[1].score | 0.6613641381263733 |
| keywords[1].display_name | Tumor microenvironment |
| keywords[2].id | https://openalex.org/keywords/lung-cancer |
| keywords[2].score | 0.4952515661716461 |
| keywords[2].display_name | Lung cancer |
| keywords[3].id | https://openalex.org/keywords/biology |
| keywords[3].score | 0.485924631357193 |
| keywords[3].display_name | Biology |
| keywords[4].id | https://openalex.org/keywords/internal-medicine |
| keywords[4].score | 0.47785231471061707 |
| keywords[4].display_name | Internal medicine |
| keywords[5].id | https://openalex.org/keywords/immune-system |
| keywords[5].score | 0.46557968854904175 |
| keywords[5].display_name | Immune system |
| keywords[6].id | https://openalex.org/keywords/cancer |
| keywords[6].score | 0.46146538853645325 |
| keywords[6].display_name | Cancer |
| keywords[7].id | https://openalex.org/keywords/cancer-research |
| keywords[7].score | 0.4517015516757965 |
| keywords[7].display_name | Cancer research |
| keywords[8].id | https://openalex.org/keywords/adipose-tissue |
| keywords[8].score | 0.4109245538711548 |
| keywords[8].display_name | Adipose tissue |
| keywords[9].id | https://openalex.org/keywords/endocrinology |
| keywords[9].score | 0.390217125415802 |
| keywords[9].display_name | Endocrinology |
| keywords[10].id | https://openalex.org/keywords/medicine |
| keywords[10].score | 0.35861119627952576 |
| keywords[10].display_name | Medicine |
| keywords[11].id | https://openalex.org/keywords/oncology |
| keywords[11].score | 0.340994656085968 |
| keywords[11].display_name | Oncology |
| keywords[12].id | https://openalex.org/keywords/immunology |
| keywords[12].score | 0.16760602593421936 |
| keywords[12].display_name | Immunology |
| language | en |
| locations[0].id | doi:10.1101/2021.05.09.443240 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S4306402567 |
| locations[0].source.issn | |
| locations[0].source.type | repository |
| locations[0].source.is_oa | False |
| locations[0].source.issn_l | |
| locations[0].source.is_core | False |
| locations[0].source.is_in_doaj | False |
| locations[0].source.display_name | bioRxiv (Cold Spring Harbor Laboratory) |
| locations[0].source.host_organization | https://openalex.org/I2750212522 |
| locations[0].source.host_organization_name | Cold Spring Harbor Laboratory |
| locations[0].source.host_organization_lineage | https://openalex.org/I2750212522 |
| locations[0].license | cc-by-nc-nd |
| locations[0].pdf_url | https://www.biorxiv.org/content/biorxiv/early/2021/05/11/2021.05.09.443240.1.full.pdf |
| locations[0].version | acceptedVersion |
| locations[0].raw_type | posted-content |
| locations[0].license_id | https://openalex.org/licenses/cc-by-nc-nd |
| locations[0].is_accepted | True |
| locations[0].is_published | False |
| locations[0].raw_source_name | |
| locations[0].landing_page_url | https://doi.org/10.1101/2021.05.09.443240 |
| indexed_in | crossref |
| authorships[0].author.id | https://openalex.org/A5044191705 |
| authorships[0].author.orcid | https://orcid.org/0000-0001-8744-412X |
| authorships[0].author.display_name | Brooks P. Leitner |
| authorships[0].countries | US |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I32971472 |
| authorships[0].affiliations[0].raw_affiliation_string | Departments of Cellular & Molecular Physiology, Yale School of Medicine |
| authorships[0].affiliations[1].institution_ids | https://openalex.org/I32971472 |
| authorships[0].affiliations[1].raw_affiliation_string | Internal Medicine (Endocrinology), Yale School of Medicine |
| authorships[0].institutions[0].id | https://openalex.org/I32971472 |
| authorships[0].institutions[0].ror | https://ror.org/03v76x132 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I32971472 |
| authorships[0].institutions[0].country_code | US |
| authorships[0].institutions[0].display_name | Yale University |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Brooks P. Leitner |
| authorships[0].is_corresponding | True |
| authorships[0].raw_affiliation_strings | Departments of Cellular & Molecular Physiology, Yale School of Medicine, Internal Medicine (Endocrinology), Yale School of Medicine |
| authorships[1].author.id | https://openalex.org/A5112228848 |
| authorships[1].author.orcid | |
| authorships[1].author.display_name | Shyryn Ospanova |
| authorships[1].affiliations[0].raw_affiliation_string | Nazarbayev Intellectual School of Physics and Mathematics |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Shyryn Ospanova |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | Nazarbayev Intellectual School of Physics and Mathematics |
| authorships[2].author.id | https://openalex.org/A5091276822 |
| authorships[2].author.orcid | |
| authorships[2].author.display_name | Aray Beisenbayeva |
| authorships[2].affiliations[0].raw_affiliation_string | Kazakhstan International School |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Aray Beisenbayeva |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | Kazakhstan International School |
| authorships[3].author.id | https://openalex.org/A5015535736 |
| authorships[3].author.orcid | https://orcid.org/0000-0001-8155-2058 |
| authorships[3].author.display_name | Kevin B. Givechian |
| authorships[3].affiliations[0].raw_affiliation_string | Department of Computational Biology and Bioinformatics, Yale School of Medicine |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Kevin B. Givechian |
| authorships[3].is_corresponding | False |
| authorships[3].raw_affiliation_strings | Department of Computational Biology and Bioinformatics, Yale School of Medicine |
| authorships[4].author.id | https://openalex.org/A5067248479 |
| authorships[4].author.orcid | https://orcid.org/0000-0001-6064-4527 |
| authorships[4].author.display_name | Katerina Politi |
| authorships[4].countries | US |
| authorships[4].affiliations[0].institution_ids | https://openalex.org/I32971472 |
| authorships[4].affiliations[0].raw_affiliation_string | Pathology, Yale School of Medicine |
| authorships[4].affiliations[1].institution_ids | https://openalex.org/I32971472 |
| authorships[4].affiliations[1].raw_affiliation_string | Internal Medicine (Oncology), Yale School of Medicine |
| authorships[4].institutions[0].id | https://openalex.org/I32971472 |
| authorships[4].institutions[0].ror | https://ror.org/03v76x132 |
| authorships[4].institutions[0].type | education |
| authorships[4].institutions[0].lineage | https://openalex.org/I32971472 |
| authorships[4].institutions[0].country_code | US |
| authorships[4].institutions[0].display_name | Yale University |
| authorships[4].author_position | middle |
| authorships[4].raw_author_name | Katerina Politi |
| authorships[4].is_corresponding | False |
| authorships[4].raw_affiliation_strings | Internal Medicine (Oncology), Yale School of Medicine, Pathology, Yale School of Medicine |
| authorships[5].author.id | https://openalex.org/A5047813787 |
| authorships[5].author.orcid | https://orcid.org/0000-0003-0748-8064 |
| authorships[5].author.display_name | Rachel J. Perry |
| authorships[5].countries | US |
| authorships[5].affiliations[0].institution_ids | https://openalex.org/I32971472 |
| authorships[5].affiliations[0].raw_affiliation_string | Internal Medicine (Endocrinology), Yale School of Medicine |
| authorships[5].affiliations[1].institution_ids | https://openalex.org/I32971472 |
| authorships[5].affiliations[1].raw_affiliation_string | Departments of Cellular & Molecular Physiology, Yale School of Medicine |
| authorships[5].institutions[0].id | https://openalex.org/I32971472 |
| authorships[5].institutions[0].ror | https://ror.org/03v76x132 |
| authorships[5].institutions[0].type | education |
| authorships[5].institutions[0].lineage | https://openalex.org/I32971472 |
| authorships[5].institutions[0].country_code | US |
| authorships[5].institutions[0].display_name | Yale University |
| authorships[5].author_position | last |
| authorships[5].raw_author_name | Rachel J. Perry |
| authorships[5].is_corresponding | True |
| authorships[5].raw_affiliation_strings | Departments of Cellular & Molecular Physiology, Yale School of Medicine, Internal Medicine (Endocrinology), Yale School of Medicine |
| has_content.pdf | True |
| has_content.grobid_xml | True |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://www.biorxiv.org/content/biorxiv/early/2021/05/11/2021.05.09.443240.1.full.pdf |
| open_access.oa_status | green |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Multimodal Analysis Reveals Differential Immuno-Metabolic Features in Lung Squamous Cell Carcinoma and Adenocarcinoma |
| has_fulltext | True |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T10397 |
| primary_topic.field.id | https://openalex.org/fields/27 |
| primary_topic.field.display_name | Medicine |
| primary_topic.score | 0.9965999722480774 |
| primary_topic.domain.id | https://openalex.org/domains/4 |
| primary_topic.domain.display_name | Health Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/2737 |
| primary_topic.subfield.display_name | Physiology |
| primary_topic.display_name | Nutrition and Health in Aging |
| related_works | https://openalex.org/W2143040158, https://openalex.org/W2401628417, https://openalex.org/W1618042422, https://openalex.org/W1990952279, https://openalex.org/W2120251679, https://openalex.org/W2382805495, https://openalex.org/W3204719090, https://openalex.org/W2143690397, https://openalex.org/W2767652625, https://openalex.org/W2129686792 |
| cited_by_count | 0 |
| locations_count | 1 |
| best_oa_location.id | doi:10.1101/2021.05.09.443240 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S4306402567 |
| best_oa_location.source.issn | |
| best_oa_location.source.type | repository |
| best_oa_location.source.is_oa | False |
| best_oa_location.source.issn_l | |
| best_oa_location.source.is_core | False |
| best_oa_location.source.is_in_doaj | False |
| best_oa_location.source.display_name | bioRxiv (Cold Spring Harbor Laboratory) |
| best_oa_location.source.host_organization | https://openalex.org/I2750212522 |
| best_oa_location.source.host_organization_name | Cold Spring Harbor Laboratory |
| best_oa_location.source.host_organization_lineage | https://openalex.org/I2750212522 |
| best_oa_location.license | cc-by-nc-nd |
| best_oa_location.pdf_url | https://www.biorxiv.org/content/biorxiv/early/2021/05/11/2021.05.09.443240.1.full.pdf |
| best_oa_location.version | acceptedVersion |
| best_oa_location.raw_type | posted-content |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by-nc-nd |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | False |
| best_oa_location.raw_source_name | |
| best_oa_location.landing_page_url | https://doi.org/10.1101/2021.05.09.443240 |
| primary_location.id | doi:10.1101/2021.05.09.443240 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S4306402567 |
| primary_location.source.issn | |
| primary_location.source.type | repository |
| primary_location.source.is_oa | False |
| primary_location.source.issn_l | |
| primary_location.source.is_core | False |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | bioRxiv (Cold Spring Harbor Laboratory) |
| primary_location.source.host_organization | https://openalex.org/I2750212522 |
| primary_location.source.host_organization_name | Cold Spring Harbor Laboratory |
| primary_location.source.host_organization_lineage | https://openalex.org/I2750212522 |
| primary_location.license | cc-by-nc-nd |
| primary_location.pdf_url | https://www.biorxiv.org/content/biorxiv/early/2021/05/11/2021.05.09.443240.1.full.pdf |
| primary_location.version | acceptedVersion |
| primary_location.raw_type | posted-content |
| primary_location.license_id | https://openalex.org/licenses/cc-by-nc-nd |
| primary_location.is_accepted | True |
| primary_location.is_published | False |
| primary_location.raw_source_name | |
| primary_location.landing_page_url | https://doi.org/10.1101/2021.05.09.443240 |
| publication_date | 2021-05-11 |
| publication_year | 2021 |
| referenced_works | https://openalex.org/W3107615104, https://openalex.org/W3105589568, https://openalex.org/W3002899567, https://openalex.org/W2968408084, https://openalex.org/W2947120713, https://openalex.org/W3093354881, https://openalex.org/W2997651933, https://openalex.org/W1977970996, https://openalex.org/W3107557740, https://openalex.org/W3005902521, https://openalex.org/W2995989222, https://openalex.org/W3146001933, https://openalex.org/W3119640668, https://openalex.org/W2986970931, https://openalex.org/W2169067777, https://openalex.org/W2025103171, https://openalex.org/W2123276718, https://openalex.org/W2011674399, https://openalex.org/W1988734083, https://openalex.org/W2026676774, https://openalex.org/W2162670121, https://openalex.org/W1988624986, https://openalex.org/W2919023968, https://openalex.org/W2766131660, https://openalex.org/W6922029765, https://openalex.org/W6977859828, https://openalex.org/W2156999166, https://openalex.org/W2925638565, https://openalex.org/W2736913806, https://openalex.org/W2101398993, https://openalex.org/W3028304854, https://openalex.org/W2345356016, https://openalex.org/W2406250479, https://openalex.org/W2796409016, https://openalex.org/W2073618702, https://openalex.org/W2793805129, https://openalex.org/W2156865358, https://openalex.org/W2163547227, https://openalex.org/W2937823726, https://openalex.org/W3107230289, https://openalex.org/W3137527955, https://openalex.org/W3129902245, https://openalex.org/W2213299271, https://openalex.org/W2195967324, https://openalex.org/W2100383897, https://openalex.org/W2048879830, https://openalex.org/W1989023979, https://openalex.org/W2126657301, https://openalex.org/W1971103961, https://openalex.org/W2888241800, https://openalex.org/W2760191199, https://openalex.org/W2795165953, https://openalex.org/W1989400130, https://openalex.org/W3016516470, https://openalex.org/W6600953820, https://openalex.org/W3039856648, https://openalex.org/W2132359931, https://openalex.org/W2361876374 |
| referenced_works_count | 58 |
| abstract_inverted_index.a | 94 |
| abstract_inverted_index.18 | 63, 185 |
| abstract_inverted_index.an | 24 |
| abstract_inverted_index.as | 130, 221, 223 |
| abstract_inverted_index.by | 244 |
| abstract_inverted_index.in | 31, 110, 160, 180, 218, 255 |
| abstract_inverted_index.is | 12, 39 |
| abstract_inverted_index.it | 38 |
| abstract_inverted_index.of | 105, 128, 204, 226 |
| abstract_inverted_index.on | 155, 229 |
| abstract_inverted_index.or | 46 |
| abstract_inverted_index.to | 27, 98, 132, 172, 182, 237 |
| abstract_inverted_index.we | 92 |
| abstract_inverted_index.Our | 122 |
| abstract_inverted_index.RNA | 90 |
| abstract_inverted_index.The | 2 |
| abstract_inverted_index.and | 9, 14, 21, 72, 78, 88, 102, 107, 145, 149, 177, 206, 213, 252 |
| abstract_inverted_index.fat | 135 |
| abstract_inverted_index.for | 70 |
| abstract_inverted_index.may | 234 |
| abstract_inverted_index.not | 40 |
| abstract_inverted_index.the | 49, 156, 196, 214, 219, 224, 247 |
| abstract_inverted_index.was | 137 |
| abstract_inverted_index.LUAD | 207 |
| abstract_inverted_index.LUSC | 129, 164, 197, 205 |
| abstract_inverted_index.body | 44 |
| abstract_inverted_index.both | 141, 161 |
| abstract_inverted_index.cell | 33, 118 |
| abstract_inverted_index.data | 123, 233 |
| abstract_inverted_index.gene | 168 |
| abstract_inverted_index.lung | 10, 34, 113, 256 |
| abstract_inverted_index.well | 222 |
| abstract_inverted_index.with | 84, 112, 140, 189 |
| abstract_inverted_index.F-FDG | 186 |
| abstract_inverted_index.LUAD, | 190 |
| abstract_inverted_index.LUAD: | 133 |
| abstract_inverted_index.These | 232 |
| abstract_inverted_index.acid, | 176 |
| abstract_inverted_index.amino | 175 |
| abstract_inverted_index.known | 41 |
| abstract_inverted_index.lipid | 178 |
| abstract_inverted_index.mass, | 81 |
| abstract_inverted_index.three | 55 |
| abstract_inverted_index.tumor | 51, 71, 85, 89, 108, 142, 157, 162, 198, 210, 230 |
| abstract_inverted_index.(LUAD) | 115 |
| abstract_inverted_index.Cancer | 58 |
| abstract_inverted_index.better | 245 |
| abstract_inverted_index.cancer | 11, 35, 257 |
| abstract_inverted_index.confer | 23 |
| abstract_inverted_index.deeper | 192 |
| abstract_inverted_index.excess | 43 |
| abstract_inverted_index.images | 69 |
| abstract_inverted_index.immune | 7, 28 |
| abstract_inverted_index.impact | 225 |
| abstract_inverted_index.muscle | 80 |
| abstract_inverted_index.poorly | 16 |
| abstract_inverted_index.reveal | 124 |
| abstract_inverted_index.showed | 166 |
| abstract_inverted_index.tissue | 73, 77 |
| abstract_inverted_index.tumor, | 220 |
| abstract_inverted_index.tumors | 165 |
| abstract_inverted_index.types. | 163 |
| abstract_inverted_index.uptake | 144, 187, 212 |
| abstract_inverted_index.versus | 116 |
| abstract_inverted_index.weight | 45 |
| abstract_inverted_index.within | 195 |
| abstract_inverted_index.(LUSC). | 120 |
| abstract_inverted_index.Methods | 53 |
| abstract_inverted_index.Results | 121 |
| abstract_inverted_index.Several | 201 |
| abstract_inverted_index.adipose | 76 |
| abstract_inverted_index.advance | 238 |
| abstract_inverted_index.between | 4, 249 |
| abstract_inverted_index.complex | 13 |
| abstract_inverted_index.content | 136 |
| abstract_inverted_index.differ, | 208 |
| abstract_inverted_index.effects | 154 |
| abstract_inverted_index.examine | 99 |
| abstract_inverted_index.factors | 254 |
| abstract_inverted_index.genetic | 158 |
| abstract_inverted_index.genomic | 103, 253 |
| abstract_inverted_index.glucose | 74, 143, 211 |
| abstract_inverted_index.greater | 167, 184 |
| abstract_inverted_index.impacts | 48 |
| abstract_inverted_index.obesity | 22 |
| abstract_inverted_index.related | 171 |
| abstract_inverted_index.remains | 15 |
| abstract_inverted_index.uptake, | 75 |
| abstract_inverted_index.whether | 42 |
| abstract_inverted_index.(NSCLC); | 36 |
| abstract_inverted_index.(PET-CT) | 68 |
| abstract_inverted_index.Abstract | 0 |
| abstract_inverted_index.National | 57 |
| abstract_inverted_index.addition | 181 |
| abstract_inverted_index.analysis | 97 |
| abstract_inverted_index.compared | 131, 188 |
| abstract_inverted_index.defined. | 17 |
| abstract_inverted_index.distinct | 125 |
| abstract_inverted_index.features | 127 |
| abstract_inverted_index.glucose, | 174 |
| abstract_inverted_index.however, | 37 |
| abstract_inverted_index.improved | 25 |
| abstract_inverted_index.medicine | 242 |
| abstract_inverted_index.pathways | 170, 217 |
| abstract_inverted_index.patients | 111 |
| abstract_inverted_index.response | 26 |
| abstract_inverted_index.skeletal | 79 |
| abstract_inverted_index.squamous | 117 |
| abstract_inverted_index.systemic | 5 |
| abstract_inverted_index.targeted | 240 |
| abstract_inverted_index.visceral | 134, 150, 227 |
| abstract_inverted_index.Seemingly | 18 |
| abstract_inverted_index.Utilizing | 54 |
| abstract_inverted_index.adiposity | 47, 106, 151, 228 |
| abstract_inverted_index.annotated | 83 |
| abstract_inverted_index.carcinoma | 119 |
| abstract_inverted_index.conferred | 152 |
| abstract_inverted_index.databases | 61 |
| abstract_inverted_index.different | 153 |
| abstract_inverted_index.function, | 8 |
| abstract_inverted_index.highlight | 235 |
| abstract_inverted_index.histology | 82 |
| abstract_inverted_index.including | 209 |
| abstract_inverted_index.interplay | 248 |
| abstract_inverted_index.leukocyte | 146 |
| abstract_inverted_index.metabolic | 193, 216 |
| abstract_inverted_index.non-small | 32 |
| abstract_inverted_index.performed | 93 |
| abstract_inverted_index.precision | 241 |
| abstract_inverted_index.pyruvate, | 173 |
| abstract_inverted_index.Background | 1 |
| abstract_inverted_index.approaches | 243 |
| abstract_inverted_index.associated | 215 |
| abstract_inverted_index.checkpoint | 29 |
| abstract_inverted_index.containing | 62 |
| abstract_inverted_index.correlated | 139 |
| abstract_inverted_index.expression | 169 |
| abstract_inverted_index.inhibition | 30 |
| abstract_inverted_index.landscapes | 159 |
| abstract_inverted_index.metabolic, | 101, 250 |
| abstract_inverted_index.negatively | 138 |
| abstract_inverted_index.overweight | 20 |
| abstract_inverted_index.regulation | 194 |
| abstract_inverted_index.suggesting | 191 |
| abstract_inverted_index.tomography | 67 |
| abstract_inverted_index.treatment. | 258 |
| abstract_inverted_index.Conclusions | 200 |
| abstract_inverted_index.leukocytes, | 87 |
| abstract_inverted_index.metabolism, | 6, 179 |
| abstract_inverted_index.metabolism. | 231 |
| abstract_inverted_index.open-source | 60 |
| abstract_inverted_index.phenotypic, | 100 |
| abstract_inverted_index.sequencing, | 91 |
| abstract_inverted_index.Subcutaneous | 148 |
| abstract_inverted_index.immunologic, | 251 |
| abstract_inverted_index.infiltrating | 86 |
| abstract_inverted_index.relationship | 3 |
| abstract_inverted_index.complementary | 56 |
| abstract_inverted_index.infiltration. | 147 |
| abstract_inverted_index.intersections | 104 |
| abstract_inverted_index.opportunities | 236 |
| abstract_inverted_index.retrospective | 95 |
| abstract_inverted_index.significantly | 183 |
| abstract_inverted_index.understanding | 246 |
| abstract_inverted_index.adenocarcinoma | 114 |
| abstract_inverted_index.paradoxically, | 19 |
| abstract_inverted_index.characteristics | 203 |
| abstract_inverted_index.cross-sectional | 96 |
| abstract_inverted_index.immunometabolic | 50 |
| abstract_inverted_index.mechanistically | 239 |
| abstract_inverted_index.Institute-funded | 59 |
| abstract_inverted_index.immune-metabolism | 109 |
| abstract_inverted_index.immunometabolomic | 126, 202 |
| abstract_inverted_index.microenvironment. | 52, 199 |
| abstract_inverted_index.positron-emission | 65 |
| abstract_inverted_index.tomography/computed | 66 |
| abstract_inverted_index.F-fluorodeoxyglucose | 64 |
| cited_by_percentile_year | |
| corresponding_author_ids | https://openalex.org/A5044191705, https://openalex.org/A5047813787 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 6 |
| corresponding_institution_ids | https://openalex.org/I32971472 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/3 |
| sustainable_development_goals[0].score | 0.6299999952316284 |
| sustainable_development_goals[0].display_name | Good health and well-being |
| citation_normalized_percentile.value | 0.06343705 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |