Enhanced Complement Expression in the Tumor Microenvironment Following Neoadjuvant Therapy: Implications for Immunomodulation and Survival in Pancreatic Ductal Adenocarcinoma Article Swipe
Xiaofei Zhang
,
Ruoxin Lan
,
Yongjun Liu
,
Venu G. Pillarisetty
,
Danting Li
,
Chaohui L Zhao
,
Suparna A. Sarkar
,
Weiguo Liu
,
Iman Hanna
,
Mala Gupta
,
Cristina Hajdu
,
Jonathan Melamed
,
Jessica Widmer
,
John Allendorf
,
Yaozhong Liu
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1101/2023.10.26.564099
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1101/2023.10.26.564099
Purpose Neoadjuvant therapy (NAT) is increasingly being used for pancreatic ductal adenocarcinoma (PDAC) treatment. However, its distinct effects on carcinoma cells and the tumor microenvironment (TME) are not fully understood. This study employs spatial transcriptomics and single-cell RNA sequencing to investigate how NAT differentially remodels PDAC’s carcinoma cells and TME. Experimental Design We used spatial transcriptomics to compare gene expression profiles in carcinoma cells and the TME between NAT-treated and NAT-naïve PDAC patients and correlated with their clinicopathologic features. Complementary single-nucleus RNA sequencing (snRNA-seq) analysis was conducted to validate our findings and identify cell types driving NAT-induced gene expression alterations. Results We found NAT not only induces apoptosis and inhibits proliferation in carcinoma cells but also significantly remodels the TME. Notably, NAT induces a coordinated upregulation of multiple key complement genes (C3, C1S, C1R, C4B and C7) in the TME, making the complement pathway one of the most significantly affected pathways by NAT. Patients with higher TME complement expression following NAT exhibit improved overall survival; more immunomodulatory and neurotrophic cancer-associated fibroblasts (CAFs); more CD4 + T cells, monocytes and mast cells; and lower immune exhaustion gene expression. snRNA-seq analysis demonstrates C3 complement upregulation specifically in CAFs but not in other stroma cell types. Conclusions Our findings indicate that NAT may reduce immunosuppression in PDAC by enhancing complement production and signaling within the TME. These findings suggest that local complement dynamics could serve as a novel biomarker for prognosis, evaluating treatment response and resistance, and guiding therapeutic strategies in NAT-treated PDAC patients. Translational Relevance As neoadjuvant therapy (NAT) increasingly becomes the preferred approach in treating resectable and borderline resectable pancreatic ductal adenocarcinoma (PDAC), there is a growing demand for novel biomarkers specifically tailored for post-NAT PDAC patients. Our study focused on how NAT differentially remodels the tumor cells and the tumor microenvironment (TME). We demonstrate that NAT can enhance local complement production and signaling in PDAC’s TME, which is associated with reduced immune exhaustion and improved overall survival. Our results highlight the importance of local complement dynamics in influencing treatment response, resistance, and overall clinical outcomes in PDAC. This new mechanism provides new opportunities in biomarker development which could facilitate more accurate prognostication and precise treatment stratification, particularly for patients undergoing NAT in PDAC.
Related Topics
Concepts
Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.1101/2023.10.26.564099
- https://www.biorxiv.org/content/biorxiv/early/2023/12/15/2023.10.26.564099.full.pdf
- OA Status
- green
- Cited By
- 1
- References
- 52
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4388015365
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4388015365Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1101/2023.10.26.564099Digital Object Identifier
- Title
-
Enhanced Complement Expression in the Tumor Microenvironment Following Neoadjuvant Therapy: Implications for Immunomodulation and Survival in Pancreatic Ductal AdenocarcinomaWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-10-30Full publication date if available
- Authors
-
Xiaofei Zhang, Ruoxin Lan, Yongjun Liu, Venu G. Pillarisetty, Danting Li, Chaohui L Zhao, Suparna A. Sarkar, Weiguo Liu, Iman Hanna, Mala Gupta, Cristina Hajdu, Jonathan Melamed, Jessica Widmer, John Allendorf, Yaozhong LiuList of authors in order
- Landing page
-
https://doi.org/10.1101/2023.10.26.564099Publisher landing page
- PDF URL
-
https://www.biorxiv.org/content/biorxiv/early/2023/12/15/2023.10.26.564099.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/2023/12/15/2023.10.26.564099.full.pdfDirect OA link when available
- Concepts
-
Tumor microenvironment, Biology, Cancer research, Transcriptome, Downregulation and upregulation, Gene expression, Gene, Biochemistry, Tumor cellsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
1Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 1Per-year citation counts (last 5 years)
- References (count)
-
52Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4388015365 |
|---|---|
| doi | https://doi.org/10.1101/2023.10.26.564099 |
| ids.doi | https://doi.org/10.1101/2023.10.26.564099 |
| ids.openalex | https://openalex.org/W4388015365 |
| fwci | 0.23759703 |
| type | preprint |
| title | Enhanced Complement Expression in the Tumor Microenvironment Following Neoadjuvant Therapy: Implications for Immunomodulation and Survival in Pancreatic Ductal Adenocarcinoma |
| biblio.issue | |
| biblio.volume | |
| biblio.last_page | |
| biblio.first_page | |
| topics[0].id | https://openalex.org/T10231 |
| topics[0].field.id | https://openalex.org/fields/27 |
| topics[0].field.display_name | Medicine |
| topics[0].score | 1.0 |
| topics[0].domain.id | https://openalex.org/domains/4 |
| topics[0].domain.display_name | Health Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/2730 |
| topics[0].subfield.display_name | Oncology |
| topics[0].display_name | Pancreatic and Hepatic Oncology Research |
| topics[1].id | https://openalex.org/T11287 |
| topics[1].field.id | https://openalex.org/fields/13 |
| topics[1].field.display_name | Biochemistry, Genetics and Molecular Biology |
| topics[1].score | 0.9947999715805054 |
| 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 Genomics and Diagnostics |
| topics[2].id | https://openalex.org/T10158 |
| topics[2].field.id | https://openalex.org/fields/27 |
| topics[2].field.display_name | Medicine |
| topics[2].score | 0.9919999837875366 |
| topics[2].domain.id | https://openalex.org/domains/4 |
| topics[2].domain.display_name | Health Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/2730 |
| topics[2].subfield.display_name | Oncology |
| topics[2].display_name | Cancer Immunotherapy and Biomarkers |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C2776107976 |
| concepts[0].level | 3 |
| concepts[0].score | 0.6689717173576355 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q1786433 |
| concepts[0].display_name | Tumor microenvironment |
| concepts[1].id | https://openalex.org/C86803240 |
| concepts[1].level | 0 |
| concepts[1].score | 0.5985308289527893 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q420 |
| concepts[1].display_name | Biology |
| concepts[2].id | https://openalex.org/C502942594 |
| concepts[2].level | 1 |
| concepts[2].score | 0.5735036730766296 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q3421914 |
| concepts[2].display_name | Cancer research |
| concepts[3].id | https://openalex.org/C162317418 |
| concepts[3].level | 4 |
| concepts[3].score | 0.5591612458229065 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q252857 |
| concepts[3].display_name | Transcriptome |
| concepts[4].id | https://openalex.org/C127561419 |
| concepts[4].level | 3 |
| concepts[4].score | 0.48808181285858154 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q224527 |
| concepts[4].display_name | Downregulation and upregulation |
| concepts[5].id | https://openalex.org/C150194340 |
| concepts[5].level | 3 |
| concepts[5].score | 0.2806181311607361 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q26972 |
| concepts[5].display_name | Gene expression |
| concepts[6].id | https://openalex.org/C104317684 |
| concepts[6].level | 2 |
| concepts[6].score | 0.2254849076271057 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q7187 |
| concepts[6].display_name | Gene |
| concepts[7].id | https://openalex.org/C55493867 |
| concepts[7].level | 1 |
| concepts[7].score | 0.0 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q7094 |
| concepts[7].display_name | Biochemistry |
| concepts[8].id | https://openalex.org/C3020616263 |
| concepts[8].level | 2 |
| concepts[8].score | 0.0 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q1216998 |
| concepts[8].display_name | Tumor cells |
| keywords[0].id | https://openalex.org/keywords/tumor-microenvironment |
| keywords[0].score | 0.6689717173576355 |
| keywords[0].display_name | Tumor microenvironment |
| keywords[1].id | https://openalex.org/keywords/biology |
| keywords[1].score | 0.5985308289527893 |
| keywords[1].display_name | Biology |
| keywords[2].id | https://openalex.org/keywords/cancer-research |
| keywords[2].score | 0.5735036730766296 |
| keywords[2].display_name | Cancer research |
| keywords[3].id | https://openalex.org/keywords/transcriptome |
| keywords[3].score | 0.5591612458229065 |
| keywords[3].display_name | Transcriptome |
| keywords[4].id | https://openalex.org/keywords/downregulation-and-upregulation |
| keywords[4].score | 0.48808181285858154 |
| keywords[4].display_name | Downregulation and upregulation |
| keywords[5].id | https://openalex.org/keywords/gene-expression |
| keywords[5].score | 0.2806181311607361 |
| keywords[5].display_name | Gene expression |
| keywords[6].id | https://openalex.org/keywords/gene |
| keywords[6].score | 0.2254849076271057 |
| keywords[6].display_name | Gene |
| language | en |
| locations[0].id | doi:10.1101/2023.10.26.564099 |
| 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 | |
| locations[0].pdf_url | https://www.biorxiv.org/content/biorxiv/early/2023/12/15/2023.10.26.564099.full.pdf |
| locations[0].version | acceptedVersion |
| locations[0].raw_type | posted-content |
| locations[0].license_id | |
| locations[0].is_accepted | True |
| locations[0].is_published | False |
| locations[0].raw_source_name | |
| locations[0].landing_page_url | https://doi.org/10.1101/2023.10.26.564099 |
| indexed_in | crossref |
| authorships[0].author.id | https://openalex.org/A5100447057 |
| authorships[0].author.orcid | https://orcid.org/0000-0003-4189-7603 |
| authorships[0].author.display_name | Xiaofei Zhang |
| authorships[0].countries | US |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I57206974 |
| authorships[0].affiliations[0].raw_affiliation_string | Department of Pathology and Laboratory Medicine, New York University Grossman Long Island School of Medicine, Long Island, NY |
| authorships[0].institutions[0].id | https://openalex.org/I57206974 |
| authorships[0].institutions[0].ror | https://ror.org/0190ak572 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I57206974 |
| authorships[0].institutions[0].country_code | US |
| authorships[0].institutions[0].display_name | New York University |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Xiaofei Zhang |
| authorships[0].is_corresponding | False |
| authorships[0].raw_affiliation_strings | Department of Pathology and Laboratory Medicine, New York University Grossman Long Island School of Medicine, Long Island, NY |
| authorships[1].author.id | https://openalex.org/A5086853168 |
| authorships[1].author.orcid | |
| authorships[1].author.display_name | Ruoxin Lan |
| authorships[1].countries | US |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I114832834 |
| authorships[1].affiliations[0].raw_affiliation_string | Department of Biostatistics and Data Science, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA |
| authorships[1].institutions[0].id | https://openalex.org/I114832834 |
| authorships[1].institutions[0].ror | https://ror.org/04vmvtb21 |
| authorships[1].institutions[0].type | education |
| authorships[1].institutions[0].lineage | https://openalex.org/I114832834 |
| authorships[1].institutions[0].country_code | US |
| authorships[1].institutions[0].display_name | Tulane University |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Ruoxin Lan |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | Department of Biostatistics and Data Science, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA |
| authorships[2].author.id | https://openalex.org/A5100712531 |
| authorships[2].author.orcid | https://orcid.org/0000-0002-1686-8272 |
| authorships[2].author.display_name | Yongjun Liu |
| authorships[2].countries | US |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I201448701 |
| authorships[2].affiliations[0].raw_affiliation_string | Department of Laboratory Medicine and Pathology, University of Washington School of Medicine, Seattle, WA |
| authorships[2].institutions[0].id | https://openalex.org/I201448701 |
| authorships[2].institutions[0].ror | https://ror.org/00cvxb145 |
| authorships[2].institutions[0].type | education |
| authorships[2].institutions[0].lineage | https://openalex.org/I201448701 |
| authorships[2].institutions[0].country_code | US |
| authorships[2].institutions[0].display_name | University of Washington |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Yongjun Liu |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | Department of Laboratory Medicine and Pathology, University of Washington School of Medicine, Seattle, WA |
| authorships[3].author.id | https://openalex.org/A5025523782 |
| authorships[3].author.orcid | https://orcid.org/0000-0002-1162-9643 |
| authorships[3].author.display_name | Venu G. Pillarisetty |
| authorships[3].countries | US |
| authorships[3].affiliations[0].institution_ids | https://openalex.org/I201448701 |
| authorships[3].affiliations[0].raw_affiliation_string | Department of Surgery, University of Washington School of Medicine, Seattle, WA |
| authorships[3].institutions[0].id | https://openalex.org/I201448701 |
| authorships[3].institutions[0].ror | https://ror.org/00cvxb145 |
| authorships[3].institutions[0].type | education |
| authorships[3].institutions[0].lineage | https://openalex.org/I201448701 |
| authorships[3].institutions[0].country_code | US |
| authorships[3].institutions[0].display_name | University of Washington |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Venu G Pillarisetty |
| authorships[3].is_corresponding | False |
| authorships[3].raw_affiliation_strings | Department of Surgery, University of Washington School of Medicine, Seattle, WA |
| authorships[4].author.id | https://openalex.org/A5069760137 |
| authorships[4].author.orcid | https://orcid.org/0000-0001-9918-2315 |
| authorships[4].author.display_name | Danting Li |
| authorships[4].countries | US |
| authorships[4].affiliations[0].institution_ids | https://openalex.org/I114832834 |
| authorships[4].affiliations[0].raw_affiliation_string | Department of Biostatistics and Data Science, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA |
| authorships[4].institutions[0].id | https://openalex.org/I114832834 |
| authorships[4].institutions[0].ror | https://ror.org/04vmvtb21 |
| authorships[4].institutions[0].type | education |
| authorships[4].institutions[0].lineage | https://openalex.org/I114832834 |
| authorships[4].institutions[0].country_code | US |
| authorships[4].institutions[0].display_name | Tulane University |
| authorships[4].author_position | middle |
| authorships[4].raw_author_name | Danting Li |
| authorships[4].is_corresponding | False |
| authorships[4].raw_affiliation_strings | Department of Biostatistics and Data Science, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA |
| authorships[5].author.id | https://openalex.org/A5113032968 |
| authorships[5].author.orcid | |
| authorships[5].author.display_name | Chaohui L Zhao |
| authorships[5].countries | US |
| authorships[5].affiliations[0].institution_ids | https://openalex.org/I57206974 |
| authorships[5].affiliations[0].raw_affiliation_string | Department of Pathology and Laboratory Medicine, New York University Grossman Long Island School of Medicine, Long Island, NY |
| authorships[5].institutions[0].id | https://openalex.org/I57206974 |
| authorships[5].institutions[0].ror | https://ror.org/0190ak572 |
| authorships[5].institutions[0].type | education |
| authorships[5].institutions[0].lineage | https://openalex.org/I57206974 |
| authorships[5].institutions[0].country_code | US |
| authorships[5].institutions[0].display_name | New York University |
| authorships[5].author_position | middle |
| authorships[5].raw_author_name | Chaohui L Zhao |
| authorships[5].is_corresponding | False |
| authorships[5].raw_affiliation_strings | Department of Pathology and Laboratory Medicine, New York University Grossman Long Island School of Medicine, Long Island, NY |
| authorships[6].author.id | https://openalex.org/A5101617267 |
| authorships[6].author.orcid | https://orcid.org/0000-0002-3114-3173 |
| authorships[6].author.display_name | Suparna A. Sarkar |
| authorships[6].countries | US |
| authorships[6].affiliations[0].institution_ids | https://openalex.org/I57206974 |
| authorships[6].affiliations[0].raw_affiliation_string | Department of Pathology and Laboratory Medicine, New York University Grossman School of Medicine, New York, NY |
| authorships[6].institutions[0].id | https://openalex.org/I57206974 |
| authorships[6].institutions[0].ror | https://ror.org/0190ak572 |
| authorships[6].institutions[0].type | education |
| authorships[6].institutions[0].lineage | https://openalex.org/I57206974 |
| authorships[6].institutions[0].country_code | US |
| authorships[6].institutions[0].display_name | New York University |
| authorships[6].author_position | middle |
| authorships[6].raw_author_name | Suparna A. Sarkar |
| authorships[6].is_corresponding | False |
| authorships[6].raw_affiliation_strings | Department of Pathology and Laboratory Medicine, New York University Grossman School of Medicine, New York, NY |
| authorships[7].author.id | https://openalex.org/A5100770255 |
| authorships[7].author.orcid | https://orcid.org/0000-0002-0674-2211 |
| authorships[7].author.display_name | Weiguo Liu |
| authorships[7].countries | US |
| authorships[7].affiliations[0].institution_ids | https://openalex.org/I57206974 |
| authorships[7].affiliations[0].raw_affiliation_string | Department of Pathology and Laboratory Medicine, New York University Grossman Long Island School of Medicine, Long Island, NY |
| authorships[7].institutions[0].id | https://openalex.org/I57206974 |
| authorships[7].institutions[0].ror | https://ror.org/0190ak572 |
| authorships[7].institutions[0].type | education |
| authorships[7].institutions[0].lineage | https://openalex.org/I57206974 |
| authorships[7].institutions[0].country_code | US |
| authorships[7].institutions[0].display_name | New York University |
| authorships[7].author_position | middle |
| authorships[7].raw_author_name | Weiguo Liu |
| authorships[7].is_corresponding | False |
| authorships[7].raw_affiliation_strings | Department of Pathology and Laboratory Medicine, New York University Grossman Long Island School of Medicine, Long Island, NY |
| authorships[8].author.id | https://openalex.org/A5074650700 |
| authorships[8].author.orcid | https://orcid.org/0000-0002-1913-4143 |
| authorships[8].author.display_name | Iman Hanna |
| authorships[8].countries | US |
| authorships[8].affiliations[0].institution_ids | https://openalex.org/I57206974 |
| authorships[8].affiliations[0].raw_affiliation_string | Department of Pathology and Laboratory Medicine, New York University Grossman Long Island School of Medicine, Long Island, NY |
| authorships[8].institutions[0].id | https://openalex.org/I57206974 |
| authorships[8].institutions[0].ror | https://ror.org/0190ak572 |
| authorships[8].institutions[0].type | education |
| authorships[8].institutions[0].lineage | https://openalex.org/I57206974 |
| authorships[8].institutions[0].country_code | US |
| authorships[8].institutions[0].display_name | New York University |
| authorships[8].author_position | middle |
| authorships[8].raw_author_name | Iman Hanna |
| authorships[8].is_corresponding | False |
| authorships[8].raw_affiliation_strings | Department of Pathology and Laboratory Medicine, New York University Grossman Long Island School of Medicine, Long Island, NY |
| authorships[9].author.id | https://openalex.org/A5086255610 |
| authorships[9].author.orcid | https://orcid.org/0000-0003-1043-9490 |
| authorships[9].author.display_name | Mala Gupta |
| authorships[9].countries | US |
| authorships[9].affiliations[0].institution_ids | https://openalex.org/I57206974 |
| authorships[9].affiliations[0].raw_affiliation_string | Department of Pathology and Laboratory Medicine, New York University Grossman Long Island School of Medicine, Long Island, NY |
| authorships[9].institutions[0].id | https://openalex.org/I57206974 |
| authorships[9].institutions[0].ror | https://ror.org/0190ak572 |
| authorships[9].institutions[0].type | education |
| authorships[9].institutions[0].lineage | https://openalex.org/I57206974 |
| authorships[9].institutions[0].country_code | US |
| authorships[9].institutions[0].display_name | New York University |
| authorships[9].author_position | middle |
| authorships[9].raw_author_name | Mala Gupta |
| authorships[9].is_corresponding | False |
| authorships[9].raw_affiliation_strings | Department of Pathology and Laboratory Medicine, New York University Grossman Long Island School of Medicine, Long Island, NY |
| authorships[10].author.id | https://openalex.org/A5008605488 |
| authorships[10].author.orcid | https://orcid.org/0000-0002-2856-9966 |
| authorships[10].author.display_name | Cristina Hajdu |
| authorships[10].countries | US |
| authorships[10].affiliations[0].institution_ids | https://openalex.org/I57206974 |
| authorships[10].affiliations[0].raw_affiliation_string | Department of Pathology and Laboratory Medicine, New York University Grossman School of Medicine, New York, NY |
| authorships[10].institutions[0].id | https://openalex.org/I57206974 |
| authorships[10].institutions[0].ror | https://ror.org/0190ak572 |
| authorships[10].institutions[0].type | education |
| authorships[10].institutions[0].lineage | https://openalex.org/I57206974 |
| authorships[10].institutions[0].country_code | US |
| authorships[10].institutions[0].display_name | New York University |
| authorships[10].author_position | middle |
| authorships[10].raw_author_name | Cristina Hajdu |
| authorships[10].is_corresponding | False |
| authorships[10].raw_affiliation_strings | Department of Pathology and Laboratory Medicine, New York University Grossman School of Medicine, New York, NY |
| authorships[11].author.id | https://openalex.org/A5011447518 |
| authorships[11].author.orcid | https://orcid.org/0000-0003-2844-7990 |
| authorships[11].author.display_name | Jonathan Melamed |
| authorships[11].countries | US |
| authorships[11].affiliations[0].institution_ids | https://openalex.org/I57206974 |
| authorships[11].affiliations[0].raw_affiliation_string | Department of Pathology and Laboratory Medicine, New York University Grossman Long Island School of Medicine, Long Island, NY |
| authorships[11].institutions[0].id | https://openalex.org/I57206974 |
| authorships[11].institutions[0].ror | https://ror.org/0190ak572 |
| authorships[11].institutions[0].type | education |
| authorships[11].institutions[0].lineage | https://openalex.org/I57206974 |
| authorships[11].institutions[0].country_code | US |
| authorships[11].institutions[0].display_name | New York University |
| authorships[11].author_position | middle |
| authorships[11].raw_author_name | Jonathan Melamed |
| authorships[11].is_corresponding | False |
| authorships[11].raw_affiliation_strings | Department of Pathology and Laboratory Medicine, New York University Grossman Long Island School of Medicine, Long Island, NY |
| authorships[12].author.id | https://openalex.org/A5113409934 |
| authorships[12].author.orcid | |
| authorships[12].author.display_name | Jessica Widmer |
| authorships[12].countries | US |
| authorships[12].affiliations[0].institution_ids | https://openalex.org/I57206974 |
| authorships[12].affiliations[0].raw_affiliation_string | Department of Gastroenterology, New York University Grossman Long Island School of Medicine, Long Island, NY |
| authorships[12].institutions[0].id | https://openalex.org/I57206974 |
| authorships[12].institutions[0].ror | https://ror.org/0190ak572 |
| authorships[12].institutions[0].type | education |
| authorships[12].institutions[0].lineage | https://openalex.org/I57206974 |
| authorships[12].institutions[0].country_code | US |
| authorships[12].institutions[0].display_name | New York University |
| authorships[12].author_position | middle |
| authorships[12].raw_author_name | Jessica Widmer |
| authorships[12].is_corresponding | False |
| authorships[12].raw_affiliation_strings | Department of Gastroenterology, New York University Grossman Long Island School of Medicine, Long Island, NY |
| authorships[13].author.id | https://openalex.org/A5001230699 |
| authorships[13].author.orcid | |
| authorships[13].author.display_name | John Allendorf |
| authorships[13].countries | US |
| authorships[13].affiliations[0].institution_ids | https://openalex.org/I138873065, https://openalex.org/I57206974 |
| authorships[13].affiliations[0].raw_affiliation_string | Department of Surgery, New York University Grossman Long Island School of Medicine, Long Island, NY |
| authorships[13].institutions[0].id | https://openalex.org/I138873065 |
| authorships[13].institutions[0].ror | https://ror.org/0324fzh77 |
| authorships[13].institutions[0].type | education |
| authorships[13].institutions[0].lineage | https://openalex.org/I138873065 |
| authorships[13].institutions[0].country_code | US |
| authorships[13].institutions[0].display_name | Long Island University |
| authorships[13].institutions[1].id | https://openalex.org/I57206974 |
| authorships[13].institutions[1].ror | https://ror.org/0190ak572 |
| authorships[13].institutions[1].type | education |
| authorships[13].institutions[1].lineage | https://openalex.org/I57206974 |
| authorships[13].institutions[1].country_code | US |
| authorships[13].institutions[1].display_name | New York University |
| authorships[13].author_position | middle |
| authorships[13].raw_author_name | John Allendorf |
| authorships[13].is_corresponding | False |
| authorships[13].raw_affiliation_strings | Department of Surgery, New York University Grossman Long Island School of Medicine, Long Island, NY |
| authorships[14].author.id | https://openalex.org/A5025460672 |
| authorships[14].author.orcid | https://orcid.org/0000-0003-1994-2025 |
| authorships[14].author.display_name | Yaozhong Liu |
| authorships[14].countries | US |
| authorships[14].affiliations[0].institution_ids | https://openalex.org/I114832834 |
| authorships[14].affiliations[0].raw_affiliation_string | Department of Biostatistics and Data Science, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA |
| authorships[14].institutions[0].id | https://openalex.org/I114832834 |
| authorships[14].institutions[0].ror | https://ror.org/04vmvtb21 |
| authorships[14].institutions[0].type | education |
| authorships[14].institutions[0].lineage | https://openalex.org/I114832834 |
| authorships[14].institutions[0].country_code | US |
| authorships[14].institutions[0].display_name | Tulane University |
| authorships[14].author_position | last |
| authorships[14].raw_author_name | Yao-Zhong Liu |
| authorships[14].is_corresponding | True |
| authorships[14].raw_affiliation_strings | Department of Biostatistics and Data Science, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA |
| 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/2023/12/15/2023.10.26.564099.full.pdf |
| open_access.oa_status | green |
| open_access.any_repository_has_fulltext | False |
| created_date | 2023-11-01T00:00:00 |
| display_name | Enhanced Complement Expression in the Tumor Microenvironment Following Neoadjuvant Therapy: Implications for Immunomodulation and Survival in Pancreatic Ductal Adenocarcinoma |
| has_fulltext | True |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T10231 |
| primary_topic.field.id | https://openalex.org/fields/27 |
| primary_topic.field.display_name | Medicine |
| primary_topic.score | 1.0 |
| primary_topic.domain.id | https://openalex.org/domains/4 |
| primary_topic.domain.display_name | Health Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/2730 |
| primary_topic.subfield.display_name | Oncology |
| primary_topic.display_name | Pancreatic and Hepatic Oncology Research |
| related_works | https://openalex.org/W2082860237, https://openalex.org/W2130076355, https://openalex.org/W1990804418, https://openalex.org/W1993764875, https://openalex.org/W2788277189, https://openalex.org/W2013243191, https://openalex.org/W2151865869, https://openalex.org/W2117258802, https://openalex.org/W4234157524, https://openalex.org/W3087615472 |
| cited_by_count | 1 |
| counts_by_year[0].year | 2025 |
| counts_by_year[0].cited_by_count | 1 |
| locations_count | 1 |
| best_oa_location.id | doi:10.1101/2023.10.26.564099 |
| 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 | |
| best_oa_location.pdf_url | https://www.biorxiv.org/content/biorxiv/early/2023/12/15/2023.10.26.564099.full.pdf |
| best_oa_location.version | acceptedVersion |
| best_oa_location.raw_type | posted-content |
| best_oa_location.license_id | |
| 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/10.1101/2023.10.26.564099 |
| primary_location.id | doi:10.1101/2023.10.26.564099 |
| 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 | |
| primary_location.pdf_url | https://www.biorxiv.org/content/biorxiv/early/2023/12/15/2023.10.26.564099.full.pdf |
| primary_location.version | acceptedVersion |
| primary_location.raw_type | posted-content |
| primary_location.license_id | |
| primary_location.is_accepted | True |
| primary_location.is_published | False |
| primary_location.raw_source_name | |
| primary_location.landing_page_url | https://doi.org/10.1101/2023.10.26.564099 |
| publication_date | 2023-10-30 |
| publication_year | 2023 |
| referenced_works | https://openalex.org/W4206841660, https://openalex.org/W3146983201, https://openalex.org/W4211208840, https://openalex.org/W2094974854, https://openalex.org/W4223640931, https://openalex.org/W3207344082, https://openalex.org/W2913268845, https://openalex.org/W3203310175, https://openalex.org/W2067384676, https://openalex.org/W3023906975, https://openalex.org/W4302010997, https://openalex.org/W2801077576, https://openalex.org/W4210426142, https://openalex.org/W4283374689, https://openalex.org/W3120020820, https://openalex.org/W3178835360, https://openalex.org/W2586389371, https://openalex.org/W3005127469, https://openalex.org/W4386917178, https://openalex.org/W4360610306, https://openalex.org/W4387191024, https://openalex.org/W4292641742, https://openalex.org/W3164315209, https://openalex.org/W4288447807, https://openalex.org/W4378211218, https://openalex.org/W4307446864, https://openalex.org/W3090067576, https://openalex.org/W2954610188, https://openalex.org/W4200519100, https://openalex.org/W4382536361, https://openalex.org/W4296061762, https://openalex.org/W1967489571, https://openalex.org/W4320491309, https://openalex.org/W4379055373, https://openalex.org/W4379094776, https://openalex.org/W3171692328, https://openalex.org/W3190202966, https://openalex.org/W2158217645, https://openalex.org/W4220831425, https://openalex.org/W4378212544, https://openalex.org/W2069089843, https://openalex.org/W4311870290, https://openalex.org/W4200065240, https://openalex.org/W1499593166, https://openalex.org/W3147787140, https://openalex.org/W4381715545, https://openalex.org/W2928737883, https://openalex.org/W4283759911, https://openalex.org/W2938697269, https://openalex.org/W4365449961, https://openalex.org/W4386087139, https://openalex.org/W4226269919 |
| referenced_works_count | 52 |
| abstract_inverted_index.+ | 175 |
| abstract_inverted_index.T | 176 |
| abstract_inverted_index.a | 124, 234, 275 |
| abstract_inverted_index.As | 254 |
| abstract_inverted_index.C3 | 191 |
| abstract_inverted_index.We | 53, 102, 303 |
| abstract_inverted_index.as | 233 |
| abstract_inverted_index.by | 152, 215 |
| abstract_inverted_index.in | 62, 112, 138, 195, 199, 213, 248, 263, 314, 337, 346, 354, 372 |
| abstract_inverted_index.is | 5, 274, 318 |
| abstract_inverted_index.of | 127, 146, 333 |
| abstract_inverted_index.on | 19, 290 |
| abstract_inverted_index.to | 40, 57, 88 |
| abstract_inverted_index.C4B | 135 |
| abstract_inverted_index.C7) | 137 |
| abstract_inverted_index.CD4 | 174 |
| abstract_inverted_index.NAT | 43, 104, 122, 161, 209, 292, 306, 371 |
| abstract_inverted_index.Our | 205, 287, 328 |
| abstract_inverted_index.RNA | 38, 82 |
| abstract_inverted_index.TME | 67, 157 |
| abstract_inverted_index.and | 22, 36, 49, 65, 70, 74, 92, 109, 136, 168, 179, 182, 219, 242, 244, 266, 298, 312, 324, 342, 363 |
| abstract_inverted_index.are | 27 |
| abstract_inverted_index.but | 115, 197 |
| abstract_inverted_index.can | 307 |
| abstract_inverted_index.for | 9, 237, 278, 283, 368 |
| abstract_inverted_index.how | 42, 291 |
| abstract_inverted_index.its | 16 |
| abstract_inverted_index.key | 129 |
| abstract_inverted_index.may | 210 |
| abstract_inverted_index.new | 349, 352 |
| abstract_inverted_index.not | 28, 105, 198 |
| abstract_inverted_index.one | 145 |
| abstract_inverted_index.our | 90 |
| abstract_inverted_index.the | 23, 66, 119, 139, 142, 147, 222, 260, 295, 299, 331 |
| abstract_inverted_index.was | 86 |
| abstract_inverted_index.(C3, | 132 |
| abstract_inverted_index.C1R, | 134 |
| abstract_inverted_index.C1S, | 133 |
| abstract_inverted_index.CAFs | 196 |
| abstract_inverted_index.NAT. | 153 |
| abstract_inverted_index.PDAC | 72, 214, 250, 285 |
| abstract_inverted_index.TME, | 140, 316 |
| abstract_inverted_index.TME. | 50, 120, 223 |
| abstract_inverted_index.This | 31, 348 |
| abstract_inverted_index.also | 116 |
| abstract_inverted_index.cell | 94, 202 |
| abstract_inverted_index.gene | 59, 98, 186 |
| abstract_inverted_index.mast | 180 |
| abstract_inverted_index.more | 166, 173, 360 |
| abstract_inverted_index.most | 148 |
| abstract_inverted_index.only | 106 |
| abstract_inverted_index.that | 208, 227, 305 |
| abstract_inverted_index.used | 8, 54 |
| abstract_inverted_index.with | 76, 155, 320 |
| abstract_inverted_index.(NAT) | 4, 257 |
| abstract_inverted_index.(TME) | 26 |
| abstract_inverted_index.PDAC. | 347, 373 |
| abstract_inverted_index.These | 224 |
| abstract_inverted_index.being | 7 |
| abstract_inverted_index.cells | 21, 48, 64, 114, 297 |
| abstract_inverted_index.could | 231, 358 |
| abstract_inverted_index.found | 103 |
| abstract_inverted_index.fully | 29 |
| abstract_inverted_index.genes | 131 |
| abstract_inverted_index.local | 228, 309, 334 |
| abstract_inverted_index.lower | 183 |
| abstract_inverted_index.novel | 235, 279 |
| abstract_inverted_index.other | 200 |
| abstract_inverted_index.serve | 232 |
| abstract_inverted_index.study | 32, 288 |
| abstract_inverted_index.their | 77 |
| abstract_inverted_index.there | 273 |
| abstract_inverted_index.tumor | 24, 296, 300 |
| abstract_inverted_index.types | 95 |
| abstract_inverted_index.which | 317, 357 |
| abstract_inverted_index.(PDAC) | 13 |
| abstract_inverted_index.(TME). | 302 |
| abstract_inverted_index.Design | 52 |
| abstract_inverted_index.cells, | 177 |
| abstract_inverted_index.cells; | 181 |
| abstract_inverted_index.demand | 277 |
| abstract_inverted_index.ductal | 11, 270 |
| abstract_inverted_index.higher | 156 |
| abstract_inverted_index.immune | 184, 322 |
| abstract_inverted_index.making | 141 |
| abstract_inverted_index.reduce | 211 |
| abstract_inverted_index.stroma | 201 |
| abstract_inverted_index.types. | 203 |
| abstract_inverted_index.within | 221 |
| abstract_inverted_index.(CAFs); | 172 |
| abstract_inverted_index.(PDAC), | 272 |
| abstract_inverted_index.Purpose | 1 |
| abstract_inverted_index.Results | 101 |
| abstract_inverted_index.becomes | 259 |
| abstract_inverted_index.between | 68 |
| abstract_inverted_index.compare | 58 |
| abstract_inverted_index.driving | 96 |
| abstract_inverted_index.effects | 18 |
| abstract_inverted_index.employs | 33 |
| abstract_inverted_index.enhance | 308 |
| abstract_inverted_index.exhibit | 162 |
| abstract_inverted_index.focused | 289 |
| abstract_inverted_index.growing | 276 |
| abstract_inverted_index.guiding | 245 |
| abstract_inverted_index.induces | 107, 123 |
| abstract_inverted_index.overall | 164, 326, 343 |
| abstract_inverted_index.pathway | 144 |
| abstract_inverted_index.precise | 364 |
| abstract_inverted_index.reduced | 321 |
| abstract_inverted_index.results | 329 |
| abstract_inverted_index.spatial | 34, 55 |
| abstract_inverted_index.suggest | 226 |
| abstract_inverted_index.therapy | 3, 256 |
| abstract_inverted_index.Abstract | 0 |
| abstract_inverted_index.However, | 15 |
| abstract_inverted_index.Notably, | 121 |
| abstract_inverted_index.PDAC’s | 46, 315 |
| abstract_inverted_index.Patients | 154 |
| abstract_inverted_index.accurate | 361 |
| abstract_inverted_index.affected | 150 |
| abstract_inverted_index.analysis | 85, 189 |
| abstract_inverted_index.approach | 262 |
| abstract_inverted_index.clinical | 344 |
| abstract_inverted_index.distinct | 17 |
| abstract_inverted_index.dynamics | 230, 336 |
| abstract_inverted_index.findings | 91, 206, 225 |
| abstract_inverted_index.identify | 93 |
| abstract_inverted_index.improved | 163, 325 |
| abstract_inverted_index.indicate | 207 |
| abstract_inverted_index.inhibits | 110 |
| abstract_inverted_index.multiple | 128 |
| abstract_inverted_index.outcomes | 345 |
| abstract_inverted_index.pathways | 151 |
| abstract_inverted_index.patients | 73, 369 |
| abstract_inverted_index.post-NAT | 284 |
| abstract_inverted_index.profiles | 61 |
| abstract_inverted_index.provides | 351 |
| abstract_inverted_index.remodels | 45, 118, 294 |
| abstract_inverted_index.response | 241 |
| abstract_inverted_index.tailored | 282 |
| abstract_inverted_index.treating | 264 |
| abstract_inverted_index.validate | 89 |
| abstract_inverted_index.Relevance | 253 |
| abstract_inverted_index.apoptosis | 108 |
| abstract_inverted_index.biomarker | 236, 355 |
| abstract_inverted_index.carcinoma | 20, 47, 63, 113 |
| abstract_inverted_index.conducted | 87 |
| abstract_inverted_index.enhancing | 216 |
| abstract_inverted_index.features. | 79 |
| abstract_inverted_index.following | 160 |
| abstract_inverted_index.highlight | 330 |
| abstract_inverted_index.mechanism | 350 |
| abstract_inverted_index.monocytes | 178 |
| abstract_inverted_index.patients. | 251, 286 |
| abstract_inverted_index.preferred | 261 |
| abstract_inverted_index.response, | 340 |
| abstract_inverted_index.signaling | 220, 313 |
| abstract_inverted_index.snRNA-seq | 188 |
| abstract_inverted_index.survival. | 327 |
| abstract_inverted_index.survival; | 165 |
| abstract_inverted_index.treatment | 240, 339, 365 |
| abstract_inverted_index.NAT-naïve | 71 |
| abstract_inverted_index.associated | 319 |
| abstract_inverted_index.biomarkers | 280 |
| abstract_inverted_index.borderline | 267 |
| abstract_inverted_index.complement | 130, 143, 158, 192, 217, 229, 310, 335 |
| abstract_inverted_index.correlated | 75 |
| abstract_inverted_index.evaluating | 239 |
| abstract_inverted_index.exhaustion | 185, 323 |
| abstract_inverted_index.expression | 60, 99, 159 |
| abstract_inverted_index.facilitate | 359 |
| abstract_inverted_index.importance | 332 |
| abstract_inverted_index.pancreatic | 10, 269 |
| abstract_inverted_index.production | 218, 311 |
| abstract_inverted_index.prognosis, | 238 |
| abstract_inverted_index.resectable | 265, 268 |
| abstract_inverted_index.sequencing | 39, 83 |
| abstract_inverted_index.strategies | 247 |
| abstract_inverted_index.treatment. | 14 |
| abstract_inverted_index.undergoing | 370 |
| abstract_inverted_index.(snRNA-seq) | 84 |
| abstract_inverted_index.Conclusions | 204 |
| abstract_inverted_index.NAT-induced | 97 |
| abstract_inverted_index.NAT-treated | 69, 249 |
| abstract_inverted_index.Neoadjuvant | 2 |
| abstract_inverted_index.coordinated | 125 |
| abstract_inverted_index.demonstrate | 304 |
| abstract_inverted_index.development | 356 |
| abstract_inverted_index.expression. | 187 |
| abstract_inverted_index.fibroblasts | 171 |
| abstract_inverted_index.influencing | 338 |
| abstract_inverted_index.investigate | 41 |
| abstract_inverted_index.neoadjuvant | 255 |
| abstract_inverted_index.resistance, | 243, 341 |
| abstract_inverted_index.single-cell | 37 |
| abstract_inverted_index.therapeutic | 246 |
| abstract_inverted_index.understood. | 30 |
| abstract_inverted_index.Experimental | 51 |
| abstract_inverted_index.alterations. | 100 |
| abstract_inverted_index.demonstrates | 190 |
| abstract_inverted_index.increasingly | 6, 258 |
| abstract_inverted_index.neurotrophic | 169 |
| abstract_inverted_index.particularly | 367 |
| abstract_inverted_index.specifically | 194, 281 |
| abstract_inverted_index.upregulation | 126, 193 |
| abstract_inverted_index.Complementary | 80 |
| abstract_inverted_index.Translational | 252 |
| abstract_inverted_index.opportunities | 353 |
| abstract_inverted_index.proliferation | 111 |
| abstract_inverted_index.significantly | 117, 149 |
| abstract_inverted_index.adenocarcinoma | 12, 271 |
| abstract_inverted_index.differentially | 44, 293 |
| abstract_inverted_index.single-nucleus | 81 |
| abstract_inverted_index.prognostication | 362 |
| abstract_inverted_index.stratification, | 366 |
| abstract_inverted_index.transcriptomics | 35, 56 |
| abstract_inverted_index.immunomodulatory | 167 |
| abstract_inverted_index.microenvironment | 25, 301 |
| abstract_inverted_index.cancer-associated | 170 |
| abstract_inverted_index.clinicopathologic | 78 |
| abstract_inverted_index.immunosuppression | 212 |
| cited_by_percentile_year.max | 95 |
| cited_by_percentile_year.min | 91 |
| corresponding_author_ids | https://openalex.org/A5025460672 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 15 |
| corresponding_institution_ids | https://openalex.org/I114832834 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/3 |
| sustainable_development_goals[0].score | 0.8100000023841858 |
| sustainable_development_goals[0].display_name | Good health and well-being |
| citation_normalized_percentile.value | 0.707133 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |