GLORIA

GEOMAR Library Ocean Research Information Access

X

Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
Filter
  • American Association for Cancer Research (AACR)  (2)
  • Ding, Li  (2)
Material
Publisher
  • American Association for Cancer Research (AACR)  (2)
Person/Organisation
Language
Years
Subjects(RVK)
  • 1
    Online Resource
    Online Resource
    Abstract 2025: Spatial transcriptomic profiling of progression markers in clear cell renal cell carcinoma
    American Association for Cancer Research (AACR) ; 2022
    In:  Cancer Research Vol. 82, No. 12_Supplement ( 2022-06-15), p. 2025-2025
    Details
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 82, No. 12_Supplement ( 2022-06-15), p. 2025-2025
    Abstract: Next-generation sequencing enabled molecular landscaping and the discovery of novel tumor markers in ccRCC. However, the spatial relationships and histological features of the tumor microenvironment were lost during this process. Combining snRNA-seq, snATAC-seq, Spatial Transcriptomics (ST) technology, and immunofluorescence labeling, we discovered novel ccRCC progression tumor markers, and uncovered their spatial dependent expression pattern in both human ccRCC tumors and patient-derived xenograft (PDX). Using snRNA-seq and snATAC-seq, novel tumor progression markers such as NDRG1, MGST1, ABCC3 and PCSK6 were discovered, and their expressions were validated in ST. We found that one of the key novel tumor markers, CP, exhibited specific spatial expression patterns on tissue slides. The elevation of CP expression region is associated with a higher degree of hyalinization in ccRCC human tumor samples. Similarly, using immunofluorescence labeling, we validated the co-expression of CP and PCSK6 canonical ccRCC marker CA9. Overall, this study revealed novel ccRCC progression markers and linked their spatial expression pattern with histological features. Citation Format: Chia-Kuei Mo, Yige Wu, Terekhanova Nadezhda, Caravan Wagma, Preet Lal, Siqi Chen, Nataly Naser AL Deen, Ruiyang Liu, Yanyan Zhao, Kazuhito Sato, Lijun Yao, Mamatha Serasanambati, Andrew Shinkle, Reyka G. Jayasinghe, Li Ding, Feng Chen. Spatial transcriptomic profiling of progression markers in clear cell renal cell carcinoma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 2025.
    Type of Medium: Online Resource
    ISSN: 1538-7445
    URL: Article
    DOI: 10.1158/1538-7445.AM2022-2025
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2022
    detail.hit.zdb_id: 2036785-5
    detail.hit.zdb_id: 1432-1
    detail.hit.zdb_id: 410466-3
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    Online Resource
  • 2
    Online Resource
    Online Resource
    Single-Cell Discovery and Multiomic Characterization of Therapeutic Targets in Multiple Myeloma
    American Association for Cancer Research (AACR) ; 2023
    In:  Cancer Research Vol. 83, No. 8 ( 2023-04-14), p. 1214-1233
    Details
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 83, No. 8 ( 2023-04-14), p. 1214-1233
    Abstract: Multiple myeloma (MM) is a highly refractory hematologic cancer. Targeted immunotherapy has shown promise in MM but remains hindered by the challenge of identifying specific yet broadly representative tumor markers. We analyzed 53 bone marrow (BM) aspirates from 41 MM patients using an unbiased, high-throughput pipeline for therapeutic target discovery via single-cell transcriptomic profiling, yielding 38 MM marker genes encoding cell-surface proteins and 15 encoding intracellular proteins. Of these, 20 candidate genes were highlighted that are not yet under clinical study, 11 of which were previously uncharacterized as therapeutic targets. The findings were cross-validated using bulk RNA sequencing, flow cytometry, and proteomic mass spectrometry of MM cell lines and patient BM, demonstrating high overall concordance across data types. Independent discovery using bulk RNA sequencing reiterated top candidates, further affirming the ability of single-cell transcriptomics to accurately capture marker expression despite limitations in sample size or sequencing depth. Target dynamics and heterogeneity were further examined using both transcriptomic and immuno-imaging methods. In summary, this study presents a robust and broadly applicable strategy for identifying tumor markers to better inform the development of targeted cancer therapy. Significance: Single-cell transcriptomic profiling and multiomic cross-validation to uncover therapeutic targets identifies 38 myeloma marker genes, including 11 transcribing surface proteins with previously uncharacterized potential for targeted antitumor therapy.
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
    URL: Article
    DOI: 10.1158/0008-5472.CAN-22-1769
    RVK:
    XA 36000
    RVK:
    XA 10000
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2023
    detail.hit.zdb_id: 2036785-5
    detail.hit.zdb_id: 1432-1
    detail.hit.zdb_id: 410466-3
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    Online Resource
Close ⊗
This website uses cookies and the analysis tool Matomo. More information can be found here...