Author

R. Sundar

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

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Cancer Biology· 4

Signature Assays, Organisms & Methods

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Organism:human· 4 Approach:statistical model· 4 Assay:bulk RNA-seq· 3 Research Focus:differential expression· 3 Research Focus:gene regulatory network inference· 3 Research Focus:clustering· 2 Assay:spatial transcriptomics· 2 Research Focus:cell type annotation· 1

Frequent Co-Authors

P. Tan· 4 shared A. L. K. Tan· 3 shared H. Ma· 3 shared J. B. Y. So· 3 shared K. K. Huang· 3 shared S. Srivastava· 3 shared S. T. Tay· 3 shared T. Sheng· 3 shared

Activity by Year

2020-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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4 shared papersCancer Biology

P. Tan

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4 papers

Recent·Most cited

Spatially Resolved Tumor Ecosystems and Cell States in Gastric Adenocarcinoma Progression and Evolution

H. Ma, S. Srivastava, X. Ong, S. T. Tay, C. Xu, T. Sheng, S. W. T. Ho, B. S. X. Lian, K. K. Huang, Y. T. Goh, C. R. C. Joseph, J. H. Y. Lum, A. L. K. Tan, Y. Zhang, M. S. W. NG, , P. Tan

This study integrates spatial transcriptomics and single-cell data from gastric cancer samples to reveal tumor ecosystem dynamics, evolutionary trajectories, and immune microenvironment features.

bioRxiv · May 8, 2024Cancer Biology

Spatially resolved niche and tumor microenvironmental alterations in gastric cancer peritoneal metastases

J. J. Zhao, J. C.-A. Ong, S. Srivastava, D. K. A. Chia, H. Ma, K. K. Huang, T. Sheng, K. Ramnarayanan, X. Ong, S. T. Tay, T. Hagihara, A. L. K. Tan, M. C. C. Teo, Q. X. Tan, G. W. X. Ng, , R. Sundar

This study identifies transcriptomic and immune features of gastric cancer peritoneal metastases, highlighting predictive markers and therapeutic targets in the tumor microenvironment.

bioRxiv · Mar 21, 2024Cancer Biology

Spatiotemporal Genomic Profiling of Intestinal Metaplasia Reveals Clonal Dynamics of Gastric Cancer Progression

K. K. Huang, H. Ma, T. Uchihara, T. Sheng, R. H. H. Chong, F. Zhu, S. Srivastava, S. T. Tay, R. Sundar, A. L. K. Tan, X. Ong, M. Lee, S. W. T. Ho, T. Lesluyes, P. Van Loo, , P. Tan

This study analyzes genomic and transcriptomic data from gastric samples to identify driver genes and clonal dynamics in intestinal metaplasia, showing their progression to gastric cancer and the role of microbial dysbiosis.

bioRxiv · Apr 10, 2023Cancer Biology

"3G" Trial: An RNA Editing Signature for Guiding Gastric Cancer Chemotherapy

O. An, Y. Song, X. Ke, J. B.-Y. So, R. Sundar, H. Yang, S. Y. Rha, L. M. Hui, T. S. Ting, O. X. Wen, A. T. L. Keng, M. C. H. Ng, E. Tantoso, L. Chen, P. Tan, , Singapore Gastric Cancer Consortium (SGCC)

The paper develops an RNA editing signature (GCRE) to predict chemotherapy response in gastric cancer, achieving 84% accuracy and showing better outcomes in patients with higher editing levels.

bioRxiv · Jun 22, 2020Cancer Biology