Profiling Neoadjuvant Therapy Response in Rectal Cancer Using Publicly Available Transcriptomic RNA-seq Datasets Article Swipe
Aleksandra Stanojević
,
Rafael Stroggilos
,
Mladen Marinković
,
Ana Djurić
,
Suzana Stojanović-Rundić
,
Radmila Janković
,
Sergi Castellvı́-Bel
,
Remond J.A. Fijneman
,
Antonia Vlahou
,
Jérôme Zoidakis
,
Milena Cavic
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1101/2025.07.18.25331799
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1101/2025.07.18.25331799
Neoadjuvant chemoradiotherapy followed by total mesorectal excision is standard for locally advanced rectal cancer, but response varies and current markers are insufficient. This study integrates public bulk RNAseq data to identify predictive features of response. TRIM54 and PABPC4 were up-regulated in the responder group, while ADSS1 and MGAT1 were up-regulated in non-responder group. ARMC2 was identified as a predictive biomarker up-regulated in pathological complete response. Responder group showed enrichment of NK cells and CD4+ lymphocytes, while immune precursors were linked to poor outcome. Transcription factor analysis revealed SP1 and NFKB activations in the non-responder group and TCF15 in responder group. SMAD3 and RDXANK were associated with complete regression, while MYC was dominant in incomplete regression. These findings provided insight into mechanisms underlying therapy response. To our knowledge, this is the first meta-analysis using high-throughput sequencing data, providing a valuable starting point for future rectal cancer research.
Related Topics
Concepts
RNA-Seq
Transcriptome
Colorectal cancer
Profiling (computer programming)
Computational biology
Neoadjuvant therapy
Computer science
Oncology
Medicine
Internal medicine
Biology
Cancer
Gene
Gene expression
Genetics
Breast cancer
Operating system
Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.1101/2025.07.18.25331799
- https://www.medrxiv.org/content/medrxiv/early/2025/07/23/2025.07.18.25331799.full.pdf
- OA Status
- green
- References
- 106
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4412642773
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4412642773Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1101/2025.07.18.25331799Digital Object Identifier
- Title
-
Profiling Neoadjuvant Therapy Response in Rectal Cancer Using Publicly Available Transcriptomic RNA-seq DatasetsWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2025Year of publication
- Publication date
-
2025-07-23Full publication date if available
- Authors
-
Aleksandra Stanojević, Rafael Stroggilos, Mladen Marinković, Ana Djurić, Suzana Stojanović-Rundić, Radmila Janković, Sergi Castellvı́-Bel, Remond J.A. Fijneman, Antonia Vlahou, Jérôme Zoidakis, Milena CavicList of authors in order
- Landing page
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https://doi.org/10.1101/2025.07.18.25331799Publisher landing page
- PDF URL
-
https://www.medrxiv.org/content/medrxiv/early/2025/07/23/2025.07.18.25331799.full.pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
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https://www.medrxiv.org/content/medrxiv/early/2025/07/23/2025.07.18.25331799.full.pdfDirect OA link when available
- Concepts
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RNA-Seq, Transcriptome, Colorectal cancer, Profiling (computer programming), Computational biology, Neoadjuvant therapy, Computer science, Oncology, Medicine, Internal medicine, Biology, Cancer, Gene, Gene expression, Genetics, Breast cancer, Operating systemTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
- References (count)
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106Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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