ArticleScientific reports2016
Evaluation of frozen tissue-derived prognostic gene expression signatures in FFPE colorectal cancer samples.
Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00899626 (Novel Colon Cancer Markers in Gastrointestinal Tissue and Biofluids), which is not on this map. Cited by 15 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Novel Colon Cancer Markers in Gastrointestinal Tissue and Biofluids
Who cites it
15 citing papers in PubMed, 20 citations in OpenAlex.
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- PharmaFormer predicts clinical drug responses through transfer learning guided by patient derived organoid.NPJ precision oncology · 2025Article
- Advances in cancer genomics and precision oncology.Genes & genomics · 2025Review
- Enhancing chemotherapy response prediction via matched colorectal tumor-organoid gene expression analysis and network-based biomarker selection.Translational oncology · 2025Article
- Discovery and validation of a 10-gene predictive signature for response to adjuvant chemotherapy in stage II and III colon cancer.Cell reports. Medicine · 2024Article
- Integrated analysis reveals a novel 5-fluorouracil resistance-based prognostic signature with promising implications for predicting the efficacy of chemotherapy and immunotherapy in patients with colorectal cancer.Apoptosis : an international journal on programmed cell death · 2024Article
- Construction of Prognostic Prediction Models for Colorectal Cancer Based on Ferroptosis-Related Genes: A Multi-Dataset and Multi-Model Analysis.Biomedical engineering and computational biology · 2024Article
- A prognostic six-gene expression risk-score derived from proteomic profiling of the metastatic colorectal cancer secretome.The journal of pathology. Clinical research · 2022Article
- Extensive Changes in Transcriptomic "Fingerprints" and Immunological Cells in the Large Organs of Patients Dying of Acute Septic Shock and Multiple Organ Failure Caused byFrontiers in cellular and infection microbiology · 2020Article
- Minichromosome Maintenance Complex (MCM) Genes Profiling and MCM2 Protein Expression in Cervical Cancer Development.Asian Pacific journal of cancer prevention : APJCP · 2019Article
- Identification and Clinical Validation of a Novel 4 Gene-Signature with Prognostic Utility in Colorectal Cancer.International journal of molecular sciences · 2019Article
- Locally advanced rectal cancer transcriptomic-based secretome analysis reveals novel biomarkers useful to identify patients according to neoadjuvant chemoradiotherapy response.Scientific reports · 2019Article
- The Utilization of Formalin Fixed-Paraffin-Embedded Specimens in High Throughput Genomic Studies.International journal of genomics · 2017Review
Corrections and comments
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Authors and funding
10 authors at 3 institutions in 1 country.
Funding
Abstract
Defining molecular features that can predict the recurrence of colorectal cancer (CRC) for stage II-III patients remains challenging in cancer research. Most available clinical samples are Formalin-Fixed, Paraffin-Embedded (FFPE). NanoString nCounter® and Affymetrix GeneChip® Human Transcriptome Array 2.0 (HTA) are the two platforms marketed for high-throughput gene expression profiling for FFPE samples. In this study, to evaluate the gene expression of frozen tissue-derived prognostic signatures in FFPE CRC samples, we evaluated the expression of 516 genes from published frozen tissue-derived prognostic signatures in 42 FFPE CRC samples measured by both platforms. Based on HTA platform-derived data, we identified both gene (99 individual genes, FDR < 0.05) and gene set (four of the six reported multi-gene signatures with sufficient information for evaluation, P < 0.05) expression differences associated with survival outcomes. Using nCounter platform-derived data, one of the six multi-gene signatures (P < 0.05) but no individual gene was associated with survival outcomes. Our study indicated that sufficiently high quality RNA could be obtained from FFPE tumor tissues to detect frozen tissue-derived prognostic gene expression signatures for CRC patients.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.