Proteomics

Dataset Information

0

Panomics reveals patient individuality as the major driver of colorectal cancer progression


ABSTRACT: Colorectal cancer (CRC) is one of the most prevalent cancers, with over one million new cases per year. Overall, prognosis of CRC largely depends on the disease stage and metastatic status. As precision oncology for patients with CRC continues to improve, this study aimed to integrate genomic, transcriptomic, and proteomic analyses to identify significant differences in expression during CRC progression using a unique set of paired patient samples while considering tumour heterogeneity.We analysed fresh-frozen tissue samples prepared under strict cryogenic conditions of matched healthy colon mucosa, colorectal carcinoma, and liver metastasis from the same patients. Somatic mutations of known cancer-related genes were analysed using Illumina's TruSeq Amplicon Cancer Panel; the transcriptome was assessed comprehensively using Clariom D microarrays. The global proteome was evaluated by liquid chromatography-coupled mass spectrometry (LC‒MS/MS) and validated by two-dimensional difference in-gel electrophoresis. Subsequent unsupervised principal component clustering, statistical comparisons, and gene set enrichment analyses were calculated based on differential expression results.Although panomics revealed low RNA and protein expression of CA1, CLCA1, MATN2, AHCYL2, and FCGBP in malignant tissues compared to healthy colon mucosa, no differentially expressed RNA or protein targets were detected between tumour and metastatic tissues. Subsequent intra-patient comparisons revealed highly specific expression differences (e.g., SRSF3, OLFM4, and CEACAM5) associated with patient-specific transcriptomes and proteomes.Our research results highlight the importance of inter- and intra-tumour heterogeneity as well as individual, patient-paired evaluations for clinical studies. In addition to changes among groups reflecting CRC progression, we identified significant expression differences between normal colon mucosa, primary tumour, and liver metastasis samples from individuals, which might accelerate implementation of precision oncology in the future.

INSTRUMENT(S): Q Exactive

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Epithelial Cell, Colon

DISEASE(S): Colon Cancer

SUBMITTER: Thorben Sauer  

LAB HEAD: Timo Gemoll

PROVIDER: PXD036434 | Pride | 2023-03-11

REPOSITORIES: Pride

Dataset's files

Source:
Action DRS
LM1.raw Raw
LM2.raw Raw
LM3.raw Raw
LM4.raw Raw
NM1.raw Raw
Items per page:
1 - 5 of 21

Similar Datasets

2016-04-07 | E-GEOD-70468 | biostudies-arrayexpress
2015-08-01 | E-GEOD-67895 | biostudies-arrayexpress
2011-03-17 | E-GEOD-20970 | biostudies-arrayexpress
2018-10-17 | PXD006776 | Pride
2015-08-01 | E-GEOD-68377 | biostudies-arrayexpress
2012-11-01 | E-GEOD-25228 | biostudies-arrayexpress
2014-08-26 | E-GEOD-60697 | biostudies-arrayexpress
2015-08-01 | E-GEOD-54632 | biostudies-arrayexpress
2024-10-17 | PXD050863 | Pride
2016-11-03 | E-MTAB-4910 | biostudies-arrayexpress