The decision to treat patients with stage II colon cancer with adjuvant chemotherapy remains controversial. Therefore, there is an urgent need to identify reliable prognostic biomarkers that may be used to identify which patients would benefit from chemotherapy following surgery. In a ground-breaking study investigators assess the biomarker potential of RNAs in stage II colon cancer. Their findings appear in The American Journal of Pathology, published by Elsevier.
Lead investigator Lasse Sommer Kristensen, Ph.D., Department of Biomedicine, Aarhus University, explains, “There are currently no reliable biomarkers for determining whether stage II colon cancer patients would benefit from adjuvant chemotherapy following surgery. Identification of new risk-stratification biomarkers is beneficial — it may spare many patients who are actually cured by the surgery from toxic side effects of chemotherapy while still selecting patients who would benefit from it.”
Using total RNA-sequencing, investigators profiled the landscape and differential expression of coding RNA, linear noncoding RNA, and circular RNA in stage II colon cancer patients with and without recurrence of the disease, as well as in stage III colon cancer patients. They also profiled adjacent normal tissues and liver metastases. The biomarker potential of differentially expressed RNAs in stage II colon cancer was subsequently evaluated. Patient data collected included age, sex, date of surgery, chemotherapy treatment, tumor location, and date of recurrence. Histopathologic data were collected through the Danish Pathology Registry (Patobank) and included staging status, histologic subtype, tumor differentiation, mismatch repair status, and mutational analysis, if performed.
Sixty-two samples from 52 patients were included in the analysis: 18 patients with stage II colon cancer without recurrence, 10 patients with stage II colon cancer with recurrence, eight patients with stage III colon cancer with recurrence, 16 liver metastases, six adjacent normal colon tissues, and four adjacent normal liver tissues.
Workflow and patient exclusion

Initially, 69 samples were included in the study. Subsequently, 7 samples were excluded, bringing the final number of samples to 62. First, the global expression of mRNAs, linear noncoding RNAs, and circular RNAs (circRNAs) was analyzed. Second, differential expression analyses were performed to identify differentially expressed RNAs between sample groups. The red dashed line indicates that samples were analyzed together in differential expression analysis between colon tumors and normal colon. Third, receiver operating characteristic (ROC) analyses were performed to assess the prognostic potential of the detected RNAs in stage II colon cancer.
The investigators found that RNAs with housekeeping functions, such as small nuclear RNAs (snRNAs), small nucleolar RNAs (snoRNAs), and small Cajal body-specific RNAs (scaRNAs), were globally up-regulated in stage II patients who experienced recurrence compared to those who did not. Housekeeping RNAs are constitutively expressed and mostly involved in RNA splicing regulation and rRNA modification.
This is the first study to comprehensively describe the landscape of mRNAs, linear noncoding RNAs, and circular RNAs in local and locally advanced colon cancer and unveiled numerous differentially expressed RNAs across various classes between recurrent and nonrecurrent colon cancer. The expression of these RNA classes is retained in liver metastases, suggesting that they may play important roles in the metastatic process.
Dr Kristensen notes, “We were the first to profile many different types of RNA in stage II colon cancer patients with different outcomes and discovered novel individual biomarkers as well as entire classes of RNA that are commonly deregulated in patients with poor outcomes. Furthermore, many of these classes of RNAs showed great prognostic potential to assist treatment decisions in stage II colon cancer that should be validated in larger groups of patients.”
Colon cancer is the third most common cancer and the second most deadly cancer worldwide, with more than one million new cases and more than half a million estimated cancer-related deaths per year. A considerable number of colon cancer patients with local or local advanced disease suffer from recurrence. Therefore, there is an urgent need for better prognostic biomarkers in this setting. Stage II colon cancer is defined by having penetrated the bowel wall, but without lymph node metastases or distant metastases at the time of diagnosis.
Source – Eurekalert
Korsgaard U, García-Rodríguez JL, Jakobsen T, Ahmadov U, Dietrich KG, Vissing SM, Paasch TP, Lindebjerg J, Kjems J, Hager H, Kristensen LS. (2024) The Transcriptional Landscape of Coding and Noncoding RNAs in Recurrent and Nonrecurrent Colon Cancer. Am J Pathol [Epub ahead of print]. [article]
The decision to treat patients with stage II colon cancer with adjuvant chemotherapy remains controversial. Therefore, there is an urgent need to identify reliable prognostic biomarkers that may be used to identify which patients would benefit from chemotherapy following surgery. In a ground-breaking study investigators assess the biomarker potential of RNAs in stage II colon cancer. Their findings appear in The American Journal of Pathology, published by Elsevier.
Using total RNA-sequencing, investigators profiled the landscape and differential expression of coding RNA, linear noncoding RNA, and circular RNA in stage II colon cancer patients with and without recurrence of the disease, as well as in stage III colon cancer patients. They also profiled adjacent normal tissues and liver metastases. The biomarker potential of differentially expressed RNAs in stage II colon cancer was subsequently evaluated. Patient data collected included age, sex, date of surgery, chemotherapy treatment, tumor location, and date of recurrence. Histopathologic data were collected through the Danish Pathology Registry (Patobank) and included staging status, histologic subtype, tumor differentiation, mismatch repair status, and mutational analysis, if performed.
Sixty-two samples from 52 patients were included in the analysis: 18 patients with stage II colon cancer without recurrence, 10 patients with stage II colon cancer with recurrence, eight patients with stage III colon cancer with recurrence, 16 liver metastases, six adjacent normal colon tissues, and four adjacent normal liver tissues.
Workflow and patient exclusion
Initially, 69 samples were included in the study. Subsequently, 7 samples were excluded, bringing the final number of samples to 62. First, the global expression of mRNAs, linear noncoding RNAs, and circular RNAs (circRNAs) was analyzed. Second, differential expression analyses were performed to identify differentially expressed RNAs between sample groups. The red dashed line indicates that samples were analyzed together in differential expression analysis between colon tumors and normal colon. Third, receiver operating characteristic (ROC) analyses were performed to assess the prognostic potential of the detected RNAs in stage II colon cancer.
The investigators found that RNAs with housekeeping functions, such as small nuclear RNAs (snRNAs), small nucleolar RNAs (snoRNAs), and small Cajal body-specific RNAs (scaRNAs), were globally up-regulated in stage II patients who experienced recurrence compared to those who did not. Housekeeping RNAs are constitutively expressed and mostly involved in RNA splicing regulation and rRNA modification.
This is the first study to comprehensively describe the landscape of mRNAs, linear noncoding RNAs, and circular RNAs in local and locally advanced colon cancer and unveiled numerous differentially expressed RNAs across various classes between recurrent and nonrecurrent colon cancer. The expression of these RNA classes is retained in liver metastases, suggesting that they may play important roles in the metastatic process.
Colon cancer is the third most common cancer and the second most deadly cancer worldwide, with more than one million new cases and more than half a million estimated cancer-related deaths per year. A considerable number of colon cancer patients with local or local advanced disease suffer from recurrence. Therefore, there is an urgent need for better prognostic biomarkers in this setting. Stage II colon cancer is defined by having penetrated the bowel wall, but without lymph node metastases or distant metastases at the time of diagnosis.
Source – Eurekalert
Korsgaard U, García-Rodríguez JL, Jakobsen T, Ahmadov U, Dietrich KG, Vissing SM, Paasch TP, Lindebjerg J, Kjems J, Hager H, Kristensen LS. (2024) The Transcriptional Landscape of Coding and Noncoding RNAs in Recurrent and Nonrecurrent Colon Cancer. Am J Pathol [Epub ahead of print]. [article]
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The decision to treat patients with stage II colon cancer with adjuvant chemotherapy remains controversial. Therefore, there is an urgent need to identify reliable prognostic biomarkers that may be used to identify which patients would benefit from chemotherapy following surgery. In a ground-breaking study investigators assess the biomarker potential of RNAs in stage II colon cancer. Their findings appear in The American Journal of Pathology, published by Elsevier.
Using total RNA-sequencing, investigators profiled the landscape and differential expression of coding RNA, linear noncoding RNA, and circular RNA in stage II colon cancer patients with and without recurrence of the disease, as well as in stage III colon cancer patients. They also profiled adjacent normal tissues and liver metastases. The biomarker potential of differentially expressed RNAs in stage II colon cancer was subsequently evaluated. Patient data collected included age, sex, date of surgery, chemotherapy treatment, tumor location, and date of recurrence. Histopathologic data were collected through the Danish Pathology Registry (Patobank) and included staging status, histologic subtype, tumor differentiation, mismatch repair status, and mutational analysis, if performed.
Sixty-two samples from 52 patients were included in the analysis: 18 patients with stage II colon cancer without recurrence, 10 patients with stage II colon cancer with recurrence, eight patients with stage III colon cancer with recurrence, 16 liver metastases, six adjacent normal colon tissues, and four adjacent normal liver tissues.
Workflow and patient exclusion
Initially, 69 samples were included in the study. Subsequently, 7 samples were excluded, bringing the final number of samples to 62. First, the global expression of mRNAs, linear noncoding RNAs, and circular RNAs (circRNAs) was analyzed. Second, differential expression analyses were performed to identify differentially expressed RNAs between sample groups. The red dashed line indicates that samples were analyzed together in differential expression analysis between colon tumors and normal colon. Third, receiver operating characteristic (ROC) analyses were performed to assess the prognostic potential of the detected RNAs in stage II colon cancer.
The investigators found that RNAs with housekeeping functions, such as small nuclear RNAs (snRNAs), small nucleolar RNAs (snoRNAs), and small Cajal body-specific RNAs (scaRNAs), were globally up-regulated in stage II patients who experienced recurrence compared to those who did not. Housekeeping RNAs are constitutively expressed and mostly involved in RNA splicing regulation and rRNA modification.
This is the first study to comprehensively describe the landscape of mRNAs, linear noncoding RNAs, and circular RNAs in local and locally advanced colon cancer and unveiled numerous differentially expressed RNAs across various classes between recurrent and nonrecurrent colon cancer. The expression of these RNA classes is retained in liver metastases, suggesting that they may play important roles in the metastatic process.
Colon cancer is the third most common cancer and the second most deadly cancer worldwide, with more than one million new cases and more than half a million estimated cancer-related deaths per year. A considerable number of colon cancer patients with local or local advanced disease suffer from recurrence. Therefore, there is an urgent need for better prognostic biomarkers in this setting. Stage II colon cancer is defined by having penetrated the bowel wall, but without lymph node metastases or distant metastases at the time of diagnosis.
Source – Eurekalert
Korsgaard U, García-Rodríguez JL, Jakobsen T, Ahmadov U, Dietrich KG, Vissing SM, Paasch TP, Lindebjerg J, Kjems J, Hager H, Kristensen LS. (2024) The Transcriptional Landscape of Coding and Noncoding RNAs in Recurrent and Nonrecurrent Colon Cancer. Am J Pathol [Epub ahead of print]. [article]
Related Posts
POND-seq enables non-destructive RNA sequencing in living cells
Worm’s radical transformation shows metamorphosis can change the functions of cells
New method allows scientists to follow gene activity over time in the same cells
Single-cell and single-embryo RNA sequencing
RNA sequencing reveals functional chimeric mRNAs in mammalian immunity
Deep learning improves microRNA target prediction from sequence
Atlas of the brain’s striatum could guide researchers to new drug treatments
scLS – a computationally efficient differentially expressed gene detection algorithm
Spatial mapping of RNA turnover kinetics in the mouse brain
Immune cells offer insights on billion-dollar virus
SPIDER improves spatial transcriptomics data using single-cell RNA sequencing
Ultrafast and reference-free sequence discovery in single-cell data
ARCADIA combines RNA sequencing and spatial proteomics to reveal how tissue location shapes cell behavior
An end-to-end computational framework for “Record-seq” transcriptional recording data
A functionally integrated cross-tissue alternative splicing program during short-term calorie restriction
ExoShorkie – predicting RNA-seq coverage of exogenous genomes in yeast by transfer learning
Dietary oxidized plant sterol shifts macrophage state to fuel aortic inflammation
Bonsai reconstructs tree representations for distortion-free visualization and exploration of high-dimensional data
MiRQuery – a user-friendly web app for the interactive analysis and visualization of microRNA sequencing data
RNA sequencing resolves cryptic pathogenic variants in mitochondrial disease
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