Evidence map›Paper›PMID 40770356›Full record

ArticleJournal of translational medicine2025

Distinctive chromosomal, mutational and transcriptional profiling in colon versus rectal cancers.

Maria Teresa De Angelis, Antonia Rizzuto, Angela Amaddeo, Carlo Sagnelli, Niccolò Vono, Michela Reda, Valentina Lise, Luca Parrillo, Carmela De Marco, Donatella Malanga and 2 more

Abstract readComparative Study
In one paragraph

Article in Journal of translational medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Integrative Analysis UncoversCurrent issues in molecular biology · 2026
    Article
  3. Article
  4. Article
  5. Prognostic and predictive value of AXL and C-MET in patients with rectal cancer.Arquivos brasileiros de cirurgia digestiva : ABCD = Brazilian archives of digestive surgery · 2026
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Maria Teresa De AngelisDepartment of Experimental and Clinical Medicine, University "Magna Graecia" of Catanzaro, Campus "S. Venuta", Germaneto, 88100, Catanzaro, Italy.
Antonia RizzutoDepartment of Medical and Surgical Sciences, University "Magna Graecia", 88100, Catanzaro, Italy.
Angela AmaddeoDepartment of Medical and Surgical Sciences, University "Magna Graecia", 88100, Catanzaro, Italy.
Carlo SagnelliDepartment of Medical and Surgical Sciences, University "Magna Graecia", 88100, Catanzaro, Italy.
Niccolò VonoDepartment of Experimental and Clinical Medicine, University "Magna Graecia" of Catanzaro, Campus "S. Venuta", Germaneto, 88100, Catanzaro, Italy.
Michela RedaDepartment of Experimental and Clinical Medicine, University "Magna Graecia" of Catanzaro, Campus "S. Venuta", Germaneto, 88100, Catanzaro, Italy.
Valentina LiseDepartment of Experimental and Clinical Medicine, University "Magna Graecia" of Catanzaro, Campus "S. Venuta", Germaneto, 88100, Catanzaro, Italy.
Luca ParrilloURT Genomics of Diabetes, Institute of Endotypes in Oncology, Metabolism and Immunology (IEOMI) "Gaetano Salvatore", National Research Council, Department of Translational Medical Sciences, Federico II University of Naples, 80131, Naples, Italy.
Carmela De MarcoDepartment of Experimental and Clinical Medicine, University "Magna Graecia" of Catanzaro, Campus "S. Venuta", Germaneto, 88100, Catanzaro, Italy.
Donatella MalangaDepartment of Experimental and Clinical Medicine, University "Magna Graecia" of Catanzaro, Campus "S. Venuta", Germaneto, 88100, Catanzaro, Italy.
Gianluca SantamariaDepartment of Experimental and Clinical Medicine, University "Magna Graecia" of Catanzaro, Campus "S. Venuta", Germaneto, 88100, Catanzaro, Italy. gsantamaria@unicz.it.ORCID 0000-0001-9284-7492
Giuseppe VigliettoDepartment of Experimental and Clinical Medicine, University "Magna Graecia" of Catanzaro, Campus "S. Venuta", Germaneto, 88100, Catanzaro, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundColorectal cancer (CRC) encompasses tumors arising in the colon (CC) and rectum (RC), often treated as a single disease despite emerging evidence of biological divergence. Understanding the molecular differences between CC and RC is critical for improving diagnosis, prognosis, and therapeutic strategies.

methodsWe performed an integrated genomic and transcriptomic analysis of CC and RC data from The Cancer Genome Atlas (TCGA) to investigate their degree of similarity and observed that these tumors present distinct molecular profiles, which suggest an evolution through divergent pathways. Comparative analyses included copy number alterations (CNAs), somatic mutations, driver gene prediction, differential gene expression, pathway enrichment, and survival analysis.

resultsChromosomal analyses revealed that 43% of focal and 77% of large-scale CNAs were specific of CC, while 10.5% and 57% were specific of RC with 8% of mutant genes unique to CC and 0.18% to RC. CC and RC presented distinct profiles of gene mutations, with CC showing significantly higher tumor mutational burden (0.51 muts/Mb vs 0.28 muts/Mb in RC). Distinct mutational signatures were identified, with CC characterized by a higher frequency of PIK3CA, BRAF, and DNAH1 mutations, while RC showed enrichment for TP53 and NRAS mutations. Importantly, analysis of predicted non-canonical driver genes identified ACVR1B, LTBP4, SETD1A as CC-specific drivers and C4BPA, EHD1 as RC-specific drivers, underscoring divergent oncogenic mechanisms. However, the most substantial divergence was observed in transcriptomic profiling, with 56% and 33% of DEGs (in CC and RC, respectively) that were tumor-type specific. Notably, RC tumors segregated into two distinct transcriptional subtypes (Cluster 1 and Cluster 2), with Cluster 1 showed a more heterogeneous Consensus Molecular Subtypes (CMS) distribution, while Cluster 2 enriched in CMS4 (mesenchymal) and CMS3 (metabolic) consensus molecular subtypes. Accordingly, Gene Set Enrichment Analysis revealed CC-specific upregulation of Wnt, MYC, and mTOR signaling pathways, and RC-specific enrichment of GPCR and neuronal development pathways. On the other hand, pseudogene expression was significantly higher in CC, suggesting differential mechanisms of transcriptional dysregulation. Finally, we identified an RC-specific multigene survival signature as a prognostic model involving upregulation of C2CD4B, HSPD1P1, LINC01356, CBX3P9, GATA2-AS1 and downregulation of ATP5F1EP2, HSP90AB3P and SNRPFP1.

conclusionsCollectively, our findings provide robust molecular evidence that CC and RC follow divergent oncogenic pathways, emphasizing the need for site-specific biomarker development and therapeutic targeting in colorectal cancer.

Indexed as

Chromosomes, HumanColonic NeoplasmsGene Expression ProfilingMutationRectal NeoplasmsDNA Copy Number VariationsGene Expression Regulation, NeoplasticHumansColon cancerConsensus molecular subtypesCopy number alterationsDriver genesGenomic profilingMolecular stratificationRectal cancerTranscriptomic analysis

Identifiers

PMID40770356
PMCPMC12330160

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

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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 Socratic graph.