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ArticleAnnals of surgical oncology2025

Genomic Signatures of Recurrence After Resection of Early-Stage Node-Negative Colon Cancer.

Daniel Aryeh Metzger, Benjamin C Greenspun, Julianna Brouwer, Ying Li, Alessio Pigazzi, Despina Siolas, Mehraneh D Jafari

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Article in Annals of surgical oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

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4 · The record

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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

7 authors.

Daniel Aryeh Metzger *Department of Surgery, New York-Presbyterian/Weill Cornell, New York, NY, USA. dnm9112@med.cornell.edu.ORCID http://orcid.org/0000-0002-4812-8332
Benjamin C Greenspun *Department of Surgery, New York-Presbyterian/Weill Cornell, New York, NY, USA.
Julianna BrouwerDepartment of Surgery, New York-Presbyterian/Weill Cornell, New York, NY, USA.
Ying LiDepartment of Population Health Sciences, New York-Presbyterian/Weill Cornell, New York, NY, USA.
Alessio PigazziDepartment of Sugery, City of Hope Orange County Lennar Foundation Cancer Center, Irvine, CA, USA.
Despina Siolas *The Sandra and Edward Meyer Cancer Center, Weill Cornell Medicine, New York, NY, USA.
Mehraneh D Jafari *Department of Surgery, New York-Presbyterian/Weill Cornell, New York, NY, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWhereas clinicopathologic risk factors for colon cancer (CC) recurrence are well-established, the role of genomic predictors remains understudied. This study aimed to identify genomic factors associated with recurrence after resection of early-stage, node-negative CC.

methodsA retrospective cohort study was performed using clinicopathologic data, somatic mutations, and mRNA expression profiles from the cBioPortal database. The study enrolled patients with T1-3, N0, or M0 CC who underwent surgical resection and primary tumor sequencing. Those with fewer than 6 months of follow-up evaluation were excluded. Gene expression profiles were classified into consensus molecular subtypes (CMSs). Somatic mutations and CMS groups were analyzed for associations with recurrence.

resultsOf the 305 patients analyzed, 46 (15%) experienced recurrence. The median age at diagnosis was 70 years (interquartile range [IQR], 62-76 years), the gender distribution was balanced. The median follow-up period was 38 months, and the median time to recurrence was 13 months. The following 12 mutated genes were significantly associated with recurrence: KRAS (odds ratio [OR], 2.19), PIK3CA (OR, 2.13), DNAH11 (OR, 3.28), NALCN (OR, 4.69), COL6A3 (OR, 3.12), GRIN2A (OR, 4.92), COL6A1 (OR, 4.25), TNN (OR, 3.25), NEXMIF (OR, 6.97), PKHD1L1 (OR, 3.24), CDH4 (OR, 3.29), and BCL9 (OR, 4.03). Additionally, tumors classified as CMS4/mesenchymal subtype had a greater risk of recurrence (OR, 4.67) than the CMS2/canonical subtype. Patients with CMS4 or at least four mutations associated with recurrence (n = 77) had a 5-year disease-free survival rate of 57.7%.

conclusionThis study identified novel genomic signatures that may improve risk stratification in early-stage node-negative CC, potentially guiding the selection of high-risk patients for adjuvant therapy.

Indexed as

Biomarkers, TumorColonic NeoplasmsMutationNeoplasm Recurrence, LocalAgedFemaleFollow-Up StudiesGene Expression ProfilingGenomicsHumansMaleMiddle AgedNeoplasm StagingPrognosisRetrospective StudiesSurvival RateBiomarkers, Tumor

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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 OpenQuestion graph.