Evidence map›Paper›PMID 41979803›Full record

ArticleClinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico2026

Rethinking mucinous colorectal adenocarcinoma classification: evidence from histopathology and RAS mutations.

Dorra Wider, Haifa Tounsi Guettiti, Monia Ardhaoui, Amira Jaballah-Gabteni, Jihenne Ben Aissa, Ines Ben Ayed, Nadia Ben Jemii, Hamza Yaiche, Emna Fehri, Essia Habachi and 3 more

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Article in Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

13 authors.

Dorra WiderPathology Department, Institut Pasteur de Tunis, Tunis, Tunisia. dorra.wider@pasteur.utm.tn.ORCID http://orcid.org/0009-0009-0315-9504
Haifa Tounsi GuettitiPathology Department, Institut Pasteur de Tunis, Tunis, Tunisia.
Monia ArdhaouiPathology Department, Institut Pasteur de Tunis, Tunis, Tunisia.
Amira Jaballah-GabteniPathology Department, Institut Pasteur de Tunis, Tunis, Tunisia.
Jihenne Ben AissaPathology Department, Institut Pasteur de Tunis, Tunis, Tunisia.
Ines Ben AyedPathology Department, Institut Pasteur de Tunis, Tunis, Tunisia.
Nadia Ben JemiiPathology Department, Institut Pasteur de Tunis, Tunis, Tunisia.
Hamza YaichePathology Department, Institut Pasteur de Tunis, Tunis, Tunisia.
Emna FehriPathology Department, Institut Pasteur de Tunis, Tunis, Tunisia.
Essia HabachiPathology Department, Institut Pasteur de Tunis, Tunis, Tunisia.
Afifa MaaloulPathology Department, Institut Pasteur de Tunis, Tunis, Tunisia.
Emna EnnaiferPathology Department, Institut Pasteur de Tunis, Tunis, Tunisia.
Samir BoubakerPathology Department, Institut Pasteur de Tunis, Tunis, Tunisia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeMucinous adenocarcinoma (MAC) is a distinct and aggressive subtype of colorectal cancer (CRC), traditionally defined by > 50% mucinous component. However, evidence suggests tumors with lower mucin content may behave similarly. This study investigated clinicopathological and molecular differences between mucinous and non-mucinous CRC, and evaluated the prognostic relevance of the current mucin threshold.

methodsWe retrospectively analyzed 1716 CRC cases (2017-2021) from the Institut Pasteur de Tunis. Tumors were classified as NMAC (0-5% mucin), ACMC1 (5-50%), or MAC (> 50%). .RAS mutation status was determined using Lightmix (TibMolBiol). Clinical, histological, and metastatic features comparison across groups and survival analysis were assessed using SPSS v26.

resultsTumors with any mucinous component (5-100%) were significantly associated with right-sided location (p < 0.001), signet-ring cells (p < 0.001), synchronous peritoneal metastasis (p = 0.002-0.02), and KRAS mutations (p = 0.031) versus NMAC. Importantly, ACMC1 (5-50%) shared aggressive features with MAC, including lymphovascular invasion (p = 0.027) and distinct metastatic patterns.

conclusionsOur findings debate the WHO 50% mucin threshold, showing that tumors with 5-50% mucin exhibit comparable aggressiveness to classical MAC. Integrating molecular profiling with histology may improve risk stratification and guide tailored therapeutic strategies for mucinous CRC, regardless of mucin proportion.

Indexed as

Adenocarcinoma, MucinousColorectal NeoplasmsMutationProto-Oncogene Proteins p21(ras)AdultAgedAged, 80 and overFemaleHumansMaleMiddle AgedMucinsPrognosisRetrospective StudiesKRAS protein, humanMucinsProto-Oncogene Proteins p21(ras)Colorectal cancerKRAS statusMucinous componentPatient management

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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.