Evidence map›Paper›PMID 41963636›Full record

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

Immune phenotype and RAS/BRAF status predict outcomes after lung metastasectomy for colorectal cancer.

Berta Martin-Cullell, Aida Piedra, Anna Cristina Virgili, Caterina Fumagalli, Paula Cerdà, Oriol Mirallas, Judit Sanz, Sara Restrepo, Juan Carlos Trujillo, Elisabeth Martínez and 3 more

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In one paragraph

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. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

13 authors.

Berta Martin-CullellMedical Oncology Department, Hospital de la Santa Creu i Sant Pau, Calle Sant Quintí 89, 08025, Barcelona, Spain. bertamartincullell@gmail.com.ORCID http://orcid.org/0000-0002-6669-3570
Aida PiedraMedical Oncology Department, Institut Català d'Oncologia Duran i Reynals, Barcelona, Spain.
Anna Cristina VirgiliMedical Oncology Department, Hospital de la Santa Creu i Sant Pau, Calle Sant Quintí 89, 08025, Barcelona, Spain.
Caterina FumagalliPathology Department, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain.
Paula CerdàMedical Oncology Department, Hospital de la Santa Creu i Sant Pau, Calle Sant Quintí 89, 08025, Barcelona, Spain.
Oriol MirallasDivision of Cancer Medicine, Department of Investigational Cancer Therapeutics, MD Anderson Cancer Center, Houston, USA.
Judit SanzMedical Oncology Department, Hospital de la Santa Creu i Sant Pau, Calle Sant Quintí 89, 08025, Barcelona, Spain.
Sara RestrepoPathology Department, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain.
Juan Carlos TrujilloThoracic Surgery Department, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain.
Elisabeth MartínezThoracic Surgery Department, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain.
Jose Belda-SanchísThoracic Surgery Department, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain.
Justyna SzafranskaPathology Department, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain.
David PáezMedical Oncology Department, Hospital de la Santa Creu i Sant Pau, Calle Sant Quintí 89, 08025, Barcelona, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeColorectal cancer (CRC) presents a marked biological heterogeneity, and the lung is a frequent site of metastatic spread. Although pulmonary metastasectomy can lead to a long-term survival, recurrence rates remain high and prognostic markers are lacking. This study evaluated the prognostic value of clinical, molecular, and histopathological features in CRC patients undergoing lung metastasectomy.

methodsA retrospective cohort of CRC patients who underwent pulmonary metastasectomy at Hospital de la Santa Creu i Sant Pau between September 2011 and October 2023 was analyzed. Clinical variables, molecular alterations, and histopathological characteristics were collected. Immune phenotype (IP) and histological growth pattern (HGP) were assessed by pathologists and survival outcomes were estimated using Kaplan-Meier methods.

results61 patients (median age 67 years) were included. Median overall survival (OS) was 73.1 months, and median recurrence-free survival (RFS) was 17.5 months. Early-stage CRC at diagnosis (stages I-II) was associated with longer RFS (42.7 vs 12.6 months; p = 0.02), whereas elevated preoperative CEA levels predicted shorter RFS (7.1 vs. 21.3 months, p = 0.005) and lung-only metastatic disease was associated with longer OS (80.3 vs 28.6 months; p = 0.01). An immune-desert IP correlated with shorter RFS (4.0 vs. 20.4 months, p = 0.03), and tumors harboring RAS/BRAF mutations had worse lung-specific RFS (14.9 vs. 24.3 months, p = 0.034).

conclusionsAn immune-desert phenotype and RAS/BRAF mutations identify CRC patients at higher risk of recurrence after lung metastasectomy, whereas earlier CRC stage and solitary lung metastasis are associated with more favorable outcomes. Integrating clinical, molecular, and immune-histologic features may improve selection for pulmonary metastasectomy in oligometastatic CRC.

Indexed as

Colorectal NeoplasmsLung NeoplasmsMetastasectomyProto-Oncogene Proteins B-rafras ProteinsAdultAgedBiomarkers, TumorFemaleHumansMaleMiddle AgedMutationNeoplasm Recurrence, LocalPhenotypePrognosisBiomarkers, TumorBRAF protein, humanProto-Oncogene Proteins B-rafras ProteinsColorectal cancerImmune phenotypeLung metastasesRAS/BRAF mutation

Identifiers

PMID41963636

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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.