Evidence map›Paper›PMID 39639373›Full record

ArticleJournal of translational medicine2024

High tumor mutational burden assessed through next-generation sequencing predicts favorable survival in microsatellite stable metastatic colon cancer patients.

Annabella Di Mauro, Mariachiara Santorsola, Giovanni Savarese, Roberto Sirica, Monica Ianniello, Alessia Maria Cossu, Anna Ceccarelli, Francesco Sabbatino, Marco Bocchetti, Anna Chiara Carratù and 5 more

Erratum issuedAbstract read
In one paragraph

Article in Journal of translational medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

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  15. Terminally exhausted CD8Frontiers in immunology · 2025
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors.

Annabella Di Mauro *Pathology Unit, Istituto Nazionale Tumori di Napoli, IRCCS "G. Pascale", via M. Semmola, 80131, Naples, Italy.
Mariachiara Santorsola *Structure of Innovative Therapies for Abdominal Metastases, Istituto Nazionale Tumori di Napoli, IRCCS "G. Pascale", via M. Semmola, 80131, Naples, Italy.
Giovanni SavareseAMES, Centro Polidiagnostico Strumentale Srl, 80013, Naples, Italy.
Roberto SiricaAMES, Centro Polidiagnostico Strumentale Srl, 80013, Naples, Italy.
Monica IannielloAMES, Centro Polidiagnostico Strumentale Srl, 80013, Naples, Italy.
Alessia Maria CossuDepartment of Precision Medicine, University of Campania "L. Vanvitelli", Via L. de Crecchio, 7, 80138, Naples, Italy.
Anna CeccarelliMedical Oncology, Fondazione Policlinico Universitario Agostino Gemelli IRCCS-Università Cattolica del Sacro Cuore, Rome, Italy.
Francesco SabbatinoDepartment of Medicine, Surgery and Dentistry, University of Salerno, 84081, Baronissi, Italy.
Marco BocchettiDepartment of Precision Medicine, University of Campania "L. Vanvitelli", Via L. de Crecchio, 7, 80138, Naples, Italy.
Anna Chiara CarratùStructure of Innovative Therapies for Abdominal Metastases, Istituto Nazionale Tumori di Napoli, IRCCS "G. Pascale", via M. Semmola, 80131, Naples, Italy.
Francesca PentimalliDepartment of Medicine and Surgery, LUM University "Giuseppe Degennaro", Bari, Italy.
Gerardo FerraraPathology Unit, Istituto Nazionale Tumori di Napoli, IRCCS "G. Pascale", via M. Semmola, 80131, Naples, Italy.
Guglielmo NastiStructure of Innovative Therapies for Abdominal Metastases, Istituto Nazionale Tumori di Napoli, IRCCS "G. Pascale", via M. Semmola, 80131, Naples, Italy.
Michele Caraglia *Department of Precision Medicine, University of Campania "L. Vanvitelli", Via L. de Crecchio, 7, 80138, Naples, Italy. michele.caraglia@unicampania.it.
Alessandro Ottaiano *Structure of Innovative Therapies for Abdominal Metastases, Istituto Nazionale Tumori di Napoli, IRCCS "G. Pascale", via M. Semmola, 80131, Naples, Italy. a.ottaiano@istitutotumori.na.it.

Funding

Ministero della Salute F/310034/01-03/X56Ministero della Salute Ricerca Corrente L4
6 · The paper itself

Abstract

backgroundMicrosatellite instability (MSI) is a well-established predictive biomarker for immune checkpoint inhibitor (ICI) response in metastatic colon cancer. Both high MSI and tumor mutational burden (TMB) are markers of genomic instability. However, the prognostic and predictive value of TMB in patients with microsatellite stable (MSS) tumors remains unclear.

methodsWe evaluated the prognostic significance of TMB levels in MSS metastatic colon cancer patients undergoing standard treatments. Tumor responses were assessed using RECIST v1.1 criteria. Comprehensive clinical and molecular profiling was conducted, including next-generation sequencing (NGS) for TMB evaluation with the TruSight Oncology® kit. Overall survival (OS) was the primary endpoint. Multivariate Cox regression analysis was utilized to assess the relationship among potential prognostic factors.

resultsAmong 102 MSS metastatic colon cancer patients, high TMB (> 10 mut/mb) was associated with a significantly longer median OS compared to low TMB (70.0 vs 45.0 months, respectively; HR: 0.45; 95% CIs 0.21 to 0.96; P = 0.0396). Multivariate analysis, adjusting for age, gender, number of metastatic sites, response to first-line chemotherapy, RAS mutational status, and liver involvement, identified TMB as an independent prognostic factor, along with response to first-line chemotherapy.

conclusionsOur results highlight the prognostic significance of TMB in MSS metastatic colon cancer patients, suggesting its potential role in patient stratification and treatment decision-making.

Indexed as

Colonic NeoplasmsHigh-Throughput Nucleotide SequencingMicrosatellite InstabilityMutationNeoplasm MetastasisAdultAgedAged, 80 and overFemaleHumansKaplan-Meier EstimateMaleMicrosatellite RepeatsMiddle AgedMultivariate AnalysisPrognosisColon cancerMicrosatellite instabilityNGSPrognosisTumor mutational burden

Identifiers

PMID39639373
PMCPMC11619254

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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 OpenQuestion graph.