Evidence map›Paper›PMID 40864753›Full record

ArticleCurrent issues in molecular biology2025

Towards Personalized Precision Oncology: A Feasibility Study of NGS-Based Variant Analysis of FFPE CRC Samples in a Chilean Public Health System Laboratory.

Eduardo Durán-Jara, Iván Ponce, Marcelo Rojas-Herrera, Jessica Toro, Paulo Covarrubias, Evelin González, Natalia T Santis-Alay, Mario E Soto-Marchant, Katherine Marcelain, Bárbara Parra and 1 more

Abstract read
In one paragraph

Article in Current issues in molecular biology, 2025. 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

11 authors.

Eduardo Durán-JaraSubdepartamento de Genómica y Genética Molecular, Laboratorio Nacional Biomédico y de Referencia, Instituto de Salud Pública de Chile, Av. Marathon 1000, Ñuñoa, Santiago 7780050, Chile.ORCID 0000-0001-6974-7004
Iván PonceSubdepartamento de Genómica y Genética Molecular, Laboratorio Nacional Biomédico y de Referencia, Instituto de Salud Pública de Chile, Av. Marathon 1000, Ñuñoa, Santiago 7780050, Chile.
Marcelo Rojas-HerreraSubdepartamento de Genómica y Genética Molecular, Laboratorio Nacional Biomédico y de Referencia, Instituto de Salud Pública de Chile, Av. Marathon 1000, Ñuñoa, Santiago 7780050, Chile.
Jessica ToroDepartamento de Oncología Básico Clínico, Laboratorio de Genómica del Cáncer, Facultad de Medicina, Universidad de Chile, Av. Independencia 1027, Independencia, Santiago 8380453, Chile.ORCID 0000-0002-7813-1380
Paulo CovarrubiasSubdepartamento de Genómica y Genética Molecular, Laboratorio Nacional Biomédico y de Referencia, Instituto de Salud Pública de Chile, Av. Marathon 1000, Ñuñoa, Santiago 7780050, Chile.
Evelin GonzálezDepartamento de Oncología Básico Clínico, Laboratorio de Genómica del Cáncer, Facultad de Medicina, Universidad de Chile, Av. Independencia 1027, Independencia, Santiago 8380453, Chile.
Natalia T Santis-AlayDepartamento Agencia Nacional de Dispositivos Médicos, Instituto de Salud Pública de Chile, Av. Marathon 1000, Ñuñoa, Santiago 7780050, Chile.ORCID 0009-0000-8181-6746
Mario E Soto-MarchantDepartamento Agencia Nacional de Dispositivos Médicos, Instituto de Salud Pública de Chile, Av. Marathon 1000, Ñuñoa, Santiago 7780050, Chile.ORCID 0009-0007-3571-8556
Katherine MarcelainDepartamento de Oncología Básico Clínico, Laboratorio de Genómica del Cáncer, Facultad de Medicina, Universidad de Chile, Av. Independencia 1027, Independencia, Santiago 8380453, Chile.ORCID 0000-0003-4018-6623
Bárbara ParraSubdepartamento de Genómica y Genética Molecular, Laboratorio Nacional Biomédico y de Referencia, Instituto de Salud Pública de Chile, Av. Marathon 1000, Ñuñoa, Santiago 7780050, Chile.
Jorge FernándezSubdepartamento de Genómica y Genética Molecular, Laboratorio Nacional Biomédico y de Referencia, Instituto de Salud Pública de Chile, Av. Marathon 1000, Ñuñoa, Santiago 7780050, Chile.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Massively parallel or next-generation sequencing (NGS) has enabled the genetic characterization of cancer patients, allowing the identification of somatic and germline variants associated with their diagnosis, tumor classification, and therapy response. Despite its benefits, NGS testing is not yet available in the Chilean public health system, rendering it both costly and time-consuming for patients and clinicians. Using a retrospective cohort of 67 formalin-fixed, paraffin-embedded (FFPE) colorectal cancer (CRC) samples, we aimed to implement the identification, annotation, and prioritization of relevant actionable tumor somatic variants in our laboratory, as part of the public health system. We compared two different library preparation methodologies (amplicon-based and capture-based) and different bioinformatics pipelines for sequencing analysis to assess advantages and disadvantages of each one. We obtained 80.5% concordance between actionable variants detected in our analysis and those obtained in the Cancer Genomics Laboratory from the Universidad de Chile (62 out of 77 variants), a validated laboratory for this methodology. Notably, 98.4% (61 out of 62) of variants detected previously by the validated laboratory were also identified in our analysis. Then, comparing the hybridization capture-based library preparation methodology with the amplicon-based strategy, we found ~94% concordance between identified actionable variants across the 15 shared genes, analyzed by the TumorSec

Indexed as

actionable variantscancer biomarkersNGSprecision medicinepublic health

Identifiers

PMID40864753
PMCPMC12384127

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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.