Evidence map›Paper›PMID 38617479›Full record

ReviewHepatobiliary surgery and nutrition2024

Molecular profiling and patient selection for the multimodal approaches for patients with resectable colorectal liver metastases.

Raphael L C Araujo, Leonardo G Fonseca, Raphael Oliveira Silva, Marcelo Moura Linhares, Pedro L S Uson Junior

Abstract readReview
In one paragraph

Review in Hepatobiliary surgery and nutrition, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. 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

5 authors.

Raphael L C AraujoDepartment of Surgery, Universidade Federal de São Paulo, São Paulo, SP, Brazil.ORCID https://orcid.org/0000-0002-7834-5944
Leonardo G FonsecaHospital e Maternidade Brasil-Rede D'Or São Luiz, Santo André, SP, Brazil.
Raphael Oliveira SilvaDepartment of Surgery, Universidade Federal de São Paulo, São Paulo, SP, Brazil.
Marcelo Moura LinharesDepartment of Surgery, Universidade Federal de São Paulo, São Paulo, SP, Brazil.
Pedro L S Uson JuniorDepartment of Oncology, Hospital Israelita Albert Einstein, São Paulo, SP, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Colorectal cancer represents the third most common cancer and about 20% are diagnosed with synchronous metastatic disease. From a historical point of view, surgery remains the mainstream treatment for resectable colorectal liver metastases (CRLM). Furthermore, disease outcomes are improving due significant advances in systemic treatments and diagnostic methods. However, the optimal timing for neoadjuvant chemotherapy or upfront surgery for CRLM has not yet been established and remains an open question. Thus, patient selection combining image workouts, time of recurrence, positive lymph nodes, and molecular biomarkers can improve the decision-making process. Nevertheless, molecular profiling is rising as a promising field to be incorporated in the multimodal approach and guide patient selection and sequencing of treatment. Tumor biomakers, genetic profiling, and circulating tumor DNA have been used to offer as much personalized treatment as possible, based on the precision oncology concept of tailored care rather than a guideline-based therapy. This review article discusses the role of molecular pathology and biomarkers as prognostic and predictor factors in the diagnosis and treatment of resectable CRLM.

Indexed as

chemotherapycirculating tumor DNAColorectal liver metastases (CRLM)molecular pathologysurgerytumor markers

Identifiers

PMID38617479
PMCPMC11007353

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

None linked

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.