Evidence map›Paper›PMID 38711991›Full record

ReviewFrontiers in pharmacology2024

Unveiling acquired resistance to anti-EGFR therapies in colorectal cancer: a long and winding road.

Alejandro Ríos-Hoyo, Xavier Monzonís, Joana Vidal, Jenniffer Linares, Clara Montagut

Abstract readReview
In one paragraph

Review in Frontiers in pharmacology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

35 citing papers in PubMed.

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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.

Alejandro Ríos-HoyoYale Cancer Center, Yale School of Medicine, Yale University, New Haven, CT, United States.
Xavier MonzonísDepartment of Medical Oncology, Hospital del Mar Research Institute, Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Barcelona, Spain.
Joana VidalDepartment of Medical Oncology, Hospital del Mar Research Institute, Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Barcelona, Spain.
Jenniffer LinaresDepartment of Medical Oncology, Hospital del Mar Research Institute, Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Barcelona, Spain.
Clara MontagutDepartment of Medical Oncology, Hospital del Mar Research Institute, Centro de Investigación Biomédica en Red de Cáncer (CIBERONC), Barcelona, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Emergence of acquired resistance limits the efficacy of the anti-EGFR therapies cetuximab and panitumumab in metastatic colorectal cancer. In the last decade, preclinical and clinical cohort studies have uncovered genomic alterations that confer a selective advantage to tumor cells under EGFR blockade, mainly downstream re-activation of RAS-MEK signaling and mutations in the extracellular domain of EGFR (EGFR-ECD). Liquid biopsies (genotyping of ctDNA) have been established as an excellent tool to easily monitor the dynamics of genomic alterations resistance in the blood of patients and to select patients for rechallenge with anti-EGFR therapies. Accordingly, several clinical trials have shown clinical benefit of rechallenge with anti-EGFR therapy in genomically-selected patients using ctDNA. However, alternative mechanisms underpinning resistance beyond genomics -mainly related to the tumor microenvironment-have been unveiled, specifically relevant in patients receiving chemotherapy-based multi-drug treatment in first line. This review explores the complexity of the multifaceted mechanisms that mediate secondary resistance to anti-EGFR therapies and potential therapeutic strategies to circumvent acquired resistance.

Indexed as

acquired resistanceanti-EGFRanti-EGFR rechallengeclonal dynamicscolorectal cancerCtDNAliquid biopsytumor heterogeneity

Identifiers

PMID38711991
PMCPMC11070789

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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.