Evidence map›Paper›PMID 35592200›Full record

ArticleCureus2022

Genomic Landscape of Actionable Mutations in Primary and Metastatic Tissues of Colon Adenocarcinoma.

Emre Yekedüz, Hakan Akbulut, Güngör Utkan, Yüksel Ürün

Abstract read
In one paragraph

Article in Cureus, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. 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

4 authors.

Emre YekedüzMedical Oncology, Ankara University School of Medicine, Ankara, TUR.
Hakan AkbulutMedical Oncology, Ankara University School of Medicine, Ankara, TUR.
Güngör UtkanMedical Oncology, Ankara University School of Medicine, Ankara, TUR.
Yüksel ÜrünMedical Oncology, Ankara University School of Medicine, Ankara, TUR.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim To assess the actionable genomic landscape of colon adenocarcinoma in the primary and metastatic tumor tissues. Methods The data from the American Association for Cancer Research (AACR) Project Genomics Evidence Neoplasia Information Exchange (GENIE) were used in this study. Colon adenocarcinoma patients with primary and metastatic tissue samples (distant organ and lymph node) were selected. Patients with samples from a local recurrence, not otherwise specified tumor samples, and data not collected for sampling localization were excluded. Results A total of 3286 and 1727 patients were included in the primary and metastatic tissue sample groups, respectively. There was no difference between the groups in Kirsten rat sarcoma viral oncogene homolog (KRAS) mutation rates. The rates of v-Raf murine sarcoma viral oncogene homolog B (BRAF) and mismatch repair (MMR) gene mutations were higher in the primary tumor tissues than in the metastatic tumor tissues. There was also no difference between the groups in other actionable gene alterations (e.g. ERBB2 amplification and neurotrophic receptor tyrosine kinase (NTRK) 1 and NTRK3 fusions). In contrast to all cohorts, in Asian and black patients, there was no difference in actionable genomic landscape between the primary and metastatic tumor tissues. Conclusion This study had the largest number of colon cancer patients that evaluated the actionable genomic alterations in primary and metastatic tumor tissues. BRAF and MMR gene alterations were more frequent in the primary tumor tissues than the metastatic tumor tissues.

Indexed as

braf mutationcolorectal neoplasmsgenomicsk-ras mutationsneoplasm metastasis

Identifiers

PMID35592200
PMCPMC9110093

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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.