Evidence map›Paper›PMID 37260182›Full record

ArticleCancer medicine2023

Genomic landscape of locally advanced rectal adenocarcinoma: Comparison between before and after neoadjuvant chemoradiation and effects of genetic biomarkers on clinical outcomes and tumor response.

Tae Hoon Lee, Bum-Sup Jang, Ji Hyun Chang, Eunji Kim, Jeong Hwan Park, Eui Kyu Chie

Open access · goldAbstract read
In one paragraph

Article in Cancer medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.8field-weighted citation impact, top 16% of its field
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

4 citing papers in PubMed, 7 citations in OpenAlex.

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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

6 authors at 2 institutions in 2 countries.

Tae Hoon LeeDepartment of Radiation Oncology, Seoul National University Hospital, Seoul, Republic of Korea.ORCID 0000-0002-4723-3931
Bum-Sup JangDepartment of Radiation Oncology, Seoul National University Hospital, Seoul, Republic of Korea.ORCID 0000-0002-7064-9855
Ji Hyun ChangDepartment of Radiation Oncology, Seoul National University Hospital, Seoul, Republic of Korea.ORCID 0000-0001-5921-5522
Eunji KimDepartment of Radiation Oncology, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul, Republic of Korea.ORCID 0000-0002-0565-9301
Jeong Hwan ParkDepartment of Pathology, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul, Republic of Korea.ORCID 0000-0003-4522-9928
Eui Kyu ChieDepartment of Radiation Oncology, Seoul National University Hospital, Seoul, Republic of Korea.ORCID 0000-0003-2027-7472
Seoul National University · KRSeoul National University Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo explore genomic biomarkers in rectal cancer by performing whole-exome sequencing. MATERIALS AND

methodsPre-chemoradiation (CRT) biopsy and post-CRT surgical specimens were obtained from 27 patients undergoing neoadjuvant CRT followed by definitive resection. Exomes were sequenced to a mean coverage of 30×. Somatic single-nucleotide variants (SNVs) and insertions/deletions (indels) were identified. Tumor mutational burden was defined as the number of SNVs or indels. Mutational signatures were extracted and fitted to COSMIC reference signatures. Tumor heterogeneity was quantified with a mutant-allele tumor heterogeneity (MATH) score. Genetic biomarkers and frequently occurred copy number alterations (CNAs) were compared between pre- and post-CRT specimens. Their associations with tumor regression grade (TRG) and clinical outcomes were explored.

resultsTop five mutated genes were APC, TP53, NF1, KRAS, and NOTCH1 for pre-CRT samples and APC, TP53, NF1, CREBBP, and ATM for post-CRT samples. Several gene mutations including RUNX1, EGFR, and TP53 in pre-CRT samples showed significant association with clinical outcomes, but not with TRG. However, no such association was found in post-CRT samples. Discordance of driver mutation status was found between pre- and post-CRT samples. In tumor mutational burden analysis, higher number of SNVs or indels was associated with worse treatment outcomes. Six single-base substitution (SBS) signatures identified were SBS1, SBS30, SBS29, SBS49, SBS3, and SBS44. The MATH score decreased after CRT on paired analysis. Less than half of CNAs frequent in post-CRT samples were present in pre-CRT samples.

conclusionPre- and post-CRT samples showed different genomic landscape. Potential genetic biomarkers of pre-CRT samples found in the current analysis call for external validation.

Indexed as

AdenocarcinomaRectal NeoplasmsBiomarkers, TumorGenomicsHumansNeoadjuvant TherapyTreatment OutcomeBiomarkers, Tumorneoadjuvant chemoradiationrectal cancerwhole-exome sequencing

Identifiers

PMID37260182
PMCPMC10417181
OpenAlexW4378952071

What OpenQuestion holds

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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.