Evidence map›Paper›PMID 35583261›Full record

ArticleJournal of the National Cancer Institute2022

The Molecular Landscape of Pancreatobiliary Cancers for Novel Targeted Therapies From Real-World Genomic Profiling.

Kumiko Umemoto, Hiroyuki Yamamoto, Ritsuko Oikawa, Hiroyuki Takeda, Ayako Doi, Yoshiki Horie, Hiroyuki Arai, Takashi Ogura, Takuro Mizukami, Naoki Izawa and 3 more

Open access · bronzeAbstract read
In one paragraph

Article in Journal of the National Cancer Institute, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.6field-weighted citation impact, top 8% 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

20 citing papers in PubMed, 27 citations in OpenAlex.

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  15. An approach for improvement of the accuracy of cancer gene panel testing.International journal of clinical oncology · 2024
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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

13 authors at 2 institutions in 1 country.

Kumiko UmemotoDepartment of Clinical Oncology, St. Marianna University School of Medicine, Kawasaki, Japan.ORCID 0000-0001-8901-7332
Hiroyuki YamamotoDepartment of Bioinformatics, St. Marianna University Graduate School of Medicine, Kawasaki, Japan.
Ritsuko OikawaDivision of Gastroenterology, Department of Internal Medicine, St. Marianna University School of Medicine, Kawasaki, Japan.
Hiroyuki TakedaDepartment of Clinical Oncology, St. Marianna University School of Medicine, Kawasaki, Japan.
Ayako DoiDepartment of Clinical Oncology, St. Marianna University School of Medicine, Kawasaki, Japan.
Yoshiki HorieDepartment of Clinical Oncology, St. Marianna University School of Medicine, Kawasaki, Japan.
Hiroyuki AraiDepartment of Clinical Oncology, St. Marianna University School of Medicine, Kawasaki, Japan.
Takashi OguraDepartment of Clinical Oncology, St. Marianna University School of Medicine, Kawasaki, Japan.
Takuro MizukamiDepartment of Clinical Oncology, St. Marianna University School of Medicine, Kawasaki, Japan.
Naoki IzawaDepartment of Clinical Oncology, St. Marianna University School of Medicine, Kawasaki, Japan.
Jay A MooreCancer Genomics Research, Foundation Medicine, Cambridge, MA, USA.ORCID 0000-0003-1826-3274
Ethan S SokolCancer Genomics Research, Foundation Medicine, Cambridge, MA, USA.
Yu SunakawaDepartment of Clinical Oncology, St. Marianna University School of Medicine, Kawasaki, Japan.ORCID 0000-0002-0163-7543
St. Marianna University School of Medicine · JPFoundation Medicine (United States)

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChemotherapies have limited efficacy in pancreatic cancer (PC) and biliary tract cancer (BTC), underscoring the need for new regimens. Recently, tumor-agnostic approaches have been developed for some targeted therapies in advanced solid tumors; however, the frequency of alterations by clinical and genomic background is unclear in PC and BTC.

methodsTo assess the frequencies of druggable gene alterations and investigate new potential therapeutic targetable genomic alterations, advanced PC and BTC patients were tested with comprehensive genomic profiling at Foundation Medicine during the course of clinical care.

resultsA total of 16 913 PC patients and 3031 BTC patients were available for analyses, and frequencies of genomic alterations were stratified by age (≥40 years or <40 years), microsatellite instability status, tumor mutational burden status (high ≥10 or low <10 Muts/Mb), and select genomic alterations. Alterations in BRCA2, BRAF, ERBB2, CDK12, PIK3CA, FGFR2, EGFR, and other potential targets were seen across cohorts, with enrichment observed within particular subsets such as in PC patients lacking a KRAS mutation. In BTC patients, the rate of ERBB2 amplification was statistically significantly higher in the tumor mutational burden-high population (23.3% vs 13.7%). Interestingly, CDK12 rearrangement was observed in BTC patients with ERBB2 amplification tumors. In patients younger than 40 years, FGFR2 rearrangement (4%) was observed in PC: GATA6 amplification (11.1%) and rearrangement of BRAF (2.8%)FGFR2 (5.6%) was observed in BTC patients.

conclusionsWe identified an appreciable frequency of immunotherapy biomarkers and targetable gene alterations in both PC and BTC, with notable frequencies in PC samples lacking KRAS mutations and children or adolescent and young adult populations, that should encourage comprehensive genomic profiling testing.

Indexed as

Gastrointestinal NeoplasmsProto-Oncogene Proteins B-rafAdolescentAdultBiomarkers, TumorChildGenomicsHumansMutationPancreatic NeoplasmsProto-Oncogene Proteins p21(ras)Young AdultBiomarkers, TumorProto-Oncogene Proteins B-rafProto-Oncogene Proteins p21(ras)

Identifiers

PMID35583261
PMCPMC9468278
OpenAlexW4280528671

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.