Evidence map›Paper›PMID 37459099›Full record

Observational studyJAMA network open2023

First-Line Genomic Profiling in Previously Untreated Advanced Solid Tumors for Identification of Targeted Therapy Opportunities.

Junichi Matsubara, Kumi Mukai, Tomohiro Kondo, Masahiro Yoshioka, Hidenori Kage, Katsutoshi Oda, Ryo Kudo, Sadakatsu Ikeda, Hiromichi Ebi, Kei Muro and 4 more

Abstract readObservational StudyMulticenter Study
In one paragraph

Observational study in JAMA network open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing 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

37 citing papers in PubMed.

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  12. Identification of Clinically Relevant Genes Using Machine Learning Techniques.Methods in molecular biology (Clifton, N.J.) · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors.

Junichi MatsubaraDepartment of Clinical Oncology, Kyoto University Hospital, Kyoto, Japan.
Kumi MukaiDepartment of Clinical Oncology, Kyoto University Hospital, Kyoto, Japan.
Tomohiro KondoDepartment of Clinical Oncology, Kyoto University Hospital, Kyoto, Japan.
Masahiro YoshiokaDepartment of Clinical Oncology, Kyoto University Hospital, Kyoto, Japan.
Hidenori KageDepartment of Clinical Genomics, The University of Tokyo Hospital, Tokyo, Japan.
Katsutoshi OdaDepartment of Clinical Genomics, The University of Tokyo Hospital, Tokyo, Japan.
Ryo KudoDepartment of Precision Cancer Medicine, Tokyo Medical and Dental University Hospital, Tokyo, Japan.
Sadakatsu IkedaDepartment of Precision Cancer Medicine, Tokyo Medical and Dental University Hospital, Tokyo, Japan.
Hiromichi EbiDivision of Molecular Therapeutics, Aichi Cancer Center Research Institute, Nagoya, Japan.
Kei MuroDepartment of Clinical Oncology, Aichi Cancer Center, Nagoya, Japan.
Ryuji HayashiDepartment of Clinical Oncology, Toyama University Hospital, Toyama, Japan.
Nahomi TokudomeInternal Medicine III, Wakayama Medical University, Wakayama, Japan.
Nobuyuki YamamotoInternal Medicine III, Wakayama Medical University, Wakayama, Japan.
Manabu MutoDepartment of Clinical Oncology, Kyoto University Hospital, Kyoto, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

importancePrecision oncology using comprehensive genomic profiling (CGP) by next-generation sequencing is aimed at companion diagnosis and genomic profiling. The clinical utility of CGP before the standard of care (SOC) is still not resolved, and more evidence is needed.

objectiveTo investigate the clinical utility of next-generation CGP (FoundationOne CDx [F1CDx]) in patients with previously untreated metastatic or recurrent solid tumors. DESIGN, Setting, and Participants: This multicenter, prospective, observational cohort study enrolled patients with previously untreated advanced solid tumors between May 18, 2021, and February 16, 2022, with follow-up through August 16, 2022. The study was conducted at 6 hospitals in Japan. Eligible patients were aged 20 years or older and had Eastern Cooperative Oncology Group performance status of 0 to 1 with previously untreated metastatic or recurrent cancers in the gastrointestinal or biliary tract; pancreas, lung, breast, uterus, or ovary; and malignant melanoma. EXPOSURE: Comprehensive genomic profiling testing before SOC for advanced solid tumors. MAIN OUTCOMES AND MEASURES: Proportion of patients with actionable or druggable genomic alterations and molecular-based recommended therapy (MBRT).

resultsA total of 183 patients met the inclusion criteria and 180 patients (92 men [51.1%]) with a median age of 64 years (range, 23-88 years) subsequently underwent CGP (lung [n = 28], colon/small intestine [n = 27], pancreas [n = 27], breast [n = 25], biliary tract [n = 20], gastric [n = 19], uterus [n = 12], esophagus [n = 10], ovary [n = 6], and skin melanoma [n = 6]). Data from 172 patients were available for end point analyses. Actionable alterations were found in 172 patients (100.0%; 95% CI, 97.9%-100.0%) and druggable alternations were identified in 109 patients (63.4%; 95% CI, 55.7%-70.6%). The molecular tumor board identified MBRT for 105 patients (61.0%; 95% CI, 53.3%-68.4%). Genomic alterations included in the companion diagnostics list of the CGP test were found in 49 patients (28.5%; 95% CI, 21.9%-35.9%) in a tumor-agnostic setting. After a median follow-up of 7.9 months (range, 0.5-13.2 months), 34 patients (19.8%; 95% CI, 14.1%-26.5%) received MBRT. CONCLUSIONS AND RELEVANCE: The findings of this study suggest that CGP testing before SOC for patients with advanced solid tumors may be clinically beneficial to guide the subsequent anticancer therapies, including molecularly matched treatments.

Indexed as

MelanomaPrecision MedicineAdultAgedAged, 80 and overCutaneous Malignant MelanomaFemaleGenomicsHumansMaleMiddle AgedMutationProspective StudiesRecurrenceYoung Adult

Identifiers

PMID37459099
PMCPMC10352863

What OpenQuestion holds

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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.