Evidence map›Paper›PMID 38812774›Full record

ArticleFrontiers in oncology2024

Molecular profiling of metastatic breast cancer and target-based therapeutic matching in an Asian tertiary phase I oncology unit.

Robert John Walsh, Rebecca Ong, Seng Wee Cheo, Peter Q J Low, Aishwarya Jayagopal, Matilda Lee, Natalie Ngoi, Samuel G Ow, Andrea L A Wong, Siew Eng Lim and 10 more

Abstract read
In one paragraph

Article in Frontiers in oncology, 2024. 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
–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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. 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

20 authors.

Robert John WalshDepartment of Haematology-Oncology, National University Cancer Institute, Singapore, National University Health System, Singapore, Singapore.
Rebecca OngYong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Seng Wee CheoDepartment of Haematology-Oncology, National University Cancer Institute, Singapore, National University Health System, Singapore, Singapore.
Peter Q J LowDepartment of Haematology-Oncology, National University Cancer Institute, Singapore, National University Health System, Singapore, Singapore.
Aishwarya JayagopalDepartment of Information Systems and Analytics, School of Computing, National University of Singapore, Singapore, Singapore.
Matilda LeeDepartment of Haematology-Oncology, National University Cancer Institute, Singapore, National University Health System, Singapore, Singapore.
Natalie NgoiDepartment of Haematology-Oncology, National University Cancer Institute, Singapore, National University Health System, Singapore, Singapore.
Samuel G OwDepartment of Haematology-Oncology, National University Cancer Institute, Singapore, National University Health System, Singapore, Singapore.
Andrea L A WongDepartment of Haematology-Oncology, National University Cancer Institute, Singapore, National University Health System, Singapore, Singapore.
Siew Eng LimDepartment of Haematology-Oncology, National University Cancer Institute, Singapore, National University Health System, Singapore, Singapore.
Yi Wan LimDepartment of Haematology-Oncology, National University Cancer Institute, Singapore, National University Health System, Singapore, Singapore.
Valerie HeongDepartment of Medical Oncology, Tan Tock Seng Hospital, Singapore, Singapore.
Raghav SundarDepartment of Haematology-Oncology, National University Cancer Institute, Singapore, National University Health System, Singapore, Singapore.
Ross A SooDepartment of Haematology-Oncology, National University Cancer Institute, Singapore, National University Health System, Singapore, Singapore.
Cheng Ean CheeDepartment of Haematology-Oncology, National University Cancer Institute, Singapore, National University Health System, Singapore, Singapore.
Wei Peng YongDepartment of Haematology-Oncology, National University Cancer Institute, Singapore, National University Health System, Singapore, Singapore.
Boon Cher GohDepartment of Haematology-Oncology, National University Cancer Institute, Singapore, National University Health System, Singapore, Singapore.
Soo Chin LeeDepartment of Haematology-Oncology, National University Cancer Institute, Singapore, National University Health System, Singapore, Singapore.
David S P TanDepartment of Haematology-Oncology, National University Cancer Institute, Singapore, National University Health System, Singapore, Singapore.
Joline S J LimDepartment of Haematology-Oncology, National University Cancer Institute, Singapore, National University Health System, Singapore, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Molecular profiling of metastatic breast cancer (MBC) through the widespread use of next-generation sequencing (NGS) has highlighted actionable mutations and driven trials of targeted therapy matched to tumour molecular profiles, with improved outcomes reported using such an approach. Here, we review NGS results and treatment outcomes for a cohort of Asian MBC patients in the phase I unit of a tertiary centre. Methods: Patients with MBC referred to a phase I unit underwent NGS via Ion AmpliSeq Cancer Hotspot v2 (ACH v2, 2014-2017) prior to institutional change to FoundationOne CDx (FM1; 2017-2022). Patients were counselled on findings and enrolled on matched therapeutic trials, where available. Outcomes for all subsequent treatment events were recorded to data cut-off on January 31, 2022. Results: A total of 215 patients were enrolled with successful NGS in 158 patients. The PI3K/AKT/PTEN pathway was the most altered with one or more of the pathway member genes Conclusions: Broad-panel NGS in MBC is feasible, allowing therapeutic matching, which was associated with improvements in PFS and OS.

Indexed as

breast cancermolecular profilingnext-generation sequencing (NGS)phase Iprecision oncology

Identifiers

PMID38812774
PMCPMC11133600

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.