Evidence map›Paper›PMID 38581534›Full record

Trial reportBreast cancer research and treatment2024

Circulating tumour DNA dynamics during alternating chemotherapy and hormonal therapy in metastatic breast cancer: the ALERT study.

Rebecca C Allsopp, Qi Guo, Karen Page, Shradha Bhagani, Anna Kasim, Philip Badman, Laura Kenny, Justin Stebbing, Jacqueline A Shaw

Registry-linked trialOpen access · hybridAbstract readClinical Trial, Phase II
In one paragraph

Trial report in Breast cancer research and treatment, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02681523 (ALERT), which is not on this map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.4field-weighted citation impact, top 19% 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.

NCT02681523 phase2terminatednot on this map

ALERT: A Phase II Study of Alternating Eribulin and Hormonal Therapy in Pre-treated ER+ve Breast Cancer.

TypeinterventionalSponsorImperial College LondonRan2015 to 2018Enrolled8ConditionsBreast CancerArmsEribulin
3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Review
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

9 authors at 2 institutions in 1 country.

Rebecca C AllsoppLeicester Cancer Research Centre, Department of Genetics and Genome Biology, University of Leicester, Leicester Royal Infirmary, Robert Kilpatrick Clinical Sciences Building, Leicester, LE2 7LX, UK.
Qi GuoLeicester Cancer Research Centre, Department of Genetics and Genome Biology, University of Leicester, Leicester Royal Infirmary, Robert Kilpatrick Clinical Sciences Building, Leicester, LE2 7LX, UK.
Karen PageLeicester Cancer Research Centre, Department of Genetics and Genome Biology, University of Leicester, Leicester Royal Infirmary, Robert Kilpatrick Clinical Sciences Building, Leicester, LE2 7LX, UK.
Shradha BhaganiLeicester Cancer Research Centre, Department of Genetics and Genome Biology, University of Leicester, Leicester Royal Infirmary, Robert Kilpatrick Clinical Sciences Building, Leicester, LE2 7LX, UK.
Anna KasimDepartment of Surgery and Cancer, Imperial College, Hammersmith Campus, Du Cane Road, London, W12 0NN, UK.
Philip BadmanDepartment of Surgery and Cancer, Imperial College, Hammersmith Campus, Du Cane Road, London, W12 0NN, UK.
Laura KennyDepartment of Surgery and Cancer, Imperial College, Hammersmith Campus, Du Cane Road, London, W12 0NN, UK.
Justin StebbingDepartment of Surgery and Cancer, Imperial College, Hammersmith Campus, Du Cane Road, London, W12 0NN, UK. j.stebbing@imperial.ac.uk.ORCID http://orcid.org/0000-0002-1117-6947
Jacqueline A ShawLeicester Cancer Research Centre, Department of Genetics and Genome Biology, University of Leicester, Leicester Royal Infirmary, Robert Kilpatrick Clinical Sciences Building, Leicester, LE2 7LX, UK.
University of Leicester · GBHammersmith Hospital · GB

Funding

Cancer Research UK C14315/A23464
6 · The paper itself

Abstract

purposeAlthough changes in circulating tumour DNA (ctDNA) in breast cancer are well described, the kinetics of their fluctuations has not been described over short timescales. We investigated ctDNA dynamics during alternating cycles of chemotherapy and hormonal treatment in pre-treated patients with oestrogen receptor-positive metastatic breast cancer.

methodsPatients received alternating, 9-week cycles of eribulin and aromatase inhibitors (AIs). The clinical primary endpoint, progression-free survival (PFS), was monitored at 3, 6 and 9 months; secondary endpoints, clinical benefit rate (CBR), safety and tolerability profiles, were also assessed. Importantly, ctDNA fluctuations were monitored using the Oncomine™ Breast cfDNA assay to test whether biomarkers may change rapidly between chemotherapy and aromatase inhibitor (AI) treatment in the setting of advanced breast cancer, potentially reflecting disease dynamics.

resultsThe median PFS was 202 days (95% CI: 135-undefined) and 235 days (95% CI: 235-undefined) at 6 and 9 months, respectively, with a 50% CBR at both 6 and 9 months. Dynamic changes in ctDNA were observed in short timescales between chemotherapy and AI treatment and support the clinical benefit (CB) seen in individual patients and, critically, appear informative of acquired resistance in real time.

conclusionChanges in ctDNA can occur rapidly and reflect changes in patients' clinical tumour responses (NCT02681523).

Indexed as

Antineoplastic Combined Chemotherapy ProtocolsAromatase InhibitorsBreast NeoplasmsCirculating Tumor DNAAdultAgedBiomarkers, TumorFemaleFuransHumansKetonesMiddle AgedNeoplasm MetastasisPolyether PolyketidesTreatment OutcomeAromatase InhibitorsBiomarkers, TumorCirculating Tumor DNAeribulinFuransKetonesPolyether PolyketidesBreast cancerCirculating tumour DNALiquid biopsyOncomine™ Breast cfDNA Assay

Identifiers

PMID38581534
PMCPMC11182849
OpenAlexW4394012457

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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.