Evidence map›Paper›PMID 33717225›Full record

ArticleTherapeutic advances in medical oncology2021

Profiling of circulating tumor DNA and tumor tissue for treatment selection in patients with advanced and refractory carcinoma: a prospective, two-stage phase II Individualized Cancer Treatment trial.

Jakob M Riedl, Samantha O Hasenleithner, Gudrun Pregartner, Lukas Scheipner, Florian Posch, Karin Groller, Karl Kashofer, Stephan W Jahn, Thomas Bauernhofer, Martin Pichler and 6 more

Abstract read
In one paragraph

Article in Therapeutic advances in medical oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Molecular diagnostics tailoring personalized cancer therapy-an oncologist's view.Virchows Archiv : an international journal of pathology · 2024
    Review
  5. Article
  6. 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

16 authors.

Jakob M RiedlDivision of Oncology, Department of Internal Medicine, Medical University of Graz, Graz, Austria.
Samantha O HasenleithnerInstitute of Human Genetics, Diagnostic and Research Center for Molecular BioMedicine, Medical University of Graz, Graz, Austria.ORCID https://orcid.org/0000-0002-9401-5224
Gudrun PregartnerInstitute for Medical Informatics, Statistics and Documentation, Medical University of Graz, Graz, Austria.
Lukas ScheipnerDivision of Oncology, Department of Internal Medicine, Medical University of Graz, Graz, Austria.
Florian PoschDivision of Oncology, Department of Internal Medicine, Medical University of Graz, Graz, Austria.
Karin GrollerDivision of Oncology, Department of Internal Medicine, Medical University of Graz, Graz, Austria.
Karl KashoferInstitute of Pathology, Diagnostic and Research Center for Molecular BioMedicine, Medical University of Graz, Graz, Austria.
Stephan W JahnInstitute of Pathology, Diagnostic and Research Center for Molecular BioMedicine, Medical University of Graz, Graz, Austria.
Thomas BauernhoferDivision of Oncology, Department of Internal Medicine, Medical University of Graz, Graz, Austria.
Martin PichlerDivision of Oncology, Department of Internal Medicine, Medical University of Graz, Graz, Austria.
Herbert StögerDivision of Oncology, Department of Internal Medicine, Medical University of Graz, Graz, Austria.
Andrea BergholdInstitute for Medical Informatics, Statistics and Documentation, Medical University of Graz, Graz, Austria.
Gerald HoeflerInstitute of Pathology, Diagnostic and Research Center for Molecular BioMedicine, Medical University of Graz, Graz, Austria.
Michael R SpeicherInstitute of Human Genetics, Diagnostic and Research Center for Molecular BioMedicine, Medical University of Graz, Graz, Austria.
Ellen HeitzerDiagnostic and Research Institute of Human Genetics, Diagnostic and Research Center for Molecular BioMedicine, Medical University of Graz, Auenbruggerplatz 2, Graz 8036, Austria.
Armin GergerDivision of Oncology, Department of Internal Medicine, Medical University of Graz, Graz, Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMolecular profiling (MP) represents an opportunity to match patients to a targeted therapy and when tumor tissue is unavailable, circulating tumor deoxyribonucleic acid (ctDNA) can be harnessed as a non-invasive analyte for this purpose. We evaluated the success of a targeted therapy selected by profiling of ctDNA and tissue in patients with advanced and refractory carcinoma. PATIENTS AND

methodsA blood draw as well as an optional tissue biopsy were obtained for MP. Whole-genome sequencing and a cancer hotspot panel were performed, and publicly available databases were used to match the molecular profile to targeted treatments. The primary endpoint was the progression-free survival (PFS) ratio (PFS on MP-guided therapy/PFS on the last evidence-based therapy), whereas the success of the targeted therapy was defined as a PFS ratio ⩾1.2. To test the impact of molecular profile-treatment matching strategies, we retrospectively analyzed selected cases

resultsInterim analysis of 24 patients yielded informative results from 20 patients (83%). A potential tumor-specific drug could be matched in 11 patients (46%) and eight (33%) received a matched treatment. Median PFS in the matched treatment group was 61.5 days [interquartile range (IQR) 49.8-71.0] compared with 81.5 days (IQR 68.5-117.8) for the last evidence-based treatment, resulting in a median PFS ratio of 0.7 (IQR 0.6-0.9). Hence, as no patient experienced a PFS ratio ⩾1.2, the study was terminated. Except for one case, the CureMatch analysis identified either a two-drug or three-drug combination option.

conclusionsOur study employed a histotype-agnostic approach to harness molecular profiling data from both ctDNA and metastatic tumor tissue. The outcome results indicate that more innovative approaches to study design and matching algorithms are necessary to achieve improved patient outcomes.

Indexed as

circulating tumor DNAmolecular profilingprogression-free survival ratiorefractory cancer

Identifiers

PMID33717225
PMCPMC7923987

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.