Evidence map›Paper›PMID 40468525›Full record

ArticleActa oncologica (Stockholm, Sweden)2025

Feasibility and outcome of genomics-guided treatment selection in advanced cancer - the MEGALiT explorative clinical trial.

Lars Ny, Henrik Fagman, Johan Botling, Loviisa Mantovaara, Peter Asplund, Hannah Karlsson, Jennie Aust, Edvard Abel, Mats Hellström, Joakim Crona and 1 more

Abstract read
In one paragraph

Article in Acta oncologica (Stockholm, Sweden), 2025. 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. Article
  4. The promises of precision medicine - voices from the Nordics.Acta oncologica (Stockholm, Sweden) · 2025
    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

11 authors.

Lars NyInstitute of Clinical Sciences, Department of Oncology, University of Gothenburg, Gothenburg, Sweden, Department of Oncology, Sahlgrenska University Hospital, Gothenburg, Sweden.
Henrik FagmanDepartment of Clinical Pathology, Sahlgrenska University Hospital, Gothenburg, Sweden; Department of Laboratory Medicine, Institute of Biomedicine, Sahlgrenska Center for Cancer Research, University of Gothenburg, Gothenburg, Sweden.
Johan BotlingDepartment of Clinical Pathology, Sahlgrenska University Hospital, Gothenburg, Sweden; Department of Laboratory Medicine, Institute of Biomedicine, Sahlgrenska Center for Cancer Research, University of Gothenburg, Gothenburg, Sweden; Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.
Loviisa MantovaaraDepartment of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.
Peter AsplundDepartment of Blood and Tumor Diseases, section of Oncology, University Hospital, Uppsala, Sweden.
Hannah KarlssonDepartment of Blood and Tumor Diseases, section of Oncology, University Hospital, Uppsala, Sweden.
Jennie AustInstitute of Clinical Sciences, Department of Oncology, University of Gothenburg, Gothenburg, Sweden, Department of Oncology, Sahlgrenska University Hospital, Gothenburg, Sweden.
Edvard AbelInstitute of Clinical Sciences, Department of Oncology, University of Gothenburg, Gothenburg, Sweden, Department of Oncology, Sahlgrenska University Hospital, Gothenburg, Sweden.
Mats HellströmDepartment of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.
Joakim CronaDepartment of Medical Sciences, Uppsala University, Uppsala, Sweden.
Peter NygrenDepartment of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden. peter.nygren@igp.uu.se.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrecision cancer medicine (PCM) is key to advancing cancer treatment beyond the standard of care. We performed an explorative clinical trial, MEGALiT, to investigate the feasibility, safety, and clinical benefit of genomics-based PCM in advanced cancer.

methodsMEGALiT recruited adult patients with advanced solid tumors refractory to standard treatment. Tumor DNA from newly acquired biopsies or ctDNA were analyzed for alterations targetable with the PD-L1 inhibitor atezolizumab, the MEK inhibitor cobimetinib, the mTOR inhibitor everolimus, or the PARP-inhibitor niraparib. Any other 'in study' treatment was left to the discretion of the physician.

resultsOutcome data are reported for 153 patients. The median age was 65 years and the most common diagnoses were colorectal, prostate, and ovarian cancer. The median time from study inclusion to the Molecular Tumor Board was 35 days for tumor sampling by biopsy and 21 days by ctDNA. Of the 44 patients allocated to a study drug, 38 started treatment. The median follow-up was 1.9 years. Of the patients on a study drug and evaluable for tumor response, 6% (2/32) had partial remission, and 25% (8/32) had disease control at 16 weeks. Median overall survival for patients starting a study drug was longer, 7.4 months, compared to 2.7 months for the 61 untreated patients (HR 0.43; log-rank p < 0.0001), but shorter than for the 50 patients receiving treatment of physician's choice, 11.8 months (HR 0.55; log-rank p = 0.012). No significant procedure- or drug-related severe adverse events were observed.

interpretationGenomics-guided treatment selection in advanced cancer is feasible and safe. However, evidence of patient benefit warrants further investigation.

Indexed as

GenomicsNeoplasmsPrecision MedicineAdultAgedAged, 80 and overBiomarkers, TumorCirculating Tumor DNAFeasibility StudiesFemaleHumansMaleMiddle AgedTreatment OutcomeBiomarkers, TumorCirculating Tumor DNA

Identifiers

PMID40468525
PMCPMC12160592

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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 OpenQuestion graph.