Evidence map›Paper›PMID 31794076›Full record

ArticleCancer2020

Targeting fusions for improved outcomes in oncology treatment.

Mina Nikanjam, Ryosuke Okamura, Donald A Barkauskas, Razelle Kurzrock

Abstract read
In one paragraph

Article in Cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

32 citing papers in PubMed.

  1. Claudin 18.2 Targeting: A Pan-Cancer Perspective.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026
    Review
  2. Article
  3. Gene fusions in melanocytic lesions: an updated comprehensive review.Journal of pathology and translational medicine · 2026
    Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. How Do Cancer Cells Fuse and Why?Advances in experimental medicine and biology · 2026
    Review
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Tumour-agnostic kinase inhibitors.Nature reviews. Drug discovery · 2025
    Review
  17. Article
  18. Oncogenic gene fusions in cancer: from biology to therapy.Signal transduction and targeted therapy · 2025
    Review
  19. Article
  20. 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

4 authors.

Mina NikanjamDivision of Hematology and Oncology, Center for Personalized Cancer Therapy, Moores Cancer Center, University of California at San Diego, San Diego, California.ORCID 0000-0001-7052-6348
Ryosuke OkamuraDivision of Hematology and Oncology, Center for Personalized Cancer Therapy, Moores Cancer Center, University of California at San Diego, San Diego, California.ORCID 0000-0001-7352-8621
Donald A BarkauskasBiostatistics Division, Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California.
Razelle KurzrockDivision of Hematology and Oncology, Center for Personalized Cancer Therapy, Moores Cancer Center, University of California at San Diego, San Diego, California.ORCID 0000-0003-4110-1214

Funding

VIRAL MALIGNANCYP30CA023100 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI DIANE M SIMEONE · 1985 to 2026
$124.9M
NCI NIH HHS P30 CA023100
6 · The paper itself

Abstract

backgroundFusions are increasingly pursued as oncology therapeutic targets. The current study evaluated differences in outcomes for fusion versus nonfusion targets.

methodsOutcomes were compared for patients with fusions versus those with other alterations for US Food and Drug Administration-approved single agents (from package inserts) and for patients treated at the University of California at San Diego.

resultsA total of 28 drugs approved by the US Food and Drug Administration (6189 patients) were included in the analysis. The median response rate was 68% versus 50% for fusions versus nonfusion matches (odds ratio [OR], 1.67; P < .0001); solid tumor therapies had an OR of 2.07 (P < .0001) and hematologic therapies had an OR of 3.35 (P < .0001) for fusion versus nonfusion targets. The University of California at San Diego analysis included 79 patients in whom fusions were treated of the 2455 patients screened. Patients matched to fusions were found to have a longer median progression-free survival (PFS) (11.6 months; 95% CI, 4.0-35.4 months) compared with those unmatched to fusions (4.9 months; 95% CI, 3.5-8.8 months) (P = .034). Patients with fusions matched to other alterations present in the tumor had a median PFS that was indistinguishable from that of those patients with fusions who were treated with unmatched therapy (4.0 months vs 5.0 months; P = .75).

conclusionsSignificantly higher response rates and a longer PFS were observed when targeting fusions compared with nonfusions. The observations reported in the current study suggest that fusions are important targets and that additional studies are needed to confirm that optimized therapy may require targeting fusions, even in the presence of other alterations.

Indexed as

Progression-Free SurvivalCaliforniaDrug ApprovalHematologic NeoplasmsHumansKaplan-Meier EstimateMolecular Targeted TherapyNeoplasmsOdds RatioOncogene Proteins, FusionTreatment OutcomeUnited StatesOncogene Proteins, Fusionfusionsmatched therapymolecular alterationprecision medicine

Identifiers

PMID31794076
PMCPMC7050395

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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 OpenQuestion graph.