Evidence map›Paper›PMID 40700673›Full record

Observational studyJCO precision oncology2025

Personalized

Sangkyu Noh, Ashwyn K Sharma, Paul T Fanta, Shumei Kato, Razelle Kurzrock, Jason K Sicklick

Registry-linked trialAbstract readMulticenter StudyObservational Study
In one paragraph

Observational study in JCO precision oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02534675 (An Open Label Navigational Investigation of Molecular Profile-Related Evidence Determining Individualized Cancer Therapy for Patients With Incurable Malignancies and Poor Prognosis), which is not on this map. Not yet cited in PubMed.

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

NCT02534675 completednot on this map

An Open Label Navigational Investigation of Molecular Profile-Related Evidence Determining Individualized Cancer Therapy for Patients With Incurable Malignancies and Poor Prognosis

TypeobservationalSponsorUniversity of California, San DiegoRan2015 to 2022Enrolled506ConditionsCancer
3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Sangkyu NohDivision of Surgical Oncology, Department of Surgery, University of California San Diego, San Diego, CA.ORCID 0009-0009-2488-4940
Ashwyn K SharmaDivision of Surgical Oncology, Department of Surgery, University of California San Diego, San Diego, CA.ORCID 0000-0001-6583-8021
Paul T FantaMoores Cancer Center, University of California San Diego, La Jolla, CA.
Shumei KatoMoores Cancer Center, University of California San Diego, La Jolla, CA.ORCID 0000-0003-1193-1815
Razelle KurzrockMedical College of Wisconsin Cancer Center, Milwaukee, WI.ORCID 0000-0003-4110-1214
Jason K SicklickDivision of Surgical Oncology, Department of Surgery, University of California San Diego, San Diego, CA.ORCID 0000-0003-4403-0271

Funding

SWOG Network Group Operations Center of the NCTNU10CA180888 · NCI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI PRIMO N. LARA · 2014 to 2026
$152.1M
VIRAL MALIGNANCYP30CA023100 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Jesse Nodora · 1985 to 2026
$124.9M
Medical College of Wisconsin Lead Academic Participating Site RenewalUG1CA233198 · NCI · MEDICAL COLLEGE OF WISCONSIN · PI William H Bradley, Elizabeth M Gore · 2019 to 2026
$5.0M
Targeting Drug-Resistant Cancer Stem Cell Niches of Gastrointestinal Stromal TumorR01CA226803 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SICKLICK, JASON KEITH · 2019 to 2023
$2.1M
National Succinate Dehydrogenase-deficient GIST Translational Research and Clinical Trial ConsortiumU01CA278470 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI JOHN Walter GLOD, Jason Keith Sicklick · 2024 to 2026
$1.8M
Prognostic and Therapeutic Roles of Voltage Gated Potassium Channels in Managing KIT Mutant Gastrointestinal Stromal Tumors (GIST)R01CA292590 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Jason Keith Sicklick · 2025 to 2026
$1.3M
FDA HHS R01 FD006334NCI NIH HHS P30 CA023100NCI NIH HHS R01 CA226803NCI NIH HHS R01 CA292590NCI NIH HHS U01 CA278470NCI NIH HHS U10 CA180888NCI NIH HHS UG1 CA233198
6 · The paper itself

Abstract

purposeGastrointestinal stromal tumor (GIST) resistance to imatinib and other tyrosine kinase inhibitors poses an ongoing clinical challenge. We investigated molecularly matched combination therapies for treatment-refractory GIST, including drugs not previously combined in human studies.

methodsPatients of all ages with unresectable and/or metastatic GIST treated with combination therapies were included (February 13, 2015-December 31, 2022). These patients were discussed at molecular tumor board and enrolled in the prospective Investigation of Profile-Related Evidence Determining Individualized Cancer Therapy (I-PREDICT) study (ClinicalTrials.gov identifier: NCT02534675). Patient demographics, tumor next-generation sequencing (NGS), treatment responses, and survival outcomes were retrospectively analyzed.

resultsSix (1.6%) patients met the inclusion criteria. The median age at diagnosis was 59.5 years with the majority (4/6) of patients being male. NGS revealed median of six deleterious genomic alterations per patient excluding variants of unknown significance. Five (5/6) patients had

conclusionOur results demonstrate that a multitargeted, biomarker-matched combination approach can be safely administered to obtain disease control. Tailored combination therapies for advanced GIST with multiple genomic alterations warrant further investigation.

Indexed as

Antineoplastic Combined Chemotherapy ProtocolsGastrointestinal NeoplasmsGastrointestinal Stromal TumorsPrecision MedicineAdultAgedFemaleHigh-Throughput Nucleotide SequencingHumansImatinib MesylateMaleMiddle AgedProtein Kinase InhibitorsRetrospective StudiesImatinib MesylateProtein Kinase Inhibitors

Identifiers

PMID40700673
PMCPMC12313172

What OpenQuestion holds

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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.