Evidence map›Paper›PMID 34568058›Full record

ArticleFrontiers in oncology2021

A Phase I Trial of Dasatinib and Osimertinib in TKI Naïve Patients With Advanced EGFR-Mutant Non-Small-Cell Lung Cancer.

Chul Kim, Stephen V Liu, Jennifer Crawford, Tisdrey Torres, Vincent Chen, Jillian Thompson, Ming Tan, Giuseppe Esposito, Deepa S Subramaniam, Giuseppe Giaccone

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02954523 (Phase I/II Study of Dasatinib and Osimertinib), which is not on this map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
1.9field-weighted citation impact, top 13% 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.

NCT02954523 phase1 / phase2terminatednot on this map

Phase I/II Study of Dasatinib and Osimertinib (AZD9291) in Patients With Advanced Non-small Cell Lung Cancer With EGFR Mutations

TypeinterventionalSponsorChul KimRan2016 to 2023Enrolled10ConditionsEGFR Gene Mutation, Nonsmall Cell Lung CancerArmsDasatinib, Osimertinib
3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 27 citations in OpenAlex.

  1. Trial
  2. A Scalable and Robust Ensemble Deep Learning Method for Predicting Drug-Target Interactions.Interdisciplinary sciences, computational life sciences · 2026
    Article
  3. Review
  4. Tyrosine phosphoproteome profiling identifies cell-intrinsic signals limiting the efficacy of tyrosine kinase inhibitor therapies.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. A case of PhBMC medical genomics · 2024
    Article
  12. Review
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  15. Article
  16. Article
  17. Article
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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

10 authors at 2 institutions in 1 country.

Chul KimDepartment of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC, United States.
Stephen V LiuDepartment of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC, United States.
Jennifer CrawfordDepartment of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC, United States.
Tisdrey TorresDepartment of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC, United States.
Vincent ChenDepartment of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC, United States.
Jillian ThompsonDepartment of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC, United States.
Ming TanDepartment of Biostatistics, Bioinformatics & Biomathematics, Georgetown University, Washington, DC, United States.
Giuseppe EspositoDepartment of Radiology, Georgetown University Hospital, Washington, DC, United States.
Deepa S SubramaniamDepartment of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC, United States.
Giuseppe GiacconeDepartment of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC, United States.
Georgetown University · USGeorgetown University Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOsimertinib is an effective first-line therapy option for

methodThis is a single-arm phase I/II trial of osimertinib and dasatinib in TKI-naïve advanced

resultsTen patients (DL2: 3, DL1: 6, DL -1: 1) were enrolled. 3 (50%) of 6 patients at DL1 experienced a DLT (grade 3 headaches/body pain, neutropenia, rash, one each). Common treatment-related adverse events included pleural effusion (n=10), diarrhea (n=8), rash (n=7), transaminitis (n=7), thrombocytopenia (n=7), and neutropenia (n=7). While the MTD was not determined by protocol-defined DLT criteria, DL-2 was chosen as the RP2D, considering overall tolerability. Nine (90%) patients had a PR, including 1 unconfirmed PR. Median PFS was 19.4 months and median OS 36.1 months. The trial was closed to accrual prematurely due to slow accrual after the approval of osimertinib as first-line therapy.

conclusionsThe combination of dasatinib and osimertinib demonstrated anticancer activity. The treatment was limited by chronic toxicities mainly attributed to dasatinib. To improve the safety and tolerability of Src and EGFR co-inhibition, Src inhibitors with a more favorable safety profile should be utilized in future studies. CLINICAL

trial registrationhttps://clinicaltrials.gov/ct2/show/NCT02954523.

Indexed as

dasatinibEGFRlung cancerosimertinibSrc

Identifiers

PMID34568058
PMCPMC8457399
OpenAlexW3196321660

What OpenQuestion holds

Textmetadata
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.