Cited by 111Cancer Genomics and DiagnosticsLung Cancer Treatments and MutationsBRCA gene mutations in cancer

Clinical benefit of a precision medicine based approach for guiding treatment of refractory cancers

Open access
Radovich, Milan, Kiel, Patrick J., Nance, Stacy M., Niland, Erin E., Parsley, Megan E., Ferguson, Meagan E., Jiang, Guanglong, Ammakkanavar, Natraj R. +14 more·2016·Oncotarget

Abstract

// Milan Radovich 1,2,* , Patrick J. Kiel 1,2,* , Stacy M. Nance 1 , Erin E. Niland 1 , Megan E. Parsley 1 , Meagan E. Ferguson 1 , Guanglong Jiang 2 , Natraj R. Ammakkanavar 2 , Lawrence H. Einhorn 2 , Liang Cheng 2 , Mehdi Nassiri 2 , Darrell D. Davidson 2 , Daniel A. Rushing 2 , Patrick J. Loehrer 2 , Roberto Pili 2 , Nasser Hanna 2 , J. Thomas Callaghan 2 , Todd C. Skaar 2 , Paul R. Helft 2 , Safi Shahda 2 , Bert H. O’Neil 2 and Bryan P. Schneider 1,2 1 Indiana University Health Precision Genomics Program, Indianapolis, IN, USA 2 Indiana University Melvin and Bren Simon Cancer Center, Indianapolis, IN, USA * These authors have contributed equally to this work Correspondence to: Bryan P. Schneider, email: // Keywords : precision medicine, personalized medicine, genomics, next-generation sequencing Received : June 07, 2016 Accepted : June 09, 2016 Published : July 15, 2016 Abstract Patients and Methods: Patients with metastatic solid tumors who had progressed on at least one line of standard of care therapy were referred to the Indiana University Health Precision Genomics Program. Tumor samples were submitted for DNA & RNA next-generation sequencing, fluorescence in situ hybridization, and immunohistochemistry for actionable targets. A multi-disciplinary tumor board reviewed all results. For each patient, the ratio of progression-free survival (PFS) of the genomically guided line of therapy divided by the PFS of their prior line was calculated. Patients whose PFS ratio was ≥ 1.3 were deemed to have a meaningful improvement in PFS. Results: From April 2014–October 2015, 168 patients were evaluated and 101 patients achieved adequate clinical follow-up for analysis. 19 of 44 (43.2%) patients treated with genomically guided therapy attained a PFS ratio ≥ 1.3 vs . 3 of 57 (5.3%) treated with non-genomically guided therapy ( p < 0.0001). Similarly, overall PFS ratios (irrespective of cutoff) were higher for patients with genomically guided therapy vs non-genomically guided therapy ( p = 0.05). Further, patients treated with genomically guided therapy had a superior median PFS compared to those treated with non-genomically guided therapy (86 days vs . 49 days, p = 0.005, H.R. = 0.55, 95% C.I.:0.37-0.84). Conclusion: Patients with refractory metastatic cancer who receive genomically guided therapy have improved PFS ratios and longer median PFS compared to patients who do not receive genomically guided therapy.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.18632/oncotarget.10606

Cites

28 of 28 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Radovich, M., Kiel, P. J., Nance, S. M., Niland, E. E., Parsley, M. E., Ferguson, M. E., Jiang, G., Ammakkanavar, N. R., Einhorn, L. H., Cheng, L., Nassiri, M., Davidson, D. D., Rushing, D. A., Loehrer, P. J., Pili, R., Hanna, N., Callaghan, J. T., Skaar, T. C., Helft, P. R., Shahda, S., O’Neil, B. H., & Schneider, B. P.
Affiliations
  • Indiana University Health (US)
  • Indiana University Melvin and Bren Simon Cancer Center, Indianapolis, IN, USA
Corresponding author
  • Radovich, Milan
  • Kiel, Patrick J.
Venue
Oncotarget
Published
2016-07-15
Volume
7
Issue
35
Pages
56491-56500
ISSN
1949-2553 (ISSN-L)
OpenAlex
W2464234320
Cited by
111
References
28
Citations by year
2026: 6 · 2025: 11 · 2024: 11 · 2023: 9 · 2022: 11 · 2021: 11 · 2020: 15 · 2019: 11 · 2018: 11 · 2017: 13 · 2016: 2
FWCI
5.14
Type
journal article
Language
en
Open access
Licence
cc-by
Locations
  • Oncotarget (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • IUScholarWorks (Indiana University) (submittedVersion, cc-by)
Funders
Walther Cancer Foundation
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer Genomics and Diagnostics
  • Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Lung Cancer Treatments and Mutations
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › BRCA gene mutations in cancer
Keywords
precision medicine, refractory cancer, metastatic solid tumors, progression-free survival, actionable targets, next-generation sequencing, clinical benefit, targeted therapy, multidisciplinary cancer care, treatment selection decision-making, cost-effectiveness, quality of life, patient-reported outcomes, overall survival
MeSH terms
Aged, Antineoplastic Combined Chemotherapy Protocols, Breast Neoplasms, Female, Humans, Immunohistochemistry, Indiana, Male, Medical Oncology, Middle Aged, Neoplasm Metastasis, Neoplasms, Pancreatic Neoplasms, Research Design, Sarcoma, Soft Tissue Neoplasms, Universities, Colorectal Neoplasms, Treatment Outcome, In Situ Hybridization, Fluorescence, Disease-Free Survival, Genomics, Precision Medicine, High-Throughput Nucleotide Sequencing

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review