Evidence map›Paper›PMID 32045431›Full record

ArticlePloS one2020

Precision medicine and actionable alterations in lung cancer: A single institution experience.

Isa Mambetsariev, Yingyu Wang, Chen Chen, Sorena Nadaf, Rebecca Pharaon, Jeremy Fricke, Idoroenyi Amanam, Arya Amini, Andrea Bild, Peiguo Chu and 14 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.9field-weighted citation impact, top 23% 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.

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

7 citing papers in PubMed, 9 citations in OpenAlex.

  1. Current paradigm of EGFRMed (New York, N.Y.) · 2025
    Review
  2. Review
  3. Article
  4. Review
  5. The Association between Polluted Neighborhoods andCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2021
    Article
  6. Review
  7. 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

24 authors at 3 institutions in 1 country.

Isa MambetsarievDepartment of Medical Oncology and Therapeutics Research, City of Hope, Duarte, California, United States of America.
Yingyu WangCenter for Informatics, City of Hope, Duarte, California, United States of America.
Chen ChenCenter for Informatics, City of Hope, Duarte, California, United States of America.
Sorena NadafCenter for Informatics, City of Hope, Duarte, California, United States of America.
Rebecca PharaonDepartment of Medical Oncology and Therapeutics Research, City of Hope, Duarte, California, United States of America.ORCID 0000-0003-0618-590X
Jeremy FrickeDepartment of Medical Oncology and Therapeutics Research, City of Hope, Duarte, California, United States of America.
Idoroenyi AmanamDepartment of Medical Oncology and Therapeutics Research, City of Hope, Duarte, California, United States of America.
Arya AminiDepartment of Radiation Oncology, City of Hope, Duarte, California, United States of America.
Andrea BildDepartment of Medical Oncology and Therapeutics Research, City of Hope, Duarte, California, United States of America.
Peiguo ChuDepartment of Pathology, City of Hope, Duarte, California, United States of America.
Loretta ErhunmwunseeDepartment of Thoracic Surgery, City of Hope, Duarte, California, United States of America.
Jae KimDepartment of Thoracic Surgery, City of Hope, Duarte, California, United States of America.
Janet MunuCenter for Informatics, City of Hope, Duarte, California, United States of America.
Raju PillaiDepartment of Pathology, City of Hope, Duarte, California, United States of America.
Dan RazDepartment of Thoracic Surgery, City of Hope, Duarte, California, United States of America.
Sagus SampathDepartment of Radiation Oncology, City of Hope, Duarte, California, United States of America.
Lalit VoraDepartment of Diagnostic Radiology, City of Hope, Duarte, California, United States of America.
Fang QiuDepartment of Biostatistics, University of Nebraska Medical Center, Omaha, Nebraska, United States of America.
Lynette SmithDepartment of Biostatistics, University of Nebraska Medical Center, Omaha, Nebraska, United States of America.
Surinder K BatraDepartment of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, Nebraska, United States of America.
Erminia MassarelliDepartment of Medical Oncology and Therapeutics Research, City of Hope, Duarte, California, United States of America.ORCID 0000-0001-7798-7286
Marianna KoczywasDepartment of Medical Oncology and Therapeutics Research, City of Hope, Duarte, California, United States of America.
Karen ReckampDepartment of Medical Oncology and Therapeutics Research, City of Hope, Duarte, California, United States of America.
Ravi SalgiaDepartment of Medical Oncology and Therapeutics Research, City of Hope, Duarte, California, United States of America.ORCID 0000-0001-9643-7626
City of Hope · USCity Of Hope National Medical Center · USUniversity of Nebraska Medical Center · US

Funding

Transgenic Mouse FacilityP30CA033572 · NCI · CITY OF HOPE/BECKMAN RESEARCH INSTITUTE · PI STANLEY R. HAMILTON · 1985 to 2026
$86.3M
Project 2: Targeting Cooperative Phenotypes Common in Spatial HeterogeneityU54CA209978 · NCI · UNIVERSITY OF UTAH · PI BILD, ANDREA HOPE · 2017 to 2021
$10.5M
Novel approach to attenuate small cell lung cancer growth and metastasisR01CA218545 · NCI · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI NASSER, MOHD WASIM · 2018 to 2022
$2.6M
NCI NIH HHS P30 CA033572NCI NIH HHS R01 CA218545NCI NIH HHS U54 CA209978
6 · The paper itself

Abstract

objectivesOncology has become more reliant on new testing methods and a greater use of electronic medical records, which provide a plethora of information available to physicians and researchers. However, to take advantage of vital clinical and research data for precision medicine, we must initially make an effort to create an infrastructure for the collection, storage, and utilization of this information with uniquely designed disease-specific registries that could support the collection of a large number of patients. MATERIALS AND

methodsIn this study, we perform an in-depth analysis of a series of lung adenocarcinoma patients (n = 415) with genomic and clinical data in a recently created thoracic patient registry.

resultsOf the 415 patients with lung adenocarcinoma, 59% (n = 245) were female; the median age was 64 (range, 22-92) years with a median OS of 33.29 months (95% CI, 29.77-39.48). The most common actionable alterations were identified in EGFR (n = 177/415 [42.7%]), ALK (n = 28/377 [7.4%]), and BRAF V600E (n = 7/288 [2.4%]). There was also a discernible difference in survival for 222 patients, who had an actionable alteration, with a median OS of 39.8 months as compared to 193 wild-type patients with a median OS of 26.0 months (P<0.001). We identified an unprecedented number of actionable alterations [53.5% (222/415)], including distinct individual alteration rates, as compared with 15.0% and 22.3% in TCGA and GENIE respectively.

conclusionThe use of patient registries, focused genomic panels and the appropriate use of clinical guidelines in community and academic settings may influence cohort selection for clinical trials and improve survival outcomes.

Indexed as

Precision MedicineAdenocarcinomaAdultAgedAged, 80 and overAnaplastic Lymphoma KinaseErbB ReceptorsFemaleGenetic VariationHumansKaplan-Meier EstimateLung NeoplasmsMaleMiddle AgedProportional Hazards ModelsProto-Oncogene Proteins B-rafALK protein, humanAnaplastic Lymphoma KinaseBRAF protein, humanEGFR protein, humanErbB ReceptorsProto-Oncogene Proteins B-raf

Identifiers

PMID32045431
PMCPMC7012442
OpenAlexW3006504432

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.