Evidence map›Paper›PMID 39355617›Full record

ArticleFrontiers in endocrinology2024

Genomic signature for oligometastatic disease in non-small cell lung cancer patients with brain metastases.

Ariel R Choi, Ralph B D'Agostino, Michael K Farris, Mohammed Abdulhaleem, John C Hunting, Yuezhu Wang, Margaret R Smith, Jimmy Ruiz, Thomas W Lycan, W Jeffrey Petty and 9 more

Abstract read
In one paragraph

Article in Frontiers in endocrinology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

19 authors.

Ariel R ChoiDepartment of Radiation Oncology, Wake Forest School of Medicine, Winston-Salem, NC, United States.
Ralph B D'AgostinoDepartment of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, NC, United States.
Michael K FarrisDepartment of Radiation Oncology, Wake Forest School of Medicine, Winston-Salem, NC, United States.
Mohammed AbdulhaleemDepartment of Medicine (Hematology & Oncology), Wake Forest School of Medicine, Winston-Salem, NC, United States.
John C HuntingDepartment of Medicine (Hematology & Oncology), Wake Forest School of Medicine, Winston-Salem, NC, United States.
Yuezhu WangDepartment of Cancer Biology, Wake Forest School of Medicine, Winston-Salem, NC, United States.
Margaret R SmithDepartment of Cancer Biology, Wake Forest School of Medicine, Winston-Salem, NC, United States.
Jimmy RuizDepartment of Medicine (Hematology & Oncology), Wake Forest School of Medicine, Winston-Salem, NC, United States.
Thomas W LycanDepartment of Medicine (Hematology & Oncology), Wake Forest School of Medicine, Winston-Salem, NC, United States.
W Jeffrey PettyDepartment of Medicine (Hematology & Oncology), Wake Forest School of Medicine, Winston-Salem, NC, United States.
Christina K CramerDepartment of Radiation Oncology, Wake Forest School of Medicine, Winston-Salem, NC, United States.
Stephen B TatterDepartment of Neurosurgery, Wake Forest School of Medicine, Winston-Salem, NC, United States.
Adrian W LaxtonDepartment of Neurosurgery, Wake Forest School of Medicine, Winston-Salem, NC, United States.
Jaclyn J WhiteDepartment of Neurosurgery, Wake Forest School of Medicine, Winston-Salem, NC, United States.
Wencheng LiDepartment of Pathology, Wake Forest School of Medicine, Winston-Salem, NC, United States.
Jing SuDepartment of Biostatistics and Health Data Science, Indiana University School of Medicine, Indianapolis, IN, United States.
Christopher WhitlowDepartment of Radiology, Wake Forest School of Medicine, Winston-Salem, NC, United States.
Fei XingDepartment of Cancer Biology, Wake Forest School of Medicine, Winston-Salem, NC, United States.
Michael D ChanDepartment of Radiation Oncology, Wake Forest School of Medicine, Winston-Salem, NC, United States.

Funding

CTSA K12 Program at Wake ForestK12TR004931 · NCATS · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI Nicholette D. Allred · 2024 to 2026
$2.3M
NCATS NIH HHS K12 TR004931
6 · The paper itself

Abstract

Purpose/objectives: Biomarkers for extracranial oligometastatic disease remain elusive and few studies have attempted to correlate genomic data to the presence of true oligometastatic disease. Methods: Patients with non-small cell lung cancer (NSCLC) and brain metastases were identified in our departmental database. Electronic medical records were used to identify patients for whom liquid biopsy-based comprehensive genomic profiling (Guardant Health) was available. Extracranial oligometastatic disease was defined as patients having ≤5 non-brain metastases without diffuse involvement of a single organ. Widespread disease was any spread beyond oligometastatic. Fisher's exact tests were used to screen for mutations statistically associated (p<0.1) with either oligometastatic or widespread extracranial disease. A risk score for the likelihood of oligometastatic disease was generated and correlated to the likelihood of having oligometastatic disease vs widespread disease. For oligometastatic patients, a competing risk analysis was done to assess for cumulative incidence of oligometastatic progression. Cox regression was used to determine association between oligometastatic risk score and oligoprogression. Results: 130 patients met study criteria and were included in the analysis. 51 patients (39%) had extracranial oligometastatic disease. Genetic mutations included in the Guardant panel that were associated (p<0.1) with the presence of oligometastatic disease included ATM, JAK2, MAP2K2, and NTRK1, while ARID1A and CCNE1 were associated with widespread disease. Patients with a positive, neutral and negative risk score for oligometastatic disease had a 78%, 41% and 11.5% likelihood of having oligometastatic disease, respectively (p<0.0001). Overall survival for patients with positive, neutral and negative risk scores for oligometastatic disease was 86% vs 82% vs 64% at 6 months (p=0.2). Oligometastatic risk score was significantly associated with the likelihood of oligoprogression based on the Wald chi-square test. Patients with positive, neutral and negative risk scores for oligometastatic disease had a cumulative incidence of oligometastatic progression of 77% vs 35% vs 33% at 6 months (p=0.03). Conclusions: Elucidation of a genomic signature for extracranial oligometastatic disease derived from non-invasive liquid biopsy appears feasible for NSCLC patients. Patients with this signature exhibited higher rates of early oligoprogression. External validation could lead to a biomarker that has the potential to direct local therapies in oligometastatic patients.

Indexed as

Brain NeoplasmsCarcinoma, Non-Small-Cell LungLung NeoplasmsAdultAgedAged, 80 and overBiomarkers, TumorDisease ProgressionFemaleGenomicsHumansMaleMiddle AgedMutationPrognosisBiomarkers, Tumorbrain metastasesgenomic studymetastatic NSCLCNSCLC - lung adenocarcinoma - EGFR - ALK - BRAF - KRAS - RET - MET - PD-L1 - ROS1oligometastatic disease

Identifiers

PMID39355617
PMCPMC11443040

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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.