Evidence map›Paper›PMID 32259781›Full record

ArticleJournal of the National Comprehensive Cancer Network : JNCCN2020

Tumor Mutation Burden and Depression in Lung Cancer: Association With Inflammation.

Daniel C McFarland, Devika R Jutagir, Andrew H Miller, William Breitbart, Christian Nelson, Barry Rosenfeld

Open access · bronzeAbstract read
In one paragraph

Article in Journal of the National Comprehensive Cancer Network : JNCCN, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 3 pooled it
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

22 citing papers in PubMed, 3 syntheses or guidelines pooled it, 29 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Brain Metabolic Activity Measured by [Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. 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

6 authors at 2 institutions in 1 country.

Daniel C McFarlandDepartment of Psychiatry and Behavioral Sciences, Memorial Sloan Kettering Cancer Center, New York, New York.
Devika R JutagirDepartment of Psychiatry and Behavioral Sciences, Memorial Sloan Kettering Cancer Center, New York, New York.
Andrew H MillerDepartment of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, Georgia; and.ORCID 0000-0001-8260-7997
William BreitbartDepartment of Psychiatry and Behavioral Sciences, Memorial Sloan Kettering Cancer Center, New York, New York.
Christian NelsonDepartment of Psychiatry and Behavioral Sciences, Memorial Sloan Kettering Cancer Center, New York, New York.
Barry RosenfeldDepartment of Psychology, Fordham University, Bronx, New York.ORCID 0000-0003-1399-2777
Memorial Sloan Kettering Cancer Center · USEmory University · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
Psychosocial Palliative & Community Research in CancerT32CA009461 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI JENNIFER L HAY, Jamie S. Ostroff · 1985 to 2026
$10.1M
NCI NIH HHS L30 CA220778NCI NIH HHS P30 CA008748NCI NIH HHS T32 CA009461
6 · The paper itself

Abstract

backgroundPatients with lung cancer with greater systemic inflammation have higher rates of depression. Tumor mutation burden (TMB) predicts immunotherapy response in patients with lung cancer and is associated with intratumoral inflammation, which may contribute to systemic inflammation and depression. This study evaluated whether higher TMB was associated with increased depression and systemic inflammation in patients with lung cancer. PATIENTS AND

methodsPatients with metastatic lung cancers were evaluated for depression severity using the Hospital Anxiety and Depression Scale. TMB was measured using the Memorial Sloan Kettering-Integrated Mutation Profiling of Actionable Cancer Targets. Inflammation was evaluated using C-reactive protein (CRP) level and neutrophil-to-lymphocyte ratio (NLR).

resultsA total of 96 patients with adequate TMB testing were evaluated. The average number of mutations (TMB) was 10.8 (SD, 10.9). A total of 19% of patients endorsed clinically significant depression symptoms. TMB was significantly correlated with depression severity (r = 0.34; P=.001) and NLR (r = 0.37; P=.002) but not CRP level (r = 0.19; P=.07). TMB was also higher in patients receiving chemotherapy (mean, 12.0) and immunotherapy (mean, 14.4) versus targeted therapy (mean, 4.8). A multivariate model found that TMB (β = 0.30; P=.01) and CRP level (β = 0.31; P=.01) were independently associated with depression; there was no significant interaction effect of TMB × CRP and depression. A similar multivariate model showed no independent effect for NLR and depression (β = 0.16; P=.17) after accounting for TMB.

conclusionsThese data provide evidence for biologic depression risk in patients with lung cancer who have high levels of TMB. The underlying mechanism of the association is not clearly related to inflammation but warrants further analysis to broadly elucidate the mechanism of biologically derived depression in cancer.

Indexed as

MutationAgedAnxietyBiomarkers, TumorDepressionDisease SusceptibilityFemaleHumansInflammationLung NeoplasmsMaleMiddle AgedNeoplasm StagingRisk AssessmentRisk FactorsBiomarkers, Tumor

Identifiers

PMID32259781
PMCPMC7327956
OpenAlexW3015100275

What OpenQuestion holds

Textmetadata
LicenceTDM
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.