Evidence map›Paper›PMID 39250241›Full record

ArticleCancer research2024

Targeting NTRK1 Enhances Immune Checkpoint Inhibitor Efficacy in NTRK1 Wild-Type Non-Small Cell Lung Cancer.

Margaret R Smith, Caroline B Dixon, Yuezhu Wang, Yin Liu, Ralph D'Agostino, Jimmy Ruiz, George Oliver, Lance D Miller, Umit Topaloglu, Michael D Chan and 10 more

Abstract read
In one paragraph

Article in Cancer research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
–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

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

20 authors.

Margaret R SmithDepartment of Cancer Biology, Wake Forest University School of Medicine, Winston-Salem, North Carolina.ORCID 0000-0002-3523-7150
Caroline B DixonDepartment of Cancer Biology, Wake Forest University School of Medicine, Winston-Salem, North Carolina.ORCID 0009-0008-0042-6163
Yuezhu WangDepartment of Cancer Biology, Wake Forest University School of Medicine, Winston-Salem, North Carolina.ORCID 0009-0000-2856-8528
Yin LiuDepartment of Cancer Biology, Wake Forest University School of Medicine, Winston-Salem, North Carolina.ORCID 0000-0003-4497-9217
Ralph D'AgostinoDepartment of Biostatistics and Data Science, Wake Forest University School of Medicine, Winston-Salem, North Carolina.ORCID 0000-0002-3550-8395
Jimmy RuizDepartment of Hematology and Oncology, Wake Forest University School of Medicine, Winston-Salem, North Carolina.ORCID 0000-0002-7242-3315
George OliverDepartment of Pharmacy, Atrium Health Wake Forest Baptist Medical Center, Winston-Salem, North Carolina.ORCID 0009-0005-2835-0744
Lance D MillerDepartment of Cancer Biology, Wake Forest University School of Medicine, Winston-Salem, North Carolina.ORCID 0000-0003-3799-2528
Umit TopalogluDepartment of Cancer Biology, Wake Forest University School of Medicine, Winston-Salem, North Carolina.ORCID 0000-0002-3241-8773
Michael D ChanDepartment of Radiation Oncology, Wake Forest University School of Medicine, Winston-Salem, North Carolina.ORCID 0000-0002-5278-6709
Michael FarrisDepartment of Radiation Oncology, Wake Forest University School of Medicine, Winston-Salem, North Carolina.ORCID 0000-0003-2948-227X
Jing SuDepartment of Biostatistics and Health Data Science, Indiana University School of Medicine, Indianapolis, Indiana.ORCID 0000-0003-4917-6173
Kathryn F MilehamDepartment of Solid Tumor Oncology, Levine Cancer Institute, Atrium Health, Charlotte, North Carolina.ORCID 0000-0003-1334-7743
Dawen ZhaoDepartment of Cancer Biology, Wake Forest University School of Medicine, Winston-Salem, North Carolina.ORCID 0000-0001-6428-1698
Wencheng LiDepartment of Pathology, Wake Forest University School of Medicine, Winston-Salem, North Carolina.ORCID 0000-0002-4176-8249
Tammy SextonDepartment of Pathology, Wake Forest University School of Medicine, Winston-Salem, North Carolina.ORCID 0009-0001-8500-3782
Thomas LycanDepartment of Hematology and Oncology, Wake Forest University School of Medicine, Winston-Salem, North Carolina.ORCID 0000-0001-9475-1558
Karen M HaasDepartment of Microbiology and Immunology, Wake Forest University School of Medicine, Winston-Salem, North Carolina.ORCID 0000-0002-9951-1964
Jason M GraysonDepartment of Microbiology and Immunology, Wake Forest University School of Medicine, Winston-Salem, North Carolina.ORCID 0000-0003-4524-1601
Fei XingDepartment of Cancer Biology, Wake Forest University School of Medicine, Winston-Salem, North Carolina.ORCID 0000-0001-6350-0764

Funding

Tumor Tissue CoreP30CA012197 · NCI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI Ruben A. Mesa · 1985 to 2026
$55.4M
CTSA K12 Program at Wake ForestK12TR004931 · NCATS · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI Nicholette D. Allred · 2024 to 2026
$2.3M
Intrapleural immunotherapeutic nanoparticles for MPE treatmentR01CA264102 · NCI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI LU, YONG, ZHAO, DAWEN · 2021 to 2025
$2.3M
Roles of neutrophils in c-Met mediated breast cancer brain metastasesR37CA230451 · NCI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI XING, FEI · 2018 to 2022
$1.8M
Translational Oncology Training ProgramT32CA247819 · NCI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI PARDEE, TIMOTHY SEBASTIAN, WATABE, KOUNOSUKE · 2020 to 2024
$1.4M
National Institutes of Health (NIH) P30CA012197National Institutes of Health (NIH) R37CA230451National Institutes of Health (NIH) T32CA247819NCATS NIH HHS K12 TR004931NCI NIH HHS P30 CA012197NCI NIH HHS R01 CA264102NCI NIH HHS R37 CA230451NCI NIH HHS T32 CA247819
6 · The paper itself

Abstract

Treatment of non-small cell lung cancer (NSCLC) has drastically changed in recent years owing to the robust anticancer effects of immune checkpoint inhibitors (ICI). However, only 20% of the patients with NSCLC benefit from ICIs, highlighting the need to uncover the mechanisms mediating resistance. By analyzing the overall survival (OS) and mutational profiles of 424 patients with NSCLC who received ICI treatments between 2015 and 2021, we determined that patients carrying a loss-of-function mutation in neurotrophic tyrosine kinase receptor 1 (NTRK1) had a prolonged OS when compared with patients with wild-type NTRK1. Notably, suppression of the NTRK1 pathway by knockdown or entrectinib treatment significantly enhanced ICI efficacy in mouse NSCLC models. Comprehensive T-cell population analyses demonstrated that stem-like CD4+ T cells and effector CD4+ and CD8+ T cells were highly enriched in anti-PD-1-treated mice bearing tumors with decreased NTRK1 signaling. RNA sequencing revealed that suppression of NTRK1 signaling in tumor cells increased complement C3 expression, which enhanced the recruitment of T cells and myeloid cells and stimulated M1-like macrophage polarization in the tumor. Together, this study demonstrates a role for NTRK1 signaling in regulating cross-talk between tumor cells and immune cells in the tumor microenvironment and provides a potential therapeutic approach to overcome immunotherapy resistance in patients with NSCLC with NTRK1 wild-type. Significance: Inhibition of NTRK1 signaling confers sensitivity to immunotherapy by enhancing complement C3-mediated T-cell and macrophage functions, leading to improved responses to immune checkpoint inhibitors in patients with lung cancer with NTRK1 mutations.

Indexed as

Carcinoma, Non-Small-Cell LungImmune Checkpoint InhibitorsLung NeoplasmsReceptor, trkAAnimalsBenzamidesCell Line, TumorFemaleHumansIndazolesMaleMiceMutationTumor MicroenvironmentXenograft Model Antitumor AssaysBenzamidesentrectinibImmune Checkpoint InhibitorsIndazolesNTRK1 protein, humanReceptor, trkA

Identifiers

PMID39250241
PMCPMC11611666

What OpenQuestion holds

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Registered trials

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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.