Evidence map›Paper›PMID 39289651›Full record

ArticleBMC cancer2024

Genomic investigation of innate sensing pathways in the tumor microenvironment.

Gabriella Quinn, Gianna Maggiore, Bo Li

Abstract read
In one paragraph

Article in BMC cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

3 authors.

Gabriella QuinnDepartment of Immunology, UT Southwestern Medical Center, Dallas, TX, USA.
Gianna MaggioreChildren's Research Institute, UT Southwestern Medical Center, Dallas, TX, USA.
Bo LiDepartment of Immunology, UT Southwestern Medical Center, Dallas, TX, USA. lib3@chop.edu.

Funding

Tracking Peripheral T-Cell Repertoire Changes for Preoperative and Early Ovarian Cancer DiagnosisR01CA258524 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI Jayanthi S Lea, Bo Li · 2022 to 2026
$3.8M
Antigen-independent prediction and biomarker identification of cancer-specific T cellsR01CA245318 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI LI, BO · 2020 to 2024
$1.9M
NCI NIH HHS R01 CA245318NCI NIH HHS R01 CA258524
6 · The paper itself

Abstract

The innate immune system is the first responder to infectious agents, cellular debris, and cancerous growths. This system plays critical roles in the antitumor immune responses by boosting and priming T cell-mediated cytotoxicity but is understudied due to the complexity and redundancy of its various downstream signaling cascades. We utilized a mathematical tool to holistically quantify innate immune signaling cascades and immunophenotype over 8,000 tumors from The Cancer Genome Atlas (TCGA). We found that innate immune activation was predictive of patient mortality in a subset of cancers. Further analysis identified PHF genes as transcripts that were associated with genomic stability and innate activation. Knockdown of PHF gene transcripts in vitro led to an increase in cell death and IFNB1 expression in a cGAS-dependent manner, validating PHF genes as potential anti-tumor targets. We also found an association between innate immune activation and both tumor immunogenicity and intratumor microbes, which highlights the versatility of this model. In conclusion, interrogating activation of innate immune signaling cascades demonstrated the importance of studying innate signaling in cancer and broadened the search for new therapeutic adjuvants.

Indexed as

GenomicsImmunity, InnateNeoplasmsSignal TransductionTumor MicroenvironmentGene Expression Regulation, NeoplasticHumansCGAS-STINGInnate immunityTCGATumor microenvironment

Identifiers

PMID39289651
PMCPMC11409789

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.