Evidence map›Paper›PMID 37546791›Full record

ArticlebioRxiv : the preprint server for biology2024

Improving PD-1 blockade plus chemotherapy for complete remission of lung cancer by nanoPDLIM2.

Fan Sun, Pengrong Yan, Yadong Xiao, Hongqiao Zhang, Steven D Shapiro, Gutian Xiao, Zhaoxia Qu

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Fan Sun
Pengrong Yan
Yadong Xiao
Steven D Shapiro
Gutian Xiao
Zhaoxia Qu
University of Southern California · USUPMC Hillman Cancer Center · US

Funding

Structural and molecular dissection of NF-kappaB regulation by the ubiquitin E3 ligase PDLIM2 in lung innate immunity and diseasesR01GM144890 · NIGMS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI QU, ZHAOXIA, XIAO, GUTIAN · 2022 to 2025
$2.1M
Mechanistic difference of NF-kappaB in lung physiology and tumorigenesisR01CA258614 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Zhaoxia Qu, GUTIAN XIAO · 2022 to 2026
$1.9M
Faithful Mouse Modeling of Human Lung CancerR21CA259706 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI XIAO, GUTIAN · 2021 to 2021
$405k
NCI NIH HHS R01 CA258614NCI NIH HHS R21 CA259706NIGMS NIH HHS R01 GM144890
6 · The paper itself

Abstract

Background: Immune checkpoint inhibitors (ICIs) and their combination with other therapies such as chemotherapy, fail in most cancer patients. We previously identified the PDZ-LIM domain-containing protein 2 (PDLIM2) as a Methods: Human clinical samples and data were used to investigate Results: PDLIM2 repression in human lung cancer involves both genetic deletion and epigenetic alteration. NanoPDLIM2 showed low toxicity, high tumor specificity, antitumor activity, and greatly improved the efficacy of anti-PD-1 and chemotherapeutic drugs, with complete tumor remission in most mice and substantial tumor reduction in the remaining mice by their triple combination. Mechanistically, nanoPDLIM2 increased major histocompatibility complex class I (MHC-I) expression, suppressed multi-drug resistance 1 (MDR1) induction and survival genes and other tumor-related genes expression in tumor cells, and enhanced lymphocyte tumor infiltration, turning the cold tumors hot and sensitive to ICIs and rendering them vulnerable to chemotherapeutic drugs and activated tumor-infiltrating lymphocytes (TILs) including those unleashed by ICIs. Conclusions: These studies established a clinically applicable PDLIM2-based combination therapy with great efficacy for lung cancer and possibly other cold cancers.

Identifiers

PMID37546791
PMCPMC10402062
OpenAlexW4385231616

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.