Evidence map›Paper›PMID 39872303›Full record

ReviewLife medicine2023

Targeting intracellular proteins with cell type-specific functions for cancer immunotherapy.

Madison E Carelock, Rohan P Master, Myung-Chul Kim, Zeng Jin, Lei Wang, Chandra K Maharjan, Nan Hua, Umasankar De, Ryan Kolb, Yufeng Xiao and 3 more

Abstract readReview
In one paragraph

Review in Life medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Targeting Lineage-Specific Functions of NR4A1 for Cancer Immunotherapy.International journal of molecular sciences · 2025
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. 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

13 authors.

Madison E CarelockDepartment of Pathology, Immunology and Laboratory Medicine, College of Medicine, University of Florida, Gainesville, FL 32610, USA.
Rohan P MasterDepartment of Pathology, Immunology and Laboratory Medicine, College of Medicine, University of Florida, Gainesville, FL 32610, USA.
Myung-Chul KimDepartment of Pathology, Immunology and Laboratory Medicine, College of Medicine, University of Florida, Gainesville, FL 32610, USA.
Zeng JinDepartment of Pathology, Immunology and Laboratory Medicine, College of Medicine, University of Florida, Gainesville, FL 32610, USA.
Lei WangDepartment of Pathology, Immunology and Laboratory Medicine, College of Medicine, University of Florida, Gainesville, FL 32610, USA.
Chandra K MaharjanDepartment of Pathology, Immunology and Laboratory Medicine, College of Medicine, University of Florida, Gainesville, FL 32610, USA.
Nan HuaDepartment of Pathology, Immunology and Laboratory Medicine, College of Medicine, University of Florida, Gainesville, FL 32610, USA.
Umasankar DeDepartment of Pathology, Immunology and Laboratory Medicine, College of Medicine, University of Florida, Gainesville, FL 32610, USA.
Ryan KolbDepartment of Pathology, Immunology and Laboratory Medicine, College of Medicine, University of Florida, Gainesville, FL 32610, USA.
Yufeng XiaoDepartment of Medicinal Chemistry, College of Pharmacy, University of Florida, Gainesville, FL 32610, USA.
Daiqing LiaoUF Health Cancer Center, University of Florida, Gainesville, FL 32610, USA.
Guangrong ZhengUF Health Cancer Center, University of Florida, Gainesville, FL 32610, USA.ORCID https://orcid.org/0000-0002-8106-6663
Weizhou ZhangDepartment of Pathology, Immunology and Laboratory Medicine, College of Medicine, University of Florida, Gainesville, FL 32610, USA.

Funding

Proteolysis-targeting chimera against BCL-XL inhibits breast cancer metastasisR01CA260239 · NCI · UNIVERSITY OF FLORIDA · PI ZHANG, WEIZHOU · 2021 to 2025
$2.5M
Exploring novel therapeutic strategies for combinatory therapy to treat renal clear cell carcinomasR01CA269661 · NCI · UNIVERSITY OF FLORIDA · PI Weizhou Zhang · 2023 to 2026
$1.9M
NCI NIH HHS R01 CA260239NCI NIH HHS R01 CA269661
6 · The paper itself

Abstract

Immune checkpoint inhibitors (ICIs) use antibodies that block cell surface immune checkpoint proteins with great efficacy in treating immunogenic or "immune hot" tumors such as melanoma, kidney, and lung adenocarcinoma. ICIs have limited response rates to other non-immunogenic cancers. The tumor microenvironment (TME) consists of many cell types that collectively promote tumor progression. Cancer therapeutics are commonly designed to target one molecule in one defined cell type. There is growing evidence that long-term therapeutic responses require the targeting of cancer cells and tumor-promoting populations within the TME. The question remains whether we can identify targetable molecules/pathways that are critical for multiple cell types. Here, we will discuss several molecular targets that may fit a "two or multiple birds, one stone" model, including the B-cell lymphoma-2 (BCL-2) family pro-survival factors, transcriptional factors including signal transducer and activator of transcription 3, the nuclear receptor 4A family (NR4A1, NR4A2, and NR4A3), as well as epigenetic regulators such as bromodomain and extra-terminal (BET) family proteins, histone deacetylase family, SET domain bifurcated histone lysine methyltransferase 1 (SETDB1), and lysine-specific demethylase 1 (LSD1/KDM1A). We will focus on the rationale of these targets in immune modulation, as well as the strategies for targeting these important proteins for cancer therapy.

Indexed as

immune checkpoint inhibitorsimmunotherapymultifunctional protein targetstumor microenvironment (TME)

Identifiers

PMID39872303
PMCPMC11749652

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.