Evidence map›Paper›PMID 39409924›Full record

ReviewCancers2024

The Laws of Attraction: Chemokines as Critical Mediators in Cancer Progression and Immunotherapy Response in Bladder Cancer.

Zaineb Hassouneh, Michelle E Kim, Natalia Bowman, Manjeet Rao, Nu Zhang, Gang Huang, Robert S Svatek, Neelam Mukherjee

Abstract readReview
In one paragraph

Review in Cancers, 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. 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

8 authors.

Zaineb HassounehDepartment of Urology, University of Texas Health Science Center at San Antonio (UTHSCSA), San Antonio, TX 78229, USA.
Michelle E KimDepartment of Urology, University of Texas Health Science Center at San Antonio (UTHSCSA), San Antonio, TX 78229, USA.
Natalia BowmanDepartment of Urology, University of Texas Health Science Center at San Antonio (UTHSCSA), San Antonio, TX 78229, USA.ORCID 0009-0008-4178-2324
Manjeet RaoDepartment of Cell Systems and Anatomy, Greehey Children's Cancer Research Institute, San Antonio, TX 78229, USA.ORCID 0000-0001-7573-2677
Nu ZhangDepartment of Microbiology, Immunology, and Molecular Genetics, University of Texas Health Science Center at San Antonio (UTHSCSA), San Antonio, TX 78229, USA.ORCID 0000-0001-9695-210X
Gang HuangDepartment of Cell Systems and Anatomy, Greehey Children's Cancer Research Institute, San Antonio, TX 78229, USA.
Robert S SvatekDepartment of Urology, University of Texas Health Science Center at San Antonio (UTHSCSA), San Antonio, TX 78229, USA.
Neelam MukherjeeDepartment of Urology, University of Texas Health Science Center at San Antonio (UTHSCSA), San Antonio, TX 78229, USA.ORCID 0000-0003-1974-6075

Funding

TISSUE CULTURE---COREP30CA054174 · NCI · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI LUZHE SUN · 1991 to 2026
$59.1M
UTHealth-LINK- A PREP programR25GM130437 · NIGMS · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI HOPP, SARAH CHRISTINE, OYAJOBI, BABATUNDE OLUKAYODE · 2020 to 2024
$1.6M
Novel mechanism of chemokine nitration in bladder cancerR01CA281726 · NCI · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI Neelam Mukherjee · 2024 to 2026
$1.2M
South Texas Medical Scientist Training Program (STX-MSTP)T32GM113896 · NIGMS · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI CAVAZOS, JOSE E · 2018 to 2022
$1.1M
CDMRP CA170270/P1P2Mays Cancer Center P30 Cancer Center Support Grant CA054174NCI NIH HHS P30 CA054174NIGMS NIH HHS R25 GM130437NIH HHS 1R01CA281726-01A1NIH HHS T32GM113896Research Training Award RP170345
6 · The paper itself

Abstract

Bladder cancer (BCa) is a prevalent urogenital malignancy, characterized by a myriad of genetic and environmental risk factors that drive its progression. Approximately 75% of bladder tumors are non-muscle-invasive at diagnosis. For such cases, bladder preservation is often feasible with intravesical chemotherapy or immunotherapy. However, the high recurrence rates associated with these tumors necessitate multiple cystoscopic examinations and biopsies, leading to significant financial burden and morbidity. Despite bladder tumors exhibiting one of the highest cancer mutational loads, which typically correlates with improved responses to immunotherapy, challenges persist. The tumor microenvironment serves as a nexus for interactions between tumor cells and the immune system, wherein chemokines and chemokine receptors orchestrate the recruitment of immune cells. This review addresses existing gaps in our understanding of chemokine dynamics in BCa by elucidating the specific roles of key chemokines in shaping the immune landscape of the tumor microenvironment (TME). We explore how dysregulation of chemokine signaling pathways contributes to the recruitment of immunosuppressive cell populations, such as Tregs and monocytes, leading to an unfavorable immune response. Additionally, we highlight the potential of these chemokines as predictive biomarkers for tumor progression and treatment outcomes, emphasizing their role in informing personalized immunotherapeutic strategies. By integrating insights into chemokine networks and their implications for immune cell dynamics, this review seeks to provide a comprehensive understanding of the interplay between chemokines and the immune microenvironment in BCa. Furthermore, we discuss the potential of targeting these chemokine pathways as innovative immunotherapeutic strategies, paving the way for enhanced treatment responses and improved patient outcomes.

Indexed as

BCGbladder cancerchemokinesimmune therapymigration

Identifiers

PMID39409924
PMCPMC11648100

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.