Evidence map›Paper›PMID 41331244›Full record

ArticleNature communications2025

Microbial Product Cocktails for Personalized Cancer Immunotherapy.

Yue Yan, Sijia Yang, Kathleen E Mach, Guoli Chen, David J DeGraff, Joseph C Liao, Pak Kin Wong

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

7 authors.

Yue YanDepartment of Biomedical Engineering, The Pennsylvania State University, University Park, PA, 16802, USA.
Sijia YangDepartment of Biomedical Engineering, The Pennsylvania State University, University Park, PA, 16802, USA.
Kathleen E MachDepartment of Urology, Stanford University School of Medicine, Stanford, CA, 94305, USA.
Guoli ChenDepartment of Pathology and Laboratory Medicine, Penn State Health Milton S., Hershey Medical Center, Hershey, PA, 17033, USA.
David J DeGraffDepartment of Pathology and Laboratory Medicine, Penn State Health Milton S., Hershey Medical Center, Hershey, PA, 17033, USA.ORCID http://orcid.org/0000-0002-7154-7594
Joseph C LiaoDepartment of Urology, Stanford University School of Medicine, Stanford, CA, 94305, USA. jliao@stanford.edu.ORCID http://orcid.org/0000-0003-2448-5463
Pak Kin WongDepartment of Biomedical Engineering, The Pennsylvania State University, University Park, PA, 16802, USA. pak@engr.psu.edu.ORCID http://orcid.org/0000-0001-7388-2110

Funding

Changing Cultures in Sepsis: Rapid single-cell pathogen identification and antibiotic susceptibility testing directly from whole bloodR01AI153133 · NIAID · STANFORD UNIVERSITY · PI WONG, PAK KIN, YANG, SAMUEL · 2020 to 2024
$3.7M
NIAID NIH HHS R01 AI153133
6 · The paper itself

Abstract

The human immune system has evolved to interact with various commensal and pathogenic bacteria in intricate and nuanced ways. While the diversity of bacteria presents fundamental challenges in understanding immune-microbe interactions, it also offers ample opportunities for developing effective immunomodulatory therapies. Here we show microbial product cocktails as an alternative class of immunotherapy for cancer. Using freshly resected tumors from bladder cancer patients, an immuno-comparative analysis of recruitment and enhancement assay, and an artificial intelligence-guided optimization workflow, we establish a personalized platform for identifying potent microbial product cocktails that promote recruitment, infiltration, and activation of immune cells for cancer treatment. In an orthotopic mouse bladder cancer model, microbial product cocktails demonstrate immunoenhancement and improve survival rates compared with standard bacillus Calmette-Guérin immunotherapy.

Indexed as

ImmunotherapyPrecision MedicineUrinary Bladder NeoplasmsAnimalsCell Line, TumorFemaleHumansMice

Identifiers

PMID41331244
PMCPMC12672574

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.