Evidence map›Paper›PMID 31882868›Full record

ArticleScientific reports2019

Lysates of Lactobacillus acidophilus combined with CTLA-4-blocking antibodies enhance antitumor immunity in a mouse colon cancer model.

Qian Zhuo, Bohai Yu, Jing Zhou, Jingyun Zhang, Runling Zhang, Jingyan Xie, Qingling Wang, Shuli Zhao

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 86 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
86citing papers in PubMed, 2 pooled it
4.6field-weighted citation impact, top 4% of its field
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

86 citing papers in PubMed, 2 syntheses or guidelines pooled it, 131 citations in OpenAlex.

  1. Pooled it
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  10. Harnessing biomarkers to guide immunotherapy in esophageal cancer: toward precision oncology.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
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  13. Article
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  16. Gut microbiota shapes cancer immunotherapy responses.NPJ biofilms and microbiomes · 2025
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26 more citing papers are in PubMed but not listed here.

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 at 4 institutions in 1 country.

Qian ZhuoGeneral Clinical Research Center, Nanjing First Hospital, Nanjing Medical University, Nanjing, 210006, China.
Bohai YuMedical Laboratory Department, Shenzhen Hospital of Guangzhou University of Chinese Medicine, Shenzhen, Guangdong, 518034, China.
Jing ZhouGeneral Clinical Research Center, Nanjing First Hospital, Nanjing Medical University, Nanjing, 210006, China.
Jingyun ZhangGeneral Clinical Research Center, Nanjing First Hospital, Nanjing Medical University, Nanjing, 210006, China.
Runling ZhangUniversity of Chinese Academy of Sciences Shenzhen Hospital, Shenzhen, Guangdong, 518106, China.
Jingyan XieGeneral Clinical Research Center, Nanjing First Hospital, Nanjing Medical University, Nanjing, 210006, China.
Qingling WangDepartment of Pathology, Xuzhou Medical University, Xuzhou, Jiangsu, 221004, China. qlwang@xzhmu.edu.cn.
Shuli ZhaoGeneral Clinical Research Center, Nanjing First Hospital, Nanjing Medical University, Nanjing, 210006, China. shulizhao79@163.com.
Nanjing Medical University · CNXuzhou Medical College · CNGuangzhou University of Chinese Medicine · CNUniversity of Chinese Academy of Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Previous reports have suggested that many gut microbiomes were associated with the development of colorectal cancer (CRC), and could modulate response to numerous forms of cancer therapy, including checkpoint blockade immunotherapy. Here we evaluated the protective efficacy of Lactobacillus acidophilus (L. acidophilus) cell lysates combined with an anti-CTL antigen-4 blocking antibody (CTLA-4 mAb) in syngeneic BALB/c mice CRC models induce by a single intraperitoneal injection of 10 mg/kg azoxymethane (AOM), followed by three cycles of 2% dextran sulfate sodium (DSS) in drinking water. In contrast to CTLA-4 mAb monotherapy, L. acidophilus lysates could attenuate the loss of body weight and the combined administration significantly protected mice against CRC development, which suggested that the lysates enhanced antitumor activity of CTLA-4 mAb in model mice. The enhanced efficacy was associated with the increased CD8 + T cell, increased effector memory T cells (CD44 + CD8 + CD62L+), decreased Treg (CD4 + CD25 + Foxp3+) and M2 macrophages (F4/80 + CD206+) in the tumor microenvironment. In addition, our results revealed that L. acidophilus lysates had an immunomodulatory effect through inhibition the M2 polarization and the IL-10 expressed levels of LPS-activated Raw264.7 macrophages. Finally, the 16S rRNA gene sequencing of fecal microbiota demonstrated that the combined administration significantly inhibited the abnormal increase in the relative abundance of proteobacteria and partly counterbalance CRC-induced dysbiosis in model mice. Overall, these data support promising clinical possibilities of L. acidophilus lysates with CTLA-4 mAb in cancer patients and the hypothesis that probiotics help shape the anticancer immune response.

Indexed as

Lactobacillus acidophilusAnimalsAntibodies, BlockingAntineoplastic Agents, ImmunologicalCell Line, TumorColonic NeoplasmsComplex MixturesCTLA-4 AntigenDisease Models, AnimalDrug SynergismGastrointestinal MicrobiomeHumansImmunoglobulin GImmunomodulationMaleMiceAntibodies, BlockingAntineoplastic Agents, ImmunologicalComplex MixturesCTLA-4 AntigenImmunoglobulin GProtective Agents

Identifiers

PMID31882868
PMCPMC6934597
OpenAlexW2997153427

What OpenQuestion 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 OpenQuestion graph.