Evidence map›Paper›PMID 36551735›Full record

ArticleCancers2022

Attempting to Identify Bacterial Allies in Immunotherapy of NSCLC Patients.

Anna Grenda, Ewelina Iwan, Paweł Krawczyk, Małgorzata Frąk, Izabela Chmielewska, Arkadiusz Bomba, Aleksandra Giza, Anna Rolska-Kopińska, Michał Szczyrek, Robert Kieszko and 4 more

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 8% 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

24 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

  1. Pooled it
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  3. Tobacco smoking disrupts bile acid and tryptophan metabolism in multiple sclerosis.Multiple sclerosis (Houndmills, Basingstoke, England) · 2026
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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

14 authors at 2 institutions in 1 country.

Anna GrendaDepartment of Pneumonology, Oncology and Allergology, Medical University of Lublin, Jaczewskiego 8, 20-950 Lublin, Poland.
Ewelina IwanDepartment of Omics Analyses, National Veterinary Research Institute, Partyzantow 57, 24-100 Pulawy, Poland.ORCID 0000-0001-7274-5237
Paweł KrawczykDepartment of Pneumonology, Oncology and Allergology, Medical University of Lublin, Jaczewskiego 8, 20-950 Lublin, Poland.
Małgorzata FrąkDepartment of Pneumonology, Oncology and Allergology, Medical University of Lublin, Jaczewskiego 8, 20-950 Lublin, Poland.
Izabela ChmielewskaDepartment of Pneumonology, Oncology and Allergology, Medical University of Lublin, Jaczewskiego 8, 20-950 Lublin, Poland.ORCID 0000-0002-0948-9071
Arkadiusz BombaDepartment of Omics Analyses, National Veterinary Research Institute, Partyzantow 57, 24-100 Pulawy, Poland.
Aleksandra GizaDepartment of Omics Analyses, National Veterinary Research Institute, Partyzantow 57, 24-100 Pulawy, Poland.
Anna Rolska-KopińskaDepartment of Pneumonology, Oncology and Allergology, Medical University of Lublin, Jaczewskiego 8, 20-950 Lublin, Poland.
Michał SzczyrekDepartment of Pneumonology, Oncology and Allergology, Medical University of Lublin, Jaczewskiego 8, 20-950 Lublin, Poland.
Robert KieszkoDepartment of Pneumonology, Oncology and Allergology, Medical University of Lublin, Jaczewskiego 8, 20-950 Lublin, Poland.
Tomasz KucharczykDepartment of Pneumonology, Oncology and Allergology, Medical University of Lublin, Jaczewskiego 8, 20-950 Lublin, Poland.
Bożena JaroszDepartment of Neurosurgery and Pediatric Neurosurgery, Medical University of Lublin, Jaczewskiego 8, 20-950 Lublin, Poland.
Dariusz WasylDepartment of Omics Analyses, National Veterinary Research Institute, Partyzantow 57, 24-100 Pulawy, Poland.ORCID 0000-0002-1068-8414
Janusz MilanowskiDepartment of Pneumonology, Oncology and Allergology, Medical University of Lublin, Jaczewskiego 8, 20-950 Lublin, Poland.
Medical University of Lublin · PLNational Veterinary Research Institute · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Factors other than PD-L1 (Programmed Death Ligand 1) are being sought as predictors for cancer immuno- or chemoimmunotherapy in ongoing studies and long-term observations. Despite high PD-L1 expression on tumor cells, some patients do not benefit from immunotherapy, while others, without the expression of this molecule, respond to immunotherapy. Attention has been paid to the composition of the gut microbiome as a potential predictive factor for immunotherapy effectiveness. Materials and Methods: Our study enrolled 47 Caucasian patients with stage IIIB or IV non-small cell lung cancer (NSCLC). They were eligible for treatment with first- or second-line immunotherapy or chemoimmunotherapy. We collected stool samples before the administration of immunotherapy. We performed next-generation sequencing (NGS) on DNA isolated from the stool sample and analyzed bacterial V3 and V4 of the 16S rRNA gene. Results: We found that bacteria from the families Barnesiellaceae, Ruminococcaceae, Tannerellaceae, and Clostridiaceae could modulate immunotherapy effectiveness. A high abundance of Bacteroidaaceae, Barnesiellaceae, and Tannerellaceae could extend progression-free survival (PFS). Moreover, the risk of death was significantly higher in patients with a high content of Ruminococcaceae family (HR = 6.3, 95% CI: 2.6 to 15.3, p < 0.0001) and in patients with a low abundance of Clostridia UCG-014 (HR = 3.8, 95% CI: 1.5 to 9.8, p = 0.005) regardless of the immunotherapy line. Conclusions: The Clostridia class in gut microbiota could affect the effectiveness of immunotherapy, as well as the length of survival of NSCLC patients who received this method of treatment.

Indexed as

Clostridiaimmunotherapymicrobiomenon-small cell lung cancer

Identifiers

PMID36551735
PMCPMC9777223
OpenAlexW4312140465

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.