Evidence map›Paper›PMID 35073876›Full record

ArticleBMC cancer2022

Effect of prior antibiotic or chemotherapy treatment on immunotherapy response in non-small cell lung cancer.

Andrew F Nyein, Shahla Bari, Stephanie Hogue, Yayi Zhao, Bradley Maller, Sybil Sha, Maria F Gomez, Dana E Rollison, Lary A Robinson

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in BMC cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 4 pooled it
3.5field-weighted citation impact, top 6% 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

35 citing papers in PubMed, 4 syntheses or guidelines pooled it, 40 citations in OpenAlex.

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  18. Gut microbiota shapes cancer immunotherapy responses.NPJ biofilms and microbiomes · 2025
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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

9 authors at 3 institutions in 1 country.

Andrew F NyeinDepartment of Cancer Epidemiology, Moffitt Cancer Center, Tampa, FL, 33612, USA.
Shahla BariDivision of Hematology & Oncology, Moffitt Cancer Center, Tampa, FL, 33612, USA.
Stephanie HogueDepartment of Cancer Epidemiology, Moffitt Cancer Center, Tampa, FL, 33612, USA.
Yayi ZhaoDepartment of Cancer Epidemiology, Moffitt Cancer Center, Tampa, FL, 33612, USA.
Bradley MallerMorsani College of Medicine, University of South Florida, Tampa, FL, 33612, USA.
Sybil ShaCornell University, Ithaca, NY, 14853, USA.
Maria F GomezDepartment of Cancer Epidemiology, Moffitt Cancer Center, Tampa, FL, 33612, USA.
Dana E RollisonDepartment of Cancer Epidemiology, Moffitt Cancer Center, Tampa, FL, 33612, USA.
Lary A RobinsonDepartment of Cancer Epidemiology, Moffitt Cancer Center, Tampa, FL, 33612, USA. lary.robinson@moffitt.org.
Moffitt Cancer Center · USCornell University · USUniversity of South Florida · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTreatment outcomes of advanced non-small cell lung cancer (NSCLC) have substantially improved with immune checkpoint inhibitors (ICI), although only approximately 19% of patients respond to immunotherapy alone, increasing to 58% with the addition of chemotherapy. The gut microbiome has been recognized as a modulator of ICI response via its priming effect on the host immune response. Antibiotics as well as chemotherapy reduce gut microbial diversity, hence altering composition and function of the gut microbiome. Since the gut microbiome may modify ICI efficacy, we conducted a retrospective study evaluating the effects of prior antibiotic or chemotherapy use on NSCLC patient response to ICI.

methodsWe retrospectively evaluated 256 NSCLC patients treated between 2011-2017 at Moffitt Cancer Center with ICI ± chemotherapy, examining the associations between prior antibiotic or chemotherapy use, overall response rate and survival. Relative risk regression using a log-link with combinatorial expectation maximization algorithm was performed to analyze differences in response between patients treated with antibiotics or chemotherapy versus patients who didn't receive antibiotics or chemotherapy. Cox proportional hazards models were constructed to evaluate associations between risk factors and overall survival.

resultsOnly 46 (18% of 256) patients used antibiotics prior to and/or during ICI treatment, and 146 (57%) had prior chemotherapy. Antibiotic users were 8% more likely to have worse overall response rate (RR:1.08; CI:0.93-1.26; p = 0.321), as well as a 35% worse overall survival (HR:1.35; CI:0.91-2.02; p = 0.145), although results were not statistically significant. However, prior use of chemotherapy was significantly associated with poor ICI response (RR:1.24; CI:1.05-1.47; p = 0.013) and worse overall survival (HR:1.47; CI:1.07-2.03; p = 0.018).

conclusionsPatients receiving antibiotics prior to and/or during ICI therapy might experience worse treatment outcomes and survival than unexposed patients, although these associations were not statistically significant and hence warrant further prospective study. Prior chemotherapy significantly reduced ICI response and overall survival. Antibiotic or chemotherapy exposure may negatively impact ICI response, perhaps through disruption of the eubiotic gut microbiome.

Indexed as

AgedAnti-Bacterial AgentsAntineoplastic AgentsCarcinoma, Non-Small-Cell LungFemaleGastrointestinal MicrobiomeHumansImmune Checkpoint InhibitorsImmunotherapyLung NeoplasmsMaleMiddle AgedRetrospective StudiesSurvival RateTreatment OutcomeAnti-Bacterial AgentsAntineoplastic AgentsImmune Checkpoint InhibitorsAntibioticsChemotherapyImmune checkpoint inhibitorsImmunotherapyMicrobiomeNon-small cell lung cancer

Identifiers

PMID35073876
PMCPMC8787935
OpenAlexW4220939741

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.