Perspectives |
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Corresponding author: Peter Wolf ( peter.wolf@medunigraz.at ) Academic editor: Georg Stingl
© 2025 Johannes Woltsche, Christiane Mutz-Rabl, Hanna Schratter, Rainer Hofmann-Wellenhof, Vanessa Stadlbauer, Peter Wolf.
This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY-NC 4.0), which permits to copy and distribute the article for non-commercial purposes, provided that the article is not altered or modified and the original author and source are credited.
Citation:
Woltsche J, Mutz-Rabl C, Schratter H, Hofmann-Wellenhof R, Stadlbauer V, Wolf P (2025) Microbiome and response to immunotherapy in malignant melanoma. SKINdeep 1: e173725. https://doi.org/10.1553/skindeep.2025.173725
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Immune checkpoint inhibitors (ICIs) have improved survival in advanced melanoma; however, a considerable number of patients does not respond, and side effects are common. Studies suggest that the gut microbiome may influence ICI outcomes, with certain bacteria and microbial functions being linked to a positive response in some patient groups. However, findings are inconsistent across studies, and no universal microbial biomarkers have been identified. Longitudinal and multi-omic analyses indicate that microbial dynamics may matter, and that other body sites, such as the skin and the intratumoral environment, could also be relevant. More systematic research and testing of multiple hypotheses is needed before microbiome-based strategies may be reliably applied in clinical practice. Here, we summarize evidence connecting the human microbiome to ICI response in melanoma.
Melanoma, microbioma, immune checkpoint inhibition
Immune checkpoint inhibition (ICI) has revolutionized treatment outcomes in patients with advanced melanoma [
Considerable efforts have therefore been undertaken to investigate host and tumor characteristics that modulate ICI efficacy: Among these, the microbiome has emerged as a potential key player in enhancing the effects of anti-PD-1 and/or anti-CTLA-4 therapy. Evidence from preclinical mouse models indicated a strong link between gut microbiome composition and responsiveness to immunomodulatory treatments in cancer [
Several landmark observational studies have linked gut microbiome composition with response to ICI in melanoma (Table
Shortly thereafter, Frankel et al. [
The concept of “favourable” and “unfavourable” gut microbiome compositions was further reinforced and widely disseminated by two pivotal cross-sectional studies that caused major interest in this field [
Peters et al. [
Building on these mechanistic insights, larger observational studies further characterized microbiome–therapy interactions: Spencer et al. [
McCulloch et al. [
Lee et al. [
In parallel, Simpson et al. [
Together, these cross-sectional studies established that the gut microbiome can influence ICI response, yet substantial variability across cohorts challenges the notion of universal microbial biomarkers across diverse environments and geographies.
To illustrate how strongly the environment-dependent microbiome can affect immunological readouts, it is worth recalling the example where immune phenotypes observed in laboratory mice could not be reproduced in wild mice. These discrepancies were traced back to differences in the murine skin microbiome [
Such geography- and environment-driven heterogeneities in cross-sectional studies have prompted a shift toward longitudinal designs with serial sampling before and during therapy. Shifting the focus from intercohort to intraindividual comparisons may allow the microbiome to be exploited for ICI response while circumventing geography-driven discrepancies.
Björk et al. [
Macandog et al. [
Landmark observational clinical trials investigating the association between gut microbiome composition and ICI response in patients with advanced melanoma.
| Publication | Patient number | Treatment | Sequencing methods | Study type | Results |
| Gopalakrishnan et al. Science. 2018 [ |
n = 43 | anti-PD-1: n=40 anti-PD-1 combination: n=3a | 16S rRN shotgun m.* | cross-sectionalb | Responders have higher gut microbiome diversity and increased Ruminococcaceae; favourable microbiome linked to enhanced systemic and anti-tumor immunity. Faecal transfer from responders improves anti-tumor response in mice. |
| Matson et al. Science. 2018 [ |
n = 42 | anti-PD-1: n=38 anti-CTLA-4: n=4 | 16S rRNA shotgun m. qPCR | cross-sectional | Specific commensal bacteria (Bifidobacterium longum, Collinsella aerofaciens, Enterococcus faecium) enriched in responders; faecal transfer from responders enhances tumor control and T-cell responses in mice. |
| Spencer et al. Science. 2021 [ |
n=254c | anti-PD-1: n=170 anti-CTLA-4: n=16 anti-PD-1 and anti-CTLA-4: n=68 | 16S rRNA shotgun m. | cross-sectional | Higher dietary fiber intake is associated with improved PFS in ICI-treated melanoma; probiotic use may impair response. Responders to anti-PD-1 therapy show enrichment of Ruminococcaceae and Faecalibacterium (including F. prausnitzii), but there are no significant differences in alpha or beta diversity between responders and non-responders. |
| McCulloch et al. Nature Medicine. 2022 [ |
n=155d | anti-PD-1: n=155 | 16S rRNA shotgun m. | cross-sectional | No difference in alpha diversity between responders and non-responders. Taxa belonging to the Lachnospiraceae family (few genera) and Actinobacteria phylum (incl. Bifidobacterium) were enriched in responders; Prevotella spp. (Bacteroidetes) was enriched in non-responders. |
| Lee et al. Nature Medicine. 2022 [ |
n=165 | anti-PD-1: n=100 anti-CTLA-4: n=11 anti-PD-1 and anti-CTLA-4: n=54 | shotgun m. | cross-sectional | Gut microbiome composition is associated with ICI response, but specific microbial signatures are cohort-dependent; no single species is a universal biomarker; Bifidobacterium pseudocatenulatum, Roseburia spp., and Akkermansia muciniphila enriched in some responders. |
| Simpson et al. Nature Medicine. 2022 [ |
n=218e | anti-PD-1: n=115 anti-PD-1 and anti-CTLA-4: n=103 | 16S rRNA shotgun m. | cross-sectional | Ruminococcaceae -dominated microbiomes are associated with higher response rates; Bacteroidaceae dominance and low fiber/omega-3 intake linked to poor response; geographic and dietary factors influence microbiome-response associations. |
| Björk et al. Nature Medicine. 2024 [ |
n=175 | anti-PD-1: n=117 anti-PD-1 and anti-CTLA-4: n=58 | shotgun m. | longitudinal | Distinct microbial genome bins and pathways at baseline and after treatment initiation are associated with PFS≥12 months; dynamic changes in microbiome composition relate to ICI regimen, irAEs, and concomitant medication. |
Early-phase clinical trials demonstrate the translational potential of microbiome modulation in advanced melanoma: Multiple fecal-microbiota-transplant-based studies – including trials in anti-PD-1-refractory [
While most research in the context of ICI response and its association with the human microbiome has focused on the gut commensals, little is known about other microbial niches.
The skin microbiome may play a particularly important role in melanoma, although current evidence remains limited and complicated by strong variation across body sites. Early findings suggest that skin commensals such as Staphylococcus epidermidis and Cutibacterium acnes may influence melanoma development [
Microbes can enter solid tumors via multiple routes [
To develop reliable guidelines for integrating microbiome analysis into the daily clinical routine, future studies will need to adopt large-scale, longitudinal, and multi-specimen approaches [
By expressing multiple ligands for pattern recognition receptors (PRR), including toll-like receptors (TLR) and the stimulator of interferon genes (STING) pathway, commensals can modulate antigen-presenting cell (APC) activity and thereby significantly influence host immunity [
There are more data on the link of microbiome composition and adaptive immunity. Distinct microbial genera and species of the gut microbiome may be associated with increased cytotoxic T-cell infiltration of tumors [
Initial studies suggested that the gut microbiome might provide universal biomarkers for ICI response. However, larger and more powerful studies showed strong variability between cohorts, making such one-size-fits-all markers unlikely.
Other niches, such as the intratumoral microbiome, may be even more relevant for local immunity than the gut microbiome. At the same time, microbial markers of the skin, blood, saliva, or urine could simplify testing in clinical practice.
The next step should be the deep, systematic, longitudinal characterization of different microbiome sites across diverse melanoma patient populations.
The authors have declared that no competing interests exist.
Not applicable.
During the preparation of this work the authors used ChatGPT in order to enhance readability and language. After using this tool, the authors reviewed and edited the content as needed and take full responsibility for the content of the publication.
No funding was reported.
Conceptualization: PW, JW. Investigation: JW, PW, CMR, HS. Supervision: PW, VS, RHW. Visualization: JW. Writing – original draft: JW. Writing – review and editing: VS, RHW, PW, HS, CMR.
All of the data that support the findings of this study are available in the main text.