From 114 papers on this topic published since 2021, kept out of the 371 most relevant results of our searches on OpenAlex. Relevance was checked for the 120 closest papers only.

This is a sample of the field, not a census: a broad topic has many more papers than a map reads. Narrow the topic or edit the searches to map one part of it well.

The 4 searches run on OpenAlex · An overview of the field
  • gut microbiome checkpoint inhibitor response cancer — OpenAlex finds 17636 papers
  • microbiome immunotherapy clinical biomarkers — OpenAlex finds 25392 papers
  • gut bacteria checkpoint blockade mechanisms — OpenAlex finds 9126 papers
  • fecal microbiota transplantation immunotherapy resistance — OpenAlex finds 7207 papers

The landscape

The first two approaches largely synthesize mechanisms and therapeutic possibilities, with the first centered on checkpoint inhibitors and the second extending to broader cancer immunity and immunotherapy. The third emphasizes clinical associations with response and toxicity, whereas the fourth focuses on extracting predictive signatures, including functional and gene-level features, with substantial attention to lung cancer. The fifth overlaps with mechanistic and intervention-oriented work while adding modeling and specific clinical questions, although its title-only evidence limits finer characterization.

People

Ordered by the papers of the map they sign, counting more those they sign first, last or as corresponding author. Author order says who did what in many fields, not who leads a team; it is not used in alphabetical author lists, nor after the first fifteen authors of a large collaboration.

Institutions

These are publication affiliations, not identified research teams. A national organization such as CNRS can include several independent laboratories.

Ordered by the papers one of their authors signs first, last or as corresponding author, then by their share of the papers: a paper signed by four institutions counts a quarter for each, so a large collaboration does not make each of its members look central.

Approaches

The papers are grouped by the similarity of their titles and abstracts; an AI names each group from its papers. A paper is in one group only.

Papers

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From the paper metadata of OpenAlex, which can be incomplete (affiliations, homonyms). Check before contacting anyone.