In one paragraphArticle in Gut microbes, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from itWhat 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 registryThe 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 literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
15 authors.
Aleksandra StrokachLopukhin Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, Moscow, Russia.ORCID 0009-0009-9470-7640 Natalia ZakharevichLopukhin Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, Moscow, Russia.ORCID 0000-0001-9336-2884 Viktoriya AginovaFederal State Budgetary Institution «N.N. Blokhin National Medical Research Center of Oncology» оf the Ministry of Health of the Russian Federation, Moscow, Russia.
Zlata GrigoryevskayaFederal State Budgetary Institution «N.N. Blokhin National Medical Research Center of Oncology» оf the Ministry of Health of the Russian Federation, Moscow, Russia.
Irina PetukhovaFederal State Budgetary Institution «N.N. Blokhin National Medical Research Center of Oncology» оf the Ministry of Health of the Russian Federation, Moscow, Russia.
Nataliya BagirovaFederal State Budgetary Institution «N.N. Blokhin National Medical Research Center of Oncology» оf the Ministry of Health of the Russian Federation, Moscow, Russia.
Mikhail RomanovLopukhin Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, Moscow, Russia.ORCID 0009-0005-8700-1536 Marina DyachkovaLopukhin Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, Moscow, Russia.ORCID 0000-0003-1337-6237 Maxim MorozovLopukhin Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, Moscow, Russia.ORCID 0000-0001-6128-0921 Vladimir VeselovskyLopukhin Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, Moscow, Russia.ORCID 0000-0002-4336-9452 Vera KanaevaLopukhin Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, Moscow, Russia.ORCID 0009-0005-7214-2504 Dmitry KalininA.V. Vishnevsky National Medical Research Center of Surgery of the Russian Ministry of Healthcare, Moscow, Russia.ORCID 0000-0001-6247-9481 Andrey LarinLopukhin Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, Moscow, Russia.ORCID 0000-0002-9429-792X Egor ShitikovLopukhin Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, Moscow, Russia.ORCID 0000-0002-4865-6004 Ksenia KliminaLopukhin Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, Moscow, Russia.ORCID 0000-0002-5563-644X Funding
No grant is acknowledged in the PubMed record.
6 · The paper itselfAbstract
Melanoma is an aggressive malignancy with a significant risk of mortality. In recent years, treatment strategies have undergone a paradigm shift with the advent of immunotherapy, particularly immune checkpoint inhibitors (ICIs). Despite notable clinical success, a substantial proportion of patients fail to respond or eventually develop resistance to ICIs. Emerging evidence highlights the gut microbiota as a critical modulator of host immune responses and is one of the potential determinants of immunotherapy efficacy. We performed a cross-cohort analysis of gut microbiome profiles from melanoma patients treated with ICIs. The study integrated the first Russian cohort (62 patients) with six previously published international datasets, comprising a total of 490 patients across seven cohorts. In all cases, metagenomic sequencing was performed using various Illumina platforms, and raw sequencing data were processed using a unified bioinformatic pipeline. Analysis revealed 527 metagenome-assembled genomes (MAGs) significantly associated with treatment outcome: 239 with response and 288 with non-response. Notably, the species
Indexed as
BacteriaGastrointestinal MicrobiomeImmune Checkpoint InhibitorsImmunotherapyMelanomaAdultAgedCohort StudiesFemaleHumansMaleMetagenomeMetagenomicsMiddle AgedRussiaTreatment OutcomeImmune Checkpoint Inhibitorsbacterial predictors of immunotherapygut microbiotaimmune checkpoint inhibitorsMelanomametagenome sequencingmicrobiome markersrussian patient
Identifiers
PMID42298353
PMCPMC13274128
What OpenQuestion holds
Textmetadata
LicenceCC BY
Read underepoch 390