In one paragraphArticle in Clinical cancer research : an official journal of the American Association for Cancer Research, 2025. 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
25 authors.
Jonathan D SchoenfeldDepartment of Radiation Oncology, Brigham and Women's Hospital and Dana-Farber Cancer Institute, Boston, Massachusetts.ORCID 0000-0002-5119-0401 Nilofer S AzadSidney Kimmel Comprehensive Cancer Center, Johns Hopkins University, Baltimore, Maryland.ORCID 0000-0002-9613-3988 Jacob GrossCenter for Biomedical Informatics & Information Technology, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.ORCID 0000-0002-4245-1155 Li ChenMolecular Characterization Laboratory, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research Inc., Frederick, Maryland.ORCID 0000-0001-7973-5912 Michael J OvermanDepartment of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.ORCID 0000-0001-5377-135X Latifa JacksonCenter for Biomedical Informatics & Information Technology, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.ORCID 0000-0002-0949-978X Donna BrunnquellCenter for Biomedical Informatics & Information Technology, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.ORCID 0009-0000-6250-4210 Xiangning BuCenter for Biomedical Informatics & Information Technology, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.ORCID 0000-0002-7992-8244 Christina CoppolaCenter for Biomedical Informatics & Information Technology, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.ORCID 0009-0009-9659-0482 Jennifer LeeCenter for Biomedical Informatics & Information Technology, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.ORCID 0000-0001-6630-1285 David SimsCenter for Biomedical Informatics & Information Technology, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.ORCID 0009-0005-9780-1641 Rebecca FuchsCenter for Biomedical Informatics & Information Technology, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.ORCID 0009-0005-9273-8612 Lauren GunastiDepartment of Radiation Oncology, Brigham and Women's Hospital and Dana-Farber Cancer Institute, Boston, Massachusetts.ORCID 0000-0002-5572-1628 David R PattonCenter for Biomedical Informatics & Information Technology, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.ORCID 0000-0003-3855-0166 Funding
Project-006U10CA180820 · NCI · ECOG-ACRIN MEDICAL RESEARCH FOUNDATION · PI Peter J ODwyer, MITCHELL D. SCHNALL · 2014 to 2026
$167.6MStatistics CoreU10CA180794 · NCI · DANA-FARBER CANCER INST · PI PAUL J CATALANO, CONSTANTINE A. GATSONIS · 2014 to 2026
$111.2MCancer Immune Monitoring and Analysis CenterU24CA224331 · NCI · DANA-FARBER CANCER INST · PI FRANK S HODI, Catherine Ju-Ying Wu · 2017 to 2026
$18.4MNCTN Lead Academic Participating Site at Dana-Farber/Partners Cancer CareUG1CA233180 · NCI · DANA-FARBER CANCER INST · PI Harold John Burstein · 2019 to 2026
$8.6MCancer Immunologic Data Commons (CIDC) Supplement RequestU24CA224316 · NCI · DANA-FARBER CANCER INST · PI CERAMI, ETHAN, MICHOR, FRANZISKA · 2017 to 2022
$6.8MNCTN LAPS at Johns HopkinsUG1CA233196 · NCI · JOHNS HOPKINS UNIVERSITY · PI DEBORAH K ARMSTRONG, Julie Renee Brahmer · 2019 to 2026
$4.6MNational Cancer Institute (NCI) U10CA180794National Cancer Institute (NCI) U10CA180820National Cancer Institute (NCI) U24CA224331NCI NIH HHS HHSN261201600002CNCI NIH HHS U10 CA180794NCI NIH HHS U10 CA180820NCI NIH HHS U24 CA224316NCI NIH HHS U24 CA224331NCI NIH HHS UG1 CA233180NCI NIH HHS UG1 CA233196
6 · The paper itselfAbstract
purposeMismatch repair-deficient (dMMR) tumors have demonstrated favorable responses to immune checkpoint inhibition targeting PD-1. However, more in-depth identification of predictors of response could further refine patient selection for immunotherapy treatment. PATIENTS AND
methodsWe undertook integrated evaluation performed on samples collected from 28 of 42 patients enrolled on the NCI-Molecular Analysis for Therapy Choice arm Z1D trial that evaluated PD-1 inhibition treatment with nivolumab in patients with noncolorectal dMMR tumors. Genomic analyses were performed using next-generation sequencing (NGS), whole-exome sequencing, and RNA sequencing and supplemented by multiplex immunofluorescence performed on tissue samples.
resultsIn this dMMR population, more extensive alterations of microsatellites as assessed by measures of NGS were associated with clinical benefit and tumor mutational burden. RNA sequencing further revealed associations between clinical benefit and immune infiltration index. Gene sets enriched in patients with clinical benefit included IFN signaling, antigen processing, and PI3K-AKT-mTOR signaling, whereas hedgehog signaling was found to be enriched in subjects lacking clinical benefit.
conclusionsThese genomic data highlight the importance of immune infiltration and antigen presentation in dMMR tumors that respond to immune checkpoint blockade. In addition, they suggest that, even within a dMMR population, NGS-based measures of microsatellite instability could serve as biomarkers of immunotherapy response.
Indexed as
Biomarkers, TumorDNA Mismatch RepairHigh-Throughput Nucleotide SequencingMicrosatellite InstabilityNeoplasmsNivolumabAdultAgedFemaleFollow-Up StudiesHumansImmune Checkpoint InhibitorsMaleMiddle AgedTreatment OutcomeBiomarkers, TumorImmune Checkpoint InhibitorsNivolumab
Identifiers
PMID39670863
PMCPMC11831103
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