Evidence map›Paper›PMID 29618496›Full record

SynthesisGut2019

Cell-centred meta-analysis reveals baseline predictors of anti-TNFα non-response in biopsy and blood of patients with IBD.

Renaud Gaujoux, Elina Starosvetsky, Naama Maimon, Francesco Vallania, Haggai Bar-Yoseph, Sigal Pressman, Roni Weisshof, Idan Goren, Keren Rabinowitz, Matti Waterman and 7 more

Abstract readMeta-Analysis
In one paragraph

Synthesis in Gut, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 124 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
124citing papers in PubMed, 4 pooled it
–field-weighted citation impact
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

124 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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64 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors.

Renaud Gaujoux *Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel.
Elina Starosvetsky *Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel.
Naama Maimon *Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel.
Francesco VallaniaDivision of Biomedical Informatics Research, Department of Medicine, Stanford University, Palo Alto, California, USA.
Haggai Bar-YosephDepartment of Gastroenterology, Rambam Health Care Campus, Haifa, Israel.
Sigal PressmanDepartment of Gastroenterology, Rambam Health Care Campus, Haifa, Israel.
Roni WeisshofDepartment of Gastroenterology, Rambam Health Care Campus, Haifa, Israel.
Idan GorenDepartment of Gastroenterology and Liver Diseases, IBD Center, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel.
Keren RabinowitzSackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
Matti WatermanDepartment of Gastroenterology, Rambam Health Care Campus, Haifa, Israel.
Henit YanaiDepartment of Gastroenterology and Liver Diseases, IBD Center, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel.
Iris DotanDepartment of Gastroenterology and Liver Diseases, IBD Center, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel.
Edmond SaboDepartment of Pathology, Rambam Health Care Campus, Haifa, Israel.
Yehuda Chowers *Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel.
Purvesh Khatri *Division of Biomedical Informatics Research, Department of Medicine, Stanford University, Palo Alto, California, USA.
Shai S Shen-Orr *Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel.
Israeli IBD research Network (IIRN)

Funding

Using a tonsil organoid system to probe conditions for the induction of protective antibody and T cell responses to influenza.U19AI057229 · NIAID · STANFORD UNIVERSITY · PI Mark Morris Davis · 2003 to 2026
$88.5M
Translational Incubator CoreU19AI109662 · NIAID · STANFORD UNIVERSITY · PI GLENN, JEFFREY S · 2014 to 2019
$28.6M
Vaccination and infection: indicators of immunological health and responsivenessU19AI090019 · NIAID · STANFORD UNIVERSITY · PI DAVIS, MARK MORRIS · 2010 to 2015
$17.3M
TrainingU54AI117925 · NIAID · STANFORD UNIVERSITY · PI MUSEN, MARK A · 2014 to 2018
$12.9M
Stanford Career Development Program in Omics of Lung DiseasesK12HL120001 · NHLBI · STANFORD UNIVERSITY · PI NICOLLS, MARK ROBERT, RABINOVITCH, MARLENE · 2013 to 2017
$1.3M
NHLBI NIH HHS K12 HL120001NIAID NIH HHS U19 AI057229NIAID NIH HHS U19 AI090019NIAID NIH HHS U19 AI109662NIAID NIH HHS U54 AI117925
6 · The paper itself

Abstract

objectiveAlthough anti-tumour necrosis factor alpha (anti-TNFα) therapies represent a major breakthrough in IBD therapy, their cost-benefit ratio is hampered by an overall 30% non-response rate, adverse side effects and high costs. Thus, finding predictive biomarkers of non-response prior to commencing anti-TNFα therapy is of high value.

designWe analysed publicly available whole-genome expression profiles of colon biopsies obtained from multiple cohorts of patients with IBD using a combined computational deconvolution-meta-analysis paradigm which allows to estimate immune cell contribution to the measured expression and capture differential regulatory programmes otherwise masked due to variation in cellular composition. Insights from this in silico approach were experimentally validated in biopsies and blood samples of three independent test cohorts.

resultsWe found the proportion of plasma cells as a robust pretreatment biomarker of non-response to therapy, which we validated in two independent cohorts of immune-stained colon biopsies, where a plasma cellular score from inflamed biopsies was predictive of non-response with an area under the curve (AUC) of 82%. Meta-analysis of the cell proportion-adjusted gene expression data suggested that an increase in inflammatory macrophages in anti-TNFα non-responding individuals is associated with the upregulation of the triggering receptor expressed on myeloid cells 1 (TREM-1) and chemokine receptor type 2 (CCR2)-chemokine ligand 7 (CCL7) -axes. Blood gene expression analysis of an independent cohort, identified TREM-1 downregulation in non-responders at baseline, which was predictive of response with an AUC of 94%.

conclusionsOur study proposes two clinically feasible assays, one in biopsy and one in blood, for predicting non-response to anti-TNFα therapy prior to initiation of treatment. Moreover, it suggests that mechanism-driven novel drugs for non-responders should be developed.

Indexed as

Predictive Value of TestsBiomarkersBiopsyHumansInflammatory Bowel DiseasesTreatment FailureTumor Necrosis Factor-alphaBiomarkersTumor Necrosis Factor-alphagene expressionIbdinfliximabmeta-analysistnf-alpha

Identifiers

PMID29618496
PMCPMC6580771

What OpenQuestion holds

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Registered trials

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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.