Evidence map›Paper›PMID 37009211›Full record

ArticleiScience2023

Tumor microenvironment mimicking 3D models unveil the multifaceted effects of SMAC mimetics.

Catarina Pinto, Ksenija Slavic-Obradovic, Daniela Fürweger, Barbara Thaler, Abdallah Souabni, Sebastian Carotta, Martin Aichinger, Ulrich Reiser, Maria Antonietta Impagnatiello, Iñigo Tirapu

Open access · goldAbstract read
In one paragraph

Article in iScience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.3field-weighted citation impact, top 19% of its field
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

6 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
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  5. 3D Tumor Model to Study Immune Cell Infiltration.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 1 institution in 1 country.

Catarina PintoCancer Immunology and Immune Modulation, Boehringer Ingelheim RCV GmbH & Co KG, Vienna, Austria.
Ksenija Slavic-ObradovicCancer Pharmacology and Disease Positioning, Boehringer Ingelheim RCV GmbH & Co KG, Vienna, Austria.
Daniela FürwegerCancer Immunology and Immune Modulation, Boehringer Ingelheim RCV GmbH & Co KG, Vienna, Austria.
Barbara ThalerCancer Immunology and Immune Modulation, Boehringer Ingelheim RCV GmbH & Co KG, Vienna, Austria.
Abdallah SouabniCancer Immunology and Immune Modulation, Boehringer Ingelheim RCV GmbH & Co KG, Vienna, Austria.
Sebastian CarottaCancer Cell Signaling, Boehringer Ingelheim RCV GmbH & Co KG, Vienna, Austria.
Martin AichingerCancer Pharmacology and Disease Positioning, Boehringer Ingelheim RCV GmbH & Co KG, Vienna, Austria.
Ulrich ReiserMedicinal Chemistry, Boehringer Ingelheim RCV GmbH & Co KG, Vienna, Austria.
Maria Antonietta ImpagnatielloGlobal BD&L, Boehringer Ingelheim RCV GmbH & Co KG, Vienna, Austria.
Iñigo TirapuCancer Immunology and Immune Modulation, Boehringer Ingelheim RCV GmbH & Co KG, Vienna, Austria.
Boehringer Ingelheim (Austria) · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Small molecule IAP antagonists - SMAC mimetics (SM) - are being developed as an anticancer therapy. SM therapy was demonstrated not only to sensitize tumor cells to TNFα-mediated cell death but also to exert immunostimulatory properties. Their good safety and tolerability profile, plus promising preclinical data, warrants further investigation into their various effects within the tumor microenvironment. Using

Indexed as

Biological sciencesCancerCancer systems biologySystems biology

Identifiers

PMID37009211
PMCPMC10064235
OpenAlexW4323816824

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.