Evidence map›Paper›PMID 30841910›Full record

ArticleJournal for immunotherapy of cancer2019

Radiotherapy enhances responses of lung cancer to CTLA-4 blockade.

Anna Wilkins, Fiona McDonald, Kevin Harrington, Alan Melcher

Abstract readComment
In one paragraph

Article in Journal for immunotherapy of cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Elucidating DNA Damage-Dependent Immune System Activation.International journal of molecular sciences · 2025
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  5. NeoTRACK trial:BMJ open · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Anna WilkinsThe Royal Marsden NHS Foundation Trust, Fulham Road, London, SW3 6JJ, UK. anna.wilkins@icr.ac.uk.ORCID 0000-0002-0425-584X
Fiona McDonaldThe Royal Marsden NHS Foundation Trust, Fulham Road, London, SW3 6JJ, UK.
Kevin HarringtonThe Royal Marsden NHS Foundation Trust, Fulham Road, London, SW3 6JJ, UK.
Alan MelcherThe Royal Marsden NHS Foundation Trust, Fulham Road, London, SW3 6JJ, UK.

Funding

Cancer Research UK 21855
6 · The paper itself

Abstract

Formenti et al. have recently reported the clinical outcomes and translational readouts of a trial of the anti-CTLA-4 inhibitor, ipilimumab, in combination with palliative radiotherapy in 39 patients with non-small cell lung cancer. A radiological response was seen in 18% of patients and 31% of patients experienced disease control. These clinical outcomes appear to be superior to historical studies using ipilimumab alone and suggest that radiation may have triggered systemic, so-called abscopal, immune responses in some patients. Induction of interferon-beta (IFN-β) and maximal expansion and contraction of distinct T cell receptor clones were the most significant factors predicting response. Importantly, established predictive biomarkers of response to immunotherapy alone, including the expression of PD-L1 in diagnostic biopsies and tumour mutational burden, did not predict response. The report provides important human qualification of pre-clinical mechanistic insights indicating that abscopal responses can be generated with optimised radiotherapy fractionation schedules and anti-CTLA-4 inhibition. Additionally, an intriguing mechanism by which radiation can be immunogenic is described, namely radiation-induced transcriptional upregulation of neo-antigens.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsAntibodies, MonoclonalCTLA-4 AntigenHumansIpilimumabAntibodies, MonoclonalCTLA-4 AntigenIpilimumabAbscopal effectCTLA-4 blockadeIpilimumabNon-small cell lung cancer

Identifiers

PMID30841910
PMCPMC6404307

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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.