Evidence map›Paper›PMID 29470785›Full record

ArticleTargeted oncology2018

The Abscopal Effect in the Era of Cancer Immunotherapy: a Spontaneous Synergism Boosting Anti-tumor Immunity?

Zuzana Hlavata, Cinzia Solinas, Pushpamali De Silva, Michele Porcu, Luca Saba, Karen Willard-Gallo, Mario Scartozzi

Abstract read
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In one paragraph

Article in Targeted oncology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

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

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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

7 authors.

Zuzana HlavataMedical Oncology Department, CHR Mons-Hainaut, Mons, Belgium.
Cinzia SolinasMolecular Immunology Unit, Institut Jules Bordet, Université Libre de Bruxelles, Bruxelles, Belgium. czsolinas@gmail.com.ORCID 0000-0001-6782-8708
Pushpamali De SilvaMolecular Immunology Unit, Institut Jules Bordet, Université Libre de Bruxelles, Bruxelles, Belgium.
Michele PorcuDepartment of Radiology, AOU of Cagliari, SS 554, Monserrato, CA, Italy.
Luca SabaDepartment of Radiology, AOU of Cagliari, SS 554, Monserrato, CA, Italy.
Karen Willard-GalloMolecular Immunology Unit, Institut Jules Bordet, Université Libre de Bruxelles, Bruxelles, Belgium.
Mario ScartozziMedical Oncology Department, AOU of Cagliari, SS 554, Monserrato, CA, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Radiotherapy is one of the main treatment strategies used in cancer. Aside from the local control of the disease, which is mediated by a direct cytotoxic effect on tumor cells, radiotherapy has also been shown to exert immune-mediated local and systemic effects. Radiotherapy can elicit anti-tumor responses in distant sites from the radiation field; this phenomenon is known as the abscopal effect and has been described in patients previously treated with immune checkpoint blockade (ICB). Considering that the efficacy of immunotherapy has been demonstrated only in a subset of patients-who often benefit with lasting responses-efforts are ongoing to potentiate its activity with the development of new combination strategies. Radiotherapy might represent a potential candidate for a synergistic combination with immunotherapy, by improving the immunogenicity of tumors and by enhancing local and systemic immune effects. This review aims to summarize the current pre-clinical and clinical data on the immune effects of radiotherapy and their potential implications for cancer immunotherapy.

Indexed as

Combined Modality TherapyHumansImmunotherapyNeoplasms

Identifiers

What OpenQuestion holds

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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.