Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 213

The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.

Anti-CD73 in Cancer Immunotherapy: Awakening New Opportunities

Open access
Antonioli, Luca, Yegutkin, Gennady G., Pacher, Pál, Blandizzi, Corrado, Haskó, György·2016·Trends in Cancer

Abstract

In recent years, cancer immunotherapy made significant advances due to a better understanding of the principles underlying tumor biology and immunology. In this context, CD73 is a key molecule, since via degradation of adenosine monophosphate into adenosine, endorses the generation of an immunosuppressed and pro-angiogenic niche within the tumor microenvironment that promotes the onset and progression of cancer. Targeting CD73 results in favorable antitumor effects in pre-clinical models and combined treatments of CD73 blockade with other immune-modulating agents (i.e. anti-CTLA-4 mAb or anti-PD1 mAb) is particularly attractive. Although there is still a long way to go, anti-CD73 therapy, through the development of CD73 monoclonal antibodies, can potentially constitute a new biologic therapy for cancer patients. In this review, we discuss the link between CD73 and the onset, development and spread of tumors, highlighting the potential value of this molecule as a target and as a novel biomarker in the context of personalized cancer therapy

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.trecan.2016.01.003

Cites

15 of 15 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 15 references

Cited by

See all 213

Metadata

Authors
Antonioli, L., Yegutkin, G. G., Pacher, P., Blandizzi, C., & Haskó, G.
Venue
Trends in Cancer
Publisher
Elsevier BV
Published
2016-02
Volume
2
Issue
2
Pages
95-109
ISSN
  • 2405-8025 (ISSN-L)
  • 2405-8033
OpenAlex
W2276522360
Cited by
213
References
15
FWCI
1.58
Type
journal article
Language
en
Open access
green

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Anti-CD73 in Cancer Immunotherapy: Awakening New Opportunities. https://app.cochat.ai/papers/10.1016/j.trecan.2016.01.003
The paper
Antonioli, L., Yegutkin, G. G., Pacher, P., Blandizzi, C., & Haskó, G. (2016). Anti-CD73 in Cancer Immunotherapy: Awakening New Opportunities. Trends in Cancer. https://doi.org/10.1016/j.trecan.2016.01.003

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.