Evidence map›Paper›PMID 33298096›Full record

ReviewJournal of translational medicine2020

Non-invasive biomarkers for monitoring the immunotherapeutic response to cancer.

Sabah Nisar, Ajaz A Bhat, Sheema Hashem, Santosh K Yadav, Arshi Rizwan, Mayank Singh, Puneet Bagga, Muzafar A Macha, Michael P Frenneaux, Ravinder Reddy and 1 more

Open access · goldAbstract readReview
In one paragraph

Review in Journal of translational medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.5field-weighted citation impact, top 16% 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

13 citing papers in PubMed, 33 citations in OpenAlex.

  1. Review
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  3. Article
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  7. Article
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  11. Review
  12. Whole-body PET Imaging of T-cell Response to Glioblastoma.Clinical cancer research : an official journal of the American Association for Cancer Research · 2021
    Article
  13. Adaptive Cancer Therapy in the Age of Generative Artificial Intelligence.Cancer control : journal of the Moffitt Cancer Center
    Review
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

11 authors at 7 institutions in 3 countries.

Sabah NisarFunctional and Molecular Imaging Laboratory, Cancer Research Department, Sidra Medicine, P.O. Box 26999, Doha, Qatar.
Ajaz A BhatFunctional and Molecular Imaging Laboratory, Cancer Research Department, Sidra Medicine, P.O. Box 26999, Doha, Qatar.
Sheema HashemFunctional and Molecular Imaging Laboratory, Cancer Research Department, Sidra Medicine, P.O. Box 26999, Doha, Qatar.
Santosh K YadavFunctional and Molecular Imaging Laboratory, Cancer Research Department, Sidra Medicine, P.O. Box 26999, Doha, Qatar.
Arshi RizwanDepartment of Nephrology, AIIMS, New Delhi, India.
Mayank SinghDepartment of Medical Oncology, Dr. B. R. Ambedkar Institute Rotary Cancer Hospital (BRAIRCH), AIIMS, New Delhi, India.
Puneet BaggaDepartment of Diagnostic Imaging, St Jude Children's Research Hospital, 262 Danny Thomas Place, Memphis, TN, USA.
Muzafar A MachaWatson-Crick Centre for Molecular Medicine, Islamic University of Science and Technology, Awantipora, Jammu & Kashmir, India.
Michael P FrenneauxAcademic Health System, Hamad Medical Corporation, Doha, Qatar.
Ravinder ReddyCenter for Magnetic Resonance and Optical Imaging, Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, USA.
Mohammad HarisFunctional and Molecular Imaging Laboratory, Cancer Research Department, Sidra Medicine, P.O. Box 26999, Doha, Qatar. mharis@sidra.org.ORCID 0000-0002-4945-2935
Qatar Airways (Qatar) · QAAll India Institute of Medical Sciences Raipur · INDR. B.R.A. Institute Rotary Cancer Hospital · INHamad Medical Corporation · QAIslamic University of Science and Technology · INSt. Jude Children's Research Hospital · USUniversity of Pennsylvania · US

Funding

Sidra Medicine 5011041002Sidra Medicine 5071012001
6 · The paper itself

Abstract

Immunotherapy is an efficient way to cure cancer by modulating the patient's immune response. However, the immunotherapy response is heterogeneous and varies between individual patients and cancer subtypes, reinforcing the need for early benefit predictors. Evaluating the infiltration of immune cells in the tumor and changes in cell-intrinsic tumor characteristics provide potential response markers to treatment. However, this approach requires invasive sampling and may not be suitable for real-time monitoring of treatment response. The recent emergence of quantitative imaging biomarkers provides promising opportunities. In vivo imaging technologies that interrogate T cell responses, metabolic activities, and immune microenvironment could offer a powerful tool to monitor the cancer response to immunotherapy. Advances in imaging techniques to identify tumors' immunological characteristics can help stratify patients who are more likely to respond to immunotherapy. This review discusses the metabolic events that occur during T cell activation and differentiation, anti-cancer immunotherapy-induced T cell responses, focusing on non-invasive imaging techniques to monitor T cell metabolism in the search for novel biomarkers of response to cancer immunotherapy.

Indexed as

ImmunotherapyNeoplasmsBiomarkersBiomarkers, TumorHumansImmunologic FactorsT-LymphocytesTumor MicroenvironmentBiomarkersBiomarkers, TumorImmunologic FactorsCancer metabolismImaging biomarkersImmunotherapyT cellsTumor microenvironment

Identifiers

PMID33298096
PMCPMC7727217
OpenAlexW3113141739

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.