Evidence map›Paper›PMID 36382571›Full record

ReviewSmall methods2022

Nanotheranostic Strategies for Cancer Immunotherapy.

Anh Nguyen, Sahana Kumar, Ashish A Kulkarni

Open access · greenAbstract readReview
In one paragraph

Review in Small methods, 2022. 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
1.4field-weighted citation impact, top 21% 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, 18 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Review
  6. 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

3 authors at 1 institution in 1 country.

Anh NguyenDepartment of Chemical Engineering, University of Massachusetts, Amherst, MA, 01003, USA.
Sahana KumarDepartment of Chemical Engineering, University of Massachusetts, Amherst, MA, 01003, USA.
Ashish A KulkarniDepartment of Chemical Engineering, University of Massachusetts, Amherst, MA, 01003, USA.ORCID 0000-0002-5713-2202
University of Massachusetts Amherst · US

Funding

Cellular Engineering Biotechnology Training ProgramT32GM108556 · NIGMS · UNIVERSITY OF MASSACHUSETTS AMHERST · PI HARDY, JEANNE ANN, PEYTON, SHELLY R. · 2015 to 2019
$766k
NIGMS NIH HHS T32 GM108556
6 · The paper itself

Abstract

Despite advancements in cancer immunotherapy, heterogeneity in tumor response impose barriers to successful treatments and accurate prognosis. Effective therapy and early outcome detection are critical as toxicity profiles following immunotherapies can severely affect patients' quality of life. Existing imaging techniques, including positron emission tomography, computed tomography, magnetic resonance imaging, or multiplexed imaging, are often used in clinics yet suffer from limitations in the early assessment of immune response. Conventional strategies to validate immune response mainly rely on the Response Evaluation Criteria in Solid Tumors (RECIST) and the modified iRECIST for immuno-oncology drug trials. However, accurate monitoring of immunotherapy efficacy is challenging since the response does not always follow conventional RECIST criteria due to delayed and variable kinetics in immunotherapy responses. Engineered nanomaterials for immunotherapy applications have significantly contributed to overcoming these challenges by improving drug delivery and dynamic imaging techniques. This review summarizes challenges in recent immune-modulation approaches and traditional imaging tools, followed by emerging developments in three-in-one nanoimmunotheranostic systems co-opting nanotechnology, immunotherapy, and imaging. In addition, a comprehensive overview of imaging modalities in recent cancer immunotherapy research and a brief outlook on how nanotheranostic platforms can potentially advance to clinical translations for the field of immuno-oncology is presented.

Indexed as

NeoplasmsQuality of LifeHumansImmunotherapyPositron-Emission TomographyTheranostic Nanomedicinecancerimagingimmunotherapynanotheranostics

Identifiers

PMID36382571
PMCPMC11056828
OpenAlexW4309118667

What OpenQuestion holds

Textmetadata
LicenceTDM
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.