Evidence map›Paper›PMID 23755371›Full record

ArticleFrontiers in oncology2013

Single cell functional proteomics for assessing immune response in cancer therapy: technology, methods, and applications.

Chao Ma, Rong Fan, Meltem Elitas

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.6field-weighted citation impact, top 30% 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

9 citing papers in PubMed, 37 citations in OpenAlex.

  1. Review
  2. Review
  3. Epigenetic Regulation inFrontiers in cell and developmental biology · 2021
    Review
  4. Review
  5. Article
  6. The role of proteomics in the age of immunotherapies.Mammalian genome : official journal of the International Mammalian Genome Society · 2018
    Review
  7. Review
  8. Article
  9. Article
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 3 institutions in 1 country.

Chao MaDivision of Physics, Mathematics and Astronomy, California Institute of Technology , Pasadena, CA , USA ; David Geffen School of Medicine, University of California , Los Angeles, CA , USA.
Rong Fan
Meltem Elitas
California Institute of Technology · USUniversity of California, Los Angeles · USYale University · US

Funding

The Cell-Of-Origin of Human CancersU54CA143798 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI MICHOR, FRANZISKA · 2009 to 2014
$11.2M
Detection of Protein Signal Transduction Signatures in Single CellsU01CA164252 · NCI · YALE UNIVERSITY · PI FAN, RONG, MILLER-JENSEN, KATHRYN · 2011 to 2013
$2.0M
Integrated Microchips for Informative Diagnosis of Cancer-immune InteractionsR00CA136759 · NCI · YALE UNIVERSITY · PI FAN, RONG · 2010 to 2012
$707k
NCI NIH HHS R00 CA136759NCI NIH HHS U01 CA164252NCI NIH HHS U54 CA143798
6 · The paper itself

Abstract

In the past decade, significant progresses have taken place in the field of cancer immunotherapeutics, which are being developed for most human cancers. New immunotherapeutics, such as Ipilimumab (anti-CTLA-4), have been approved for clinical treatment; cell-based immunotherapies such as adoptive cell transfer (ACT) have either passed the final stage of human studies (e.g., Sipuleucel-T) for the treatment of selected neoplastic malignancies or reached the stage of phase II/III clinical trials. Immunotherapetics has become a sophisticated field. Multimodal therapeutic regimens comprising several functional modules (up to five in the case of ACT) have been developed to provide focused therapeutic responses with improved efficacy and reduced side-effects. However, a major challenge remains: the lack of effective and clinically applicable immune assessment methods. Due to the complexity of antitumor immune responses within patients, it is difficult to provide comprehensive assessment of therapeutic efficacy and mechanism. To address this challenge, new technologies have been developed to directly profile the cellular immune functions and the functional heterogeneity. With the goal to measure the functional proteomics of single immune cells, these technologies are informative, sensitive, high-throughput, and highly multiplex. They have been used to uncover new knowledge of cellular immune functions and have been utilized for rapid, informative, and longitudinal monitoring of immune response in clinical anti-cancer treatment. In addition, new computational tools are required to integrate high-dimensional data sets generated from the comprehensive, single cell level measurements of patient's immune responses to guide accurate and definitive diagnostic decision. These single cell immune function assessment tools will likely contribute to new understanding of therapy mechanism, pre-treatment stratification of patients, and ongoing therapeutic monitoring and assessment.

Indexed as

antitumor immune responsecancer therapycytokineimmune assessmentimmune functionsingle cell method

Identifiers

PMID23755371
PMCPMC3665942
OpenAlexW1996477655

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.