Evidence map›Paper›PMID 33601414›Full record

ReviewThe Journal of experimental medicine2021

The current landscape of single-cell transcriptomics for cancer immunotherapy.

Puneeth Guruprasad, Yong Gu Lee, Ki Hyun Kim, Marco Ruella

Open access · bronzeAbstract readReview
In one paragraph

Review in The Journal of experimental medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
2.8field-weighted citation impact, top 7% 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

36 citing papers in PubMed, 61 citations in OpenAlex.

  1. MACC1 in colorectal cancer: a claim-level evidence audit from metastasis driver to proposed microenvironmental regulator.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
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  14. Single-Cell Informatics for Tumor Microenvironment and Immunotherapy.International journal of molecular sciences · 2024
    Review
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  16. Liquid Biopsy: A Game Changer for Type 2 Diabetes.International journal of molecular sciences · 2024
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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

4 authors at 1 institution in 1 country.

Puneeth GuruprasadDepartment of Bioengineering, University of Pennsylvania, Philadelphia, PA.
Yong Gu LeeCenter for Cellular Immunotherapies, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA.
Ki Hyun KimCenter for Cellular Immunotherapies, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA.
Marco RuellaDepartment of Bioengineering, University of Pennsylvania, Philadelphia, PA.
University of Pennsylvania · US

Funding

Project 3: Combinatorial and gene-editing approaches to enhance the efficacy of CAR T cell therapy of multiple myeloma.P01CA214278 · NCI · UNIVERSITY OF PENNSYLVANIA · PI Joseph Anthony Fraietta · 2017 to 2026
$26.8M
Resistance To Targeted Immunotherapies:CART19 as a ParadigmR00CA212302 · NCI · UNIVERSITY OF PENNSYLVANIA · PI RUELLA, MARCO · 2018 to 2020
$608k
Resistance To Targeted Immunotherapies:CART19 as a ParadigmK99CA212302 · NCI · UNIVERSITY OF PENNSYLVANIA · PI RUELLA, MARCO · 2017 to 2018
$348k
NCI NIH HHS K99 CA212302NCI NIH HHS P01 CA214278NCI NIH HHS R00 CA212302
6 · The paper itself

Abstract

Immunotherapies such as immune checkpoint blockade and adoptive cell transfer have revolutionized cancer treatment, but further progress is hindered by our limited understanding of tumor resistance mechanisms. Emerging technologies now enable the study of tumors at the single-cell level, providing unprecedented high-resolution insights into the genetic makeup of the tumor microenvironment and immune system that bulk genomics cannot fully capture. Here, we highlight the recent key findings of the use of single-cell RNA sequencing to deconvolute heterogeneous tumors and immune populations during immunotherapy. Single-cell RNA sequencing has identified new crucial factors and cellular subpopulations that either promote tumor progression or leave tumors vulnerable to immunotherapy. We anticipate that the strategic use of single-cell analytics will promote the development of the next generation of successful, rationally designed immunotherapeutics.

Indexed as

ImmunotherapyRNA-SeqSingle-Cell AnalysisHumansNeoplasms

Identifiers

PMID33601414
PMCPMC7754680
OpenAlexW3115263453

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.