Evidence map›Paper›PMID 20370546›Full record

ArticleExpert review of vaccines2010

When gene therapy meets adoptive cell therapy: better days ahead for cancer immunotherapy?

Michel Adamina

Abstract readComment
PubMed Publisher
In one paragraph

Article in Expert review of vaccines, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 44% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author at 1 institution in 1 country.

Michel AdaminaKlinik für Chirurgie, Kantonsspital St. Gallen, Rorschacherstrasse 95, 9007 St Gallen, Switzerland. michel.adamina@gmail.com
Kantonsspital St. Gallen · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Evaluation of: Johnson LA, Morgan RA, Dudley ME et al. Gene therapy with human and mouse T-cell receptors mediates cancer regression and targets normal tissues expressing cognate antigen. Blood 114(3), 535-546 (2009). Effective cancer immunotherapy requires large numbers of antitumor lymphocytes with effective homing and effector functions over a prolonged time. Adoptive cell therapy (ACT) has proven a promising immunotherapy approach by achieving clinical responses in patients bearing metastatic melanoma. ACT expands a cancer patient's own cytotoxic lymphocytes in vitro and reinfuses them in vivo. Identifying cytotoxic T lymphocytes directed against cancer cells can, however, be a tedious endeavor. The paper under evaluation overcomes this hurdle and proposes a highly effective gene therapy approach to transduce a patient's lymphocytes with a high-avidity T-cell receptor, thus turning reinfused lymphocytes into strong effector cells directed against cancer. Furthermore, transgenic mice were used to broaden the repertoire of human transduced T-cell receptor to evasive tumor-associated antigens. Patients bearing metastatic melanoma were successfully treated with ACT using peripheral blood lymphocytes transduced with Mart-1 and gp100 tumor-associated epitopes. Objective clinical response rates of 30 and 19% were obtained in patients treated with the human and mouse T-cell receptors, respectively. Gene-engineered cells persisted in all patients at high level for 1 month after treatment. These findings have two major implications: first, transgenic mice can be used to obtain high-avidity T-cell receptors specific for elusive tumor-associated antigens, bypassing the need for frustrating immunizations attempts. Second, a gene therapy approach to ACT allows for an efficient transduction of patient's lymphocytes into highly avid tumor-specific cytotoxic cells, eliminating the requirement for identification and selection of tumor-specific lymphocytes in individual patients. Taken together, these results mark a step towards standardized immunotherapy protocols open to all patients and that will be able to deliver consistent clinical results.

Identifiers

PMID20370546
OpenAlexW2141308811

What OpenQuestion holds

Textmetadata
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.