ReviewImmunogenetics2019
Immune biomarkers for predicting response to adoptive cell transfer as cancer treatment.
Review in Immunogenetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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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.
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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.
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Who cites it
7 citing papers in PubMed.
- Combined Tumor Cell and Lysate-Based Vaccines for Immunotherapy of Primary and Recurrent Glioblastoma (GBM).Cancers · 2025Review
- The challenges and progress of CAR-T cell therapy in the treatment of solid tumors.Molecular and cellular biochemistry · 2025Review
- Emerging Approaches for Solid Tumor Treatment Using CAR-T Cell Therapy.International journal of molecular sciences · 2021Review
- Review
- TCR repertoire characteristics predict clinical response to adoptive CTL therapy against nasopharyngeal carcinoma.Oncoimmunology · 2021Article
- Kynurenic acid and cancer: facts and controversies.Cellular and molecular life sciences : CMLS · 2020Review
- Insights Into Lung Cancer Immune-Based Biology, Prevention, and Treatment.Frontiers in immunology · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Adoptive cell transfer (ACT) is a form of personalised immunotherapy which has shown promising results in metastasised cancer. For this treatment, autologous T lymphocytes are selected and stimulated in vitro before re-administration in large numbers. However, only a fraction of patients benefit from ACT, and it is not yet known what biomarkers can predict treatment outcome. In this review, we describe what tumour characteristics are associated with response to ACT. Based on the current knowledge, the best candidate biomarker for a good anti-tumour response seems to be a large number of neoantigens with a homogeneous distribution across the tumour in combination with sufficient MHC-I expression level. Additionally, it is necessary to be able to isolate a diverse population of T cells reactive to these neoantigens from tumour tissue or peripheral blood. Additional promising candidate biomarkers shared with other cancer immunotherapies are a large number of tumour-infiltrating cytotoxic and memory T cells, normal levels of glycolysis, and a pro-inflammatory cytokine profile within the tumour. Intense research in this field will hopefully result in identification of more biomarkers for cancers with low mutational load.
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Registered trials
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.