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Preferential Induction of B Cell Apoptosis Using Photodynamic Therapy.

2004· article· en· W2548272203 on OpenAlexaff
Gorazd Krosl, Pascale Dubé, Nancy Dallaire, Marc Vaillancourt, Denis‐Claude Roy

Bibliographic record

VenueBlood · 2004
Typearticle
Languageen
FieldMedicine
TopicPhotodynamic Therapy Research Studies
Canadian institutionsHôpital Maisonneuve-Rosemont
Fundersnot available
KeywordsApoptosisProgrammed cell deathCD19Cancer cellMolecular biologyBiologyFlow cytometryCytotoxic T cellCancer researchPhotodynamic therapyRhodamine 123ChemistryCancerIn vitroBiochemistry

Abstract

fetched live from OpenAlex

Abstract Apoptotic cell death in cancer cells promotes antigen presentation and favors the development of an anti-tumor vaccination effect. While lymphoma cells can easily be obtained from lymph nodes or peripheral blood, these malignant cells usually co-localize with normal hematopoietic T lymphocytes, rendering the selective induction of apoptosis in malignant B cells particularly difficult. We have found that photodynamic therapy (PDT) using the photosensitizer 4–5 dibromorhodamine methyl ester (TH9402) and visible light (514 nm) can be used to preferentially eliminate malignant B-lineage non-Hodgkin’s lymphoma cells (mean of 3–4 logs) over T lymphocytes. As a rhodamine derivative, TH9402 cellular efflux is mediated through the P-glycoprotein (Pgp) pump. However, the preferential elimination of B cells over resting T cells could not be ascribed to Pgp inactivation and we found no difference in intracellular retention of TH9402 between B and T cells. In order to understand the molecular events leading to such high B cell susceptibility to PDT, we then investigated the nature of death pathways involved. To determine whether apoptosis was the preponderant mechanism leading to the rapid elimination of B cells, we measured the binding of Annexin V (AnnV) in 7-aminoactinomycin D (7AAD) negative (i.e. live) B and T cells using flow cytometry, and quantified DNA fragmentation and caspase 3 and 9 activity in isolated CD3+ and CD19+ PDT treated and untreated cells. We found that B cells demonstrated high levels of apoptosis after PDT, with 53±1.3% (mean±SE) AnnexinV+/7AAD- cells compared to 30±1.9% in T cells (p< 0.05). The extent of DNA fragmentation, as determined by the TUNEL reaction, was extensive in B cells (33.7±9.8%)(mean±SE) but not T cells (2.3±0.1%) when measured at 4 hours post PDT (p<0.01). After PDT, catalytic caspase 3 levels were also 4-fold higher in CD19+ cells than CD3+ cells (p<0.01). In contrast, caspase 9 levels remained low for both cell types. The induction of apoptosis translated into the elimination of more than 90% of B cells within 4 hours after PDT, while the majority of T cells were not affected. Importantly, similar elimination of B-lineage cell lines and patient cells was observed, using a limiting dilution assay, whether cells overexpressed the anti-apoptotic bcl-2 protein or not. Thus, these results indicate that the predominant caspase 3 apoptotic pathway is specifically implicated in PDT-induced B cell death, and its early activation explains the rapid and profound sensitivity of B lymphocytes to PDT. This strategy could promote tumor cell vaccination in the context of autologous TH9402-purged stem cell transplantation for patients with B-lineage malignancies. In addition, preferential B cell targeting could take advantage of the crucial immunomodulatory role of apoptosis for the treatment of patients with autoimmune B cell disorders.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.438

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.030
GPT teacher head0.299
Teacher spread0.269 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2004
Admission routes1
Has abstractyes

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