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Hypoxia Inducible Factor 1a (HIF-1a) Regulates CD20 Expression in Lymphoma Cells: Possible Implications for Rituximab Based Therapy in Diffuse Large B Cell Lymphoma (DLBCL).

2009· article· en· W2550863734 on OpenAlexaff
Sairah Ahmed, Andrew M. Evens, Savita Bhalla, Amareshwar T.K. Singh, C David James, Shuo Yang, Sheila Prachand, Danijela Đokić, Randy D. Gascoyne, Jane N. Winter, Leo I. Gordon

Bibliographic record

VenueBlood · 2009
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer, Hypoxia, and Metabolism
Canadian institutionsBC Cancer Agency
Fundersnot available
KeywordsCHOPLymphomaCancer researchDiffuse large B-cell lymphomaFollicular lymphomaRituximabCD20Internal medicineAngiogenesisMedicineBCL10BiologyOncology

Abstract

fetched live from OpenAlex

Abstract Abstract 1698 Poster Board I-724 Background HIF-1á is a transcription factor that regulates gene expression in response to decreases in cellular oxygenation (hypoxia). Genes activated by HIF are involved in glycolysis, glucose transport, angiogenesis, cell proliferation, cell migration, cell metabolism, and cell survival. Many of these genes confer protection against the consequences of oxygen deprivation while others enhance resistance to chemotherapy or radiotherapy. Clinically, evidence of elevated HIF-1á protein correlates with poor prognosis in lung, breast, colorectal, brain, pancreatic, ovarian, renal and bladder cancers. Our prior data found that constitutive expression of HIF-1á is enhanced in a set of established lymphoma cell lines (Evens et al, BJH, 2008), underscoring the potential impact of HIF in lymphoma. We also found that HIF-1á was stabilized in lymphoma specimens from patients with follicular lymphoma and DLBCL. These observations highlight a potential importance of HIF in tumor progression, but the full significance of HIF in lymphoma is not yet known. We recently reported that in 153 patients treated with either CHOP or R-CHOP, HIF-1á expression correlated with improved outcome only in patients who were treated with R-CHOP, and was a significant independent prognostic factor in the R-treated patients (Evens et al, JCO, in press, 2009). Based on these clinical observations and other data that showed density of CD20 expression correlated with outcome in DLBCL treated with R-CHOP, we hypothesized that there may be an important biological interaction between CD20 and HIF or downstream genes regulated by HIF. Methods We therefore investigated the relationship between HIF-1á, hypoxia, and CD20 expression in the DLBCL cell line SUDHL4. SUDHL4 cells were treated for 4 hours in normoxic and hypoxic conditions (with and without cobalt chloride, a hypoxia mimetic), or in hypoxia chambers (1.5% oxygen). Western blotting was used to measure HIF-1á expression and CD20 expression, while flow cytometry was used to quantify CD20 density. To on CD20 expression, we further investigate the contribution of HIF-1á downregulated HIF-1á with the targeted anti-HIF-1á small molecule inhibitor, PX-478, then subsequently measured CD20 expression by Western blotting. Results SUDHL4 cells were incubated with and without cobalt chloride for 24 hours and CD20 expression was measured. Compared with normoxic controls, a 2-fold increase (1.69-2.36) in CD20 expression was observed (by flow cytometric analysis) in the SUDHL4 cells incubated with cobalt chloride. SUDHL4 cells were next pre-incubated with PX-478 for 4 hours at increasing concentrations from 5-25 μM followed by 20 hour incubation in normoxia (20% oxygen) or hypoxia (1.5% oxygen). We found expected dose-dependent decreases in HIF-1á levels. Furthermore, we demonstrated a concomitant decrease in the level of CD20 expression in cells incubated under hypoxic conditions with increasing concentrations of PX-478 (see Figure below). Interestingly, much less alteration of CD20 was noted in cells incubated under normoxic conditions. Conclusions These data demonstrate for the first time that HIF-1á may regulate CD20 expression in lymphoma. These data also provide a potential explanation for the clinical observation that patients with DLBCL with increased HIF-1á expression have superior outcomes/survival when treated with R-CHOP, but not with CHOP. These findings may have implications for our understanding of the biology and treatment of DLBCL. Disclosures No relevant conflicts of interest to declare.

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How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

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)0.0030.000

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 head0.013
GPT teacher head0.250
Teacher spread0.237 · 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 source (direct Gemma or distilled Codex), 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".

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Citations3
Published2009
Admission routes1
Has abstractyes

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