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Novel Evidence That Pituitary Gonadotropins Directly Stimulate Human Leukemic cells—studies on Myeloid Cell Lines and Primary Patient AML and CML Cells

2014· article· en· W2588526377 on OpenAlexaff
Ahmed Abdelbaset‐Ismail, Katarzyna Mierzejewska, Anna Janowska‐Wieczorek, A. Robert Turner, Mariusz Z. Ratajczak, Magda Kucia

Bibliographic record

VenueBlood · 2014
Typearticle
Languageen
FieldMedicine
TopicAcute Myeloid Leukemia Research
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsBiologyHaematopoiesisInternal medicineEndocrinologyMyeloidProgenitor cellLuteinizing hormoneMyeloid leukemiaStem cellPopulationCancer researchHormoneCell biologyMedicine

Abstract

fetched live from OpenAlex

Abstract Background . It has been postulated that hematopoietic stem/progenitor cells (HSPCs) can become specified from a population of migrating primordial germ cells (PGCs) isolated from embryos. In support of this intriguing possibility, HSPCs and PGCs are both highly migratory populations of stem cells, and evidence has accumulated for the sharing of several mutated genes (e.g., Sall4) as well as chromosomal aberrations between germline tumors and leukemias or lymphomas, which suggests their common clonal origin. In fact, we recently observed that normal murine HSPCs express several functional receptors for pituitary gonadal hormones, such as follicle-stimulating hormone (FSH), luteinizing hormone (LH), and prolactin (PRL), in addition to gonadal hormones including estrogens, androgen, and progesterone. Of note, the plasma levels of FSH and LH are elevated in older patients, which correlate with an increase in the incidence of myeloid leukemia. Hypothesis . Based on this, we have hypothesized that gonadotropic hormones play a yet underappreciated role in human malignant hematopoiesis. Materials and Methods . To address this issue, we performed a complex series of experiments employing human myeloid hematopoietic cell lines (KG-1a, K-562, U937, THP-1, HEL) and primary patient cells (AML, CML) to address the influence of pituitary sex hormones (FSH, LH, PRL) as well as gonadal sex hormones (androgen, estrogen, progesterone) on proliferation, migration, and adhesion of malignant cells. In addition, expression of the corresponding receptors was evaluated at the mRNA level by PCR, and their functionality was confirmed by signaling studies based on phosphorylation of major signal transduction pathways (AKT, MAPKp42/44, STAT). Results. We demonstrate for the first time that human myeloid leukemia cell lines express all pituitary gonadotropin and several gonadal hormone receptors and that FSH and LH receptors are functional on these cells, as evaluated by chemotaxis and adhesion assays. Moreover, FSH and LH receptors were expressed and functional on patient leukemic blasts in bone marrow (BM) and peripheral blood (PB). Human leukemic cells from cell lines and primary patient-derived cells also expressed some other gonadal hormone receptors (PRL-R, estrogen, progesterone, and androgen receptors), albeit at lower levels. Moreover, we observed that several human myeloid cell lines as well as primary patient leukemic cells responded to sex hormones by proliferation. Conclusions . Our data are the first to indicate that pituitary-secreted gonadotropins stimulate migration, adhesion, and proliferation of leukemic cells. This latter effect seems to be direct, as the receptors for these hormones respond to stimulation by phosphorylation of intracellular pathways involved in cell proliferation. Established human myeloid leukemia cell lines and primary patient blasts also responded to stimulation by gonadal sex hormones. Finally, our studies provide further evidence supporting a developmental link between hematopoiesis and the germline. Disclosures No relevant conflicts of interest to declare.

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 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 score0.004
Threshold uncertainty score0.014

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)0.0040.001

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 head0.040
GPT teacher head0.288
Teacher spread0.248 · 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".

Quick stats

Citations1
Published2014
Admission routes1
Has abstractyes

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