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Brain Metastasizing Breast Cancer Cell Secretome is Modulated by Endoplasmic Reticulum Stress

2021· article· en· W3167318461 on OpenAlexafffund
Maliha Munir, Aleksandra Głogowska, Donald W. Miller, Sabine Hombach‐Klonisch

Bibliographic record

VenueThe FASEB Journal · 2021
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEndoplasmic Reticulum Stress and Disease
Canadian institutionsUniversity of Manitoba
FundersCancer Research Society
KeywordsUnfolded protein responseEndoplasmic reticulumXBP1Cancer researchThapsigarginTriple-negative breast cancerBreast cancerWestern blotCancerBiologyMedicineChemistryInternal medicineCell biologyRNA splicingBiochemistryRNA

Abstract

fetched live from OpenAlex

Introduction Breast cancer is the second leading cause of brain metastasis. 30% of the patients suffering from Triple Negative Breast Cancer (TNBC) develop brain metastasis which confers poor prognosis to breast cancer patients. The mechanisms that facilitate brain metastasis are not fully understood. TNBC cells have high levels of endoplasmic reticulum stress (ER stress) and show activation of the IRE1 pathway of the Unfolded Protein Response (UPR). We showed that MDA‐231/BR cells, the brain metastatic subline of MDA‐MB‐231, have high endogenous levels of IRE1 activity suggesting this UPR pathway to support survival under ER stress. Our research investigates the role of the UPR IRE1 arm in formation of TNBC brain metastasis. Here, we present the effect of ER stress induction and IRE1 inhibition on PERK activation and cytokine secretion in MDA‐231/BR. Methods We used the brain metastatic triple‐negative cell model MDA‐231/BR to study the influence of IRE1 inhibition on other UPR pathways. ER stress was induced by serum‐starvation or pharmacologically with Thapsigargin (Tg). MKC8866, a highly selective non‐competitive inhibitor of IRE1 RNAse and splicing activity, was used at 10 μM. Successful inhibition IRE1 RNAse activity was assessed by Western blot detection of the spliced XBP1 protein (sXBP1). Modulation of the PERK activity upon ER stress induction and MKC8866 inhibition was determined by Western blot and with caspase‐3/7 apoptosis assays. Cell viability and cell migration was assessed by real time cell analysis. Cytokines secreted form MDA‐231/BR were determined. Brain endothelial cells were subjected to MDA‐231/BR conditioned media and cell viability assays. Gene expression changes of tight junctional proteins claudin‐3, claudin‐5 and occludin were quantified by qPCR. Results MDA‐231/BR cells show constitutive activation of the IRE1 RNAse arm which can be further induced upon serum starvation as well as low concentrations of Thapsigargin (Tg). The IRE1 RNAse inhibitor MKC8866 (10 μM) completely represses sXBP1 under basal and induced ER stress. However, the stressors show different downstream effects: unlike serum starvation, only Tg treatment activates the pro‐apoptotic PERK pathway. This is confirmed by reduced cell viability and increased apoptosis upon Tg treatment. Cytokine analysis from culture supernatants of ER stress‐induced MDA‐231/BR cells showed increased secretion of pro‐metastatic cytokines, some were independent of IRE1 activity. Brain endothelial cells exposed to MDA‐231/BR conditioned media did not show altered cell viability nor changes in tight‐junctional protein expression suggesting direct cell contacts to influence endothelial phenotypes. Conclusions This study showed that moderate ER stress induction by serum starvation, in contrast to pharmacological ER stress induction, does not induce pro‐apoptotic UPR activity in MDA‐231/BR cells. Increased MDA‐231/BR secreted cytokines are not affecting brain endothelial cell viability, proliferation or expression of tight junction proteins.

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 score0.002
Threshold uncertainty score0.006

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)0.0020.001

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 head0.006
GPT teacher head0.234
Teacher spread0.228 · 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

Citations0
Published2021
Admission routes2
Has abstractyes

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