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Record W2954192475 · doi:10.1158/1538-7445.am2019-4604

Abstract 4604: Kidney injury molecule-1 regulates metastasis in renal cell carcinoma

2019· article· en· W2954192475 on OpenAlexaff
Jasper C. Lee, Marie A. Sarabusky, Audrey Champagne, Fabrice Lucien, Lakshman Gunaratnam

Bibliographic record

VenueCancer Research · 2019
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRenal and related cancers
Canadian institutionsUniversité LavalWestern University
Fundersnot available
KeywordsExtravasationMedicineRenal cell carcinomaMetastasisPathologyKidneyCellCancerCancer researchInternal medicineBiology

Abstract

fetched live from OpenAlex

Abstract Over 30% of patients with renal cell carcinoma (RCC) present with metastases, with median survival of 2 years. Kidney injury molecule 1 (KIM-1) is a cell-surface glycoprotein expressed by >85% of RCC tumours and may serve as an early biomarker for RCC detection. Here we sought to determine if tumour KIM-1 plays a role in RCC cell extravasation and metastasis to lungs. Methods: We overexpressed KIM-1 in Renca cells (murine RCC) using stable transfection of an expression plasmid, or silenced endogenous KIM-1 in human 769-P and 786-O RCC cells using shRNA. We studied extravasation using the chorioallantoic membrane (CAM) model. We injected ~1x105 Renca or 769-P cells into blood vessels of chicken embryos (n=6), and measured percentage of cells that exited the capillary bed into surrounding spaces after 24 hours. To study lung metastasis, we injected ~5x105 Renca or 786-O cells intravenously through the tail vein of syngeneic BALB/c (n=10/group) or immune deficient Rag1-/- [BALB/c] (n=5/group) mice, and manually counted metastatic nodules in excised lungs after 17 days. Finally, we analyzed the publicly available Cancer Genome Atlas Illumina RNA-Seq dataset to determine if KIM-1 mRNA expression predicts overall survival in patients with clear cell RCC. Results: In CAM experiments, extravasation efficiency was significantly decreased in KIM-1pos 769-P cells compared to KIM-1neg 769-P cells (30.08% vs. 47.94%; p=0.0004), and in KIM-1pos Renca cells compared to KIM-1neg Renca cells (47.78% vs 60.73%; p=0.042). BALB/c mice injected with Kim-1pos Renca cells or Kim-1pos 786-O cells had significantly fewer lung metastases compared to mice injected with Kim-1neg Renca cells or Kim-1neg 786-O cells, respectively (257 vs 429, p=0.02; 131 vs 339 p=0.001). The inhibitory effect of KIM-1 expression in Renca and 786-O cells on numbers of lung metastases was similar in Rag1-/- mice, suggesting that the observed effects were not dependent on adaptive immunity. In the TCGA database, patients with the lowest vs. highest tertile of KIM-1 RCC expression has significantly higher mortality (unadjusted HR 1.82, 95% CI 1.23-2.70; p=0.0034). Conclusion: KIM-1 is a negative regulator of cell extravasation and inhibits the development of lung metastases in mice, and KIM-1 expression in human RCC may predict better survival. Deciphering the underlying mechanisms may lead to novel therapies. Citation Format: Jasper C. Lee, Marie A. Sarabusky, Audrey Champagne, Fabrice Lucien, Lakshman Gunaratnam. Kidney injury molecule-1 regulates metastasis in renal cell carcinoma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 4604.

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 score0.005
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.001

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 head0.020
GPT teacher head0.325
Teacher spread0.305 · 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
Published2019
Admission routes1
Has abstractyes

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