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Record W2740242936 · doi:10.1158/1538-7445.am2017-4906

Abstract 4906: Sphingolipid regulates pro-inflammatory cytokines to subdue the neoplastic lesions in hepatocellular carcinoma

2017· article· en· W2740242936 on OpenAlexaff
Nabanita Chatterjee, Krishna Das Saha

Bibliographic record

VenueCancer Research · 2017
Typearticle
Languageen
FieldMedicine
TopicLiver Disease Diagnosis and Treatment
Canadian institutionsCancerCare Manitoba
Fundersnot available
KeywordsProgrammed cell deathCancer researchApoptosisBiologyPyroptosisInflammationProinflammatory cytokineHepatocellular carcinomaImmunologyPharmacologyMedicineBiochemistry

Abstract

fetched live from OpenAlex

Abstract Hepatocellular carcinoma (HCC), is the most leading cause of cancer-related death in all over the world (seems to more than 80% of death cases). It is frequently linked with continuous hepatocytes death, inflammatory cell infiltration, and compensatory liver regeneration with higher angiogenic rate. Considering the different signalling process during this tumorogenesis with the involvement of new ‘lead’ identification of different sources, desire to be less toxic and higher bioavailability. The use of live, attenuated or genetically compensated microbes or its cellular component(s) or metabolites has begun to emerge as a potential new approach in medicinal research to deliver bioactive entities. Thus, advancing our knowledge of such microbes-mediated therapy may suggest new avenues for therapeutic intervention in many fatal diseases. Lipid (LSPL-1) isolated from Leishmania donovani could induce apoptosis in human HepG2 (Hepatocellular carcinoma cell, human) cells, as characterized by phosphatydylserine serine exposure, DNA fragmentation, alteration of BaX/Bcl2 ratio with loss of mitochondrial membrane potential and cytochrome C release, activation of series of caspases and cleaved PARP. LSPL-1 also modulates the various transcription factors like NF-kb65, p53 through regulation of cell proliferation exerted the death cause. Moreover this study also focused that the LSPL-1 effectively suppressed diethylnitrosamine (DEN) induced liver inflammation and hyperplasia in murine also decline in lipid peroxidation and increase in enzymic antioxidants (SOD, CAT, GPx, GR and GST) status with improvement of their survival rate. It reduced the elevated level of cytokines including tumor necrosis factors, interleukins, interferon (alpha and gamma), and transforming growth factors in hepatocytes from liver fibrosis bearing mice. As evident from immunochemical analysis, inflamed hepatocytes and liver tissue may up regulated the various growth factors including EGF, HGF, endothline-1 regulation with promoting angiogenic activity via modulation of CD34, VEGF, HIF-1α expression and alteration of these changes were balanced by LSPL-1. So taken together, these finding indicated that, LSPL-1 may induce apoptosis and in hyper proliferating cancer cells via altering cytokines level with tumour growth regulation in carcinogen exposed rodent system. Note: This abstract was not presented at the meeting. Citation Format: Nabanita Chatterjee, Krishna Das Saha. Sphingolipid regulates pro-inflammatory cytokines to subdue the neoplastic lesions in hepatocellular carcinoma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 4906. doi:10.1158/1538-7445.AM2017-4906

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 integrity0.0000.001
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 head0.097
GPT teacher head0.385
Teacher spread0.288 · 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
Published2017
Admission routes1
Has abstractyes

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