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Record W3202898318 · doi:10.30683/1927-7229.2019.08.10

Ra-SBRT is Potential Immune Adjuvant for Innate Immune Cell Populations in Advance Stage NSCLC Patients

2019· article· en· W3202898318 on OpenAlexvenueno aff
Arun Chairmadurai, Harish Chandra Goel, Sandeep Kumar Jain, Aklank Jain, Hridayesh Prakash

Bibliographic record

VenueJournal of Analytical Oncology · 2019
Typearticle
Languageen
FieldMedicine
TopicCancer Immunotherapy and Biomarkers
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineStage (stratigraphy)AdjuvantContext (archaeology)OncologyImmune systemLung cancerBystander effectRadiation therapyInternal medicineImmunotherapyLungCancerImmunology

Abstract

fetched live from OpenAlex

Bystander toxicity and tissue fibrosis are the major complications with conventional radiation therapy for cancer patients. In this context, we here propose RapidArc - Stereotactic Body Radiation Therapy (Ra-SBRT) as a non-invasive and immune adjuvant approach for the successful eradication of advance stage NSCLC. Ra-SBRT is highly focused and capable of destroying tumors with high grade metastatic lesions and spared normal tissues. Follow up of stage 4th NSCLC patient revealed that Ra-SBRT is potentially immunogenic which was evident by increased number of iNOS+ Tumor Associated macrophages (M1-TAM), Siglac-8+ eosinophils, basophils and subsequent prolongation of disease free survival of 4th stage NSCLC patients by 3 years. This study demonstrated M1 retuning potential of Ra-SBRT which is a pre-requisite of effective management of inoperable and highly metastatic tumors of lung with least or no bystander impact.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.362
Threshold uncertainty score0.654

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0010.000

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 head0.022
GPT teacher head0.341
Teacher spread0.320 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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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