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Role of the oral and gut microbiota as a biomarker in locoregionally advanced oropharyngeal squamous cell carcinoma (ROMA LA-OPSCC).

2019· article· en· W2947046925 on OpenAlexaff
M. Oliva Bernal, Pierre H. H. Schneeberger, Rachel Taylor, Victor Rey, Aaron R. Hansen, Kirsty Taylor, Andrew Bayley, Andrew Hope, Ali Hosni, Scott V. Bratman, Jolie Ringash, Ralph Gilbert, Ilan Weinreb, Bayardo Perez‐Ordoñez, John Waldron, Wei Xu, David S. Guttman, Lillian L. Siu, Bryan Coburn, Anna Spreafico

Bibliographic record

VenueJournal of Clinical Oncology · 2019
Typearticle
Languageen
FieldMedicine
TopicHead and Neck Cancer Studies
Canadian institutionsToronto General HospitalUniversity Health NetworkPrincess Margaret Cancer CentreUniversity of Toronto
Fundersnot available
KeywordsMedicineMucositisInternal medicineGastroenterologyFusobacteriumRoseburiaVeillonellaPrevotellaFusobacterium nucleatumOncologyRadiation therapyPeriodontitisBacteroidesBiologyPorphyromonas gingivalisStreptococcus

Abstract

fetched live from OpenAlex

6045 Background: The ROMA LA-OPSCC ( NCT03759730) study prospectively evaluated the oral and gut microbiota in a single-centre cohort of LA-OPSCC patients (pts) receiving chemoradiotherapy (CRT). Methods: LA-OPSCC pts treated with definitive CRT (IMRT plus single-agent cisplatin) were eligible. Oral swabs over the tumor site and stool samples were collected at baseline and end of CRT (EOT). Taxonomic profiles were generated by 16S rRNA sequencing. ANOSIM/Kruskal-Wallis tests were used to identify differences between baseline and EOT samples. Results: A total of 96 samples were collected from 24 evaluable pts (100% compliance). Baseline characteristics: median age = 61 (range, 50-71); smoking status current/former/never = 5/11/8; HPV+/- = 23/1; stage I/II/III/IVA = 7/7/9/1; use of antibiotics = 12 pts. In oral swabs, decreased Shannon diversity ( p< 0.01) and changes in abundance (adjusted p value: q< 0.05) of multiple taxa including Prevotella, Veillonella, and Streptococcuswere observed at EOT vs baseline. Stool diversity did not differ between baseline and EOT ( p= 0.42), but abundance of Ruminoccocus and Roseburia decreased ( q< 0.05). CRT-associated changes remained significant when controlled for stage, smoking, antibiotics, cisplatin dose and mucositis grade ( p< 0.01). In HPV+ pts, stage I-II baseline oral swabs had higher relative abundance of Clostridium IV ( p= 0.02) and Escherichia ( p= 0.04) than stage III, which had higher Fusobacterium ( p =0.03) and Gemella ( p< 0.01). Relative abundance of Actinobacteria (p < 0.01), Proteobacteria (p < 0.01) and Firmicutes (p = 0.03) was higher in stool from stage III pts . Akkermansia muciniphila was present in 57% of the stage I-II stool samples, and 11% in stage III ( p= 0.04). Conclusions: CRT in LA-OPSCC is associated with increases in potentially pathogenic genera in the oropharynx. HPV+ stage III disease was associated with higher Fusobacterium in the oropharynx, which has been implicated in tumor metastases, and with decreased prevalence of the immunotherapy-response-associated species Akkermansia in stool. These preliminary observations suggest an opportunity for the evaluation of IO based therapies or manipulation of the gut microbiota in this patient population. Clinical trial information: NCT03759730.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
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 head0.042
GPT teacher head0.394
Teacher spread0.353 · 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 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".

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Citations8
Published2019
Admission routes1
Has abstractyes

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