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Record W3210643297 · doi:10.1158/1055-9965.epi-21-0463

Molecular and Pathology Features of Colorectal Tumors and Patient Outcomes Are Associated with <i>Fusobacterium nucleatum</i> and Its Subspecies <i>animalis</i>

2021· article· en· W3210643297 on OpenAlex
Ivan Borozan, Syed Hassan Ejaz Zaidi, Tabitha A. Harrison, Amanda I. Phipps, Jiayin Zheng, Stephen Dongsoo Lee, Quang M. Trinh, Robert S. Steinfelder, Jeremy Adams, Barbara L. Banbury, Sonja I. Berndt, Stefanie Brezina, Daniel D. Buchanan, Susan Bullman, Yin Cao, Alton B. Farris, Jane C. Figueiredo, Marios Giannakis, Lawrence E. Heisler, John L. Hopper, Yi Lin, Xuemei Luo, Reiko Nishihara, Elaine R. Mardis, Nickolas Papadopoulos, Conghui Qu, Emma Reid, Stephen N. Thibodeau, Sophia Harlid, Caroline Y. Um, Li Hsu, Andrea Gsur, Peter T. Campbell, Steven Gallinger, Polly A. Newcomb, Shuji Ogino, Wei Sun, Thomas J. Hudson, Vincent Ferretti, Ulrike Peters

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCancer Epidemiology Biomarkers & Prevention · 2021
Typearticle
Languageen
FieldMedicine
TopicDiverticular Disease and Complications
Canadian institutionsCentre Hospitalier Universitaire Sainte-JustineLunenfeld-Tanenbaum Research InstituteUniversity Health NetworkOntario Institute for Cancer Research
FundersNational Cancer InstituteNational Institutes of HealthÖsterreichische ForschungsförderungsgesellschaftCancer Research UK
KeywordsFusobacterium nucleatumFusobacteriumSubspeciesMedicinePathologyBacteroidaceaeColorectal cancerInternal medicineBiologyCancerBacteriaGeneticsBacteroidesZoology

Abstract

fetched live from OpenAlex

Abstract Background: Fusobacterium nucleatum (F. nucleatum) activates oncogenic signaling pathways and induces inflammation to promote colorectal carcinogenesis. Methods: We characterized F. nucleatum and its subspecies in colorectal tumors and examined associations with tumor characteristics and colorectal cancer–specific survival. We conducted deep sequencing of nusA, nusG, and bacterial 16s rRNA genes in tumors from 1,994 patients with colorectal cancer and assessed associations between F. nucleatum presence and clinical characteristics, colorectal cancer–specific mortality, and somatic mutations. Results: F. nucleatum, which was present in 10.3% of tumors, was detected in a higher proportion of right-sided and advanced-stage tumors, particularly subspecies animalis. Presence of F. nucleatum was associated with higher colorectal cancer–specific mortality (HR, 1.97; P = 0.0004). This association was restricted to nonhypermutated, microsatellite-stable tumors (HR, 2.13; P = 0.0002) and those who received chemotherapy [HR, 1.92; confidence interval (CI), 1.07–3.45; P = 0.029). Only F. nucleatum subspecies animalis, the main subspecies detected (65.8%), was associated with colorectal cancer–specific mortality (HR, 2.16; P = 0.0016), subspecies vincentii and nucleatum were not (HR, 1.07; P = 0.86). Additional adjustment for tumor stage suggests that the effect of F. nucleatum on mortality is partly driven by a stage shift. Presence of F. nucleatum was associated with microsatellite instable tumors, tumors with POLE exonuclease domain mutations, and ERBB3 mutations, and suggestively associated with TP53 mutations. Conclusions: F. nucleatum, and particularly subspecies animalis, was associated with a higher colorectal cancer–specific mortality and specific somatic mutated genes. Impact: Our findings identify the F. nucleatum subspecies animalis as negatively impacting colorectal cancer mortality, which may occur through a stage shift and its effect on chemoresistance.

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.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.037
Threshold uncertainty score0.533

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0000.000

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 head0.019
GPT teacher head0.286
Teacher spread0.267 · 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