MedicinemedRxiv

Ranked by formulaVerdict: Notable

Genomic correlates with survival after treatment of oesophageal adenocarcinoma by surgery alone

New prognostic biomarkers for oesophageal adenocarcinoma (OAC) may help treatment planning as current staging does not accurately predict survival for many patients.

By Trinh, Udumanne, Lord +14

Score█████░░░░░4.6

Key numbers

  • 88% were male
  • 14% stage 1
  • 14% stage 2

Caveats

  • Not randomized: its findings are associations.
  • Preprint; not yet peer reviewed.

VerdictWorth a reader's time today.

Read the originalPDF

Abstract

New prognostic biomarkers for oesophageal adenocarcinoma (OAC) may help treatment planning as current staging does not accurately predict survival for many patients. We used a 451 cancer-associated gene panel to assess genomic alterations associated with survival for a cohort of 65 OAC patients who underwent surgical resection without perioperative treatment, reflecting institutional practice at the time. Median age at operation was 72 years, 88% were male, median 32 lymph nodes were removed per patient, and minimum follow-up exceeded 11 years. TNM stages (pTNM, 8th ed.) were 14% stage 1, 14% stage 2, 45% stage 3, and 6% stage 4 (non-locoregional nodal metastases). Copy number changes were common, and somatic mutations were similar to those reported previously. Genetic associations with worse survival included amplification of CCND1 (HR=3.08, p=0.02), EGFR (HR=2.98, p=0.01), loss of ARID2 (HR=2.12, p=0.05), KMT2D (HR=1.99, p=0.07) and missense mutation within RYR1 (HR=2.68, p=0.01). This study identifies candidate genomic prognostic biomarkers in OAC using a cohort treated by surgery alone, enabling assessment of tumour biology independent of the confounding effects of peri-operative systemic therapy and radiotherapy. Several of the identified alterations are potentially targetable, supporting further investigation of genomic profiling to refine prognostication and guide treatment selection.

A. Trinh, T. P. Udumanne, S. J. Lord, D. Falkenback, A. J. Levert-Mignon, Y. J. Liew, D. Pascovici, M. J. Bourke, J. P. Grady, M. McCabe, M. M. Naeini, A. Joshua, M. Barnet, L. D. Goldstein, J. Ross, J. Johansson, R. V. Lord

The editor's rubric

Heuristic review

Leverage2 / 5
Reusable within one subfield (a technique, dataset, or protocol a few groups will adopt).
10% of this desk’s rubric
Magnitude3 / 5
Large gain: roughly 2x, or a clear new state of the art on a hard, unsaturated problem.
20% of this desk’s rubric
Evidence3 / 5
Solid: multiple benchmarks or cohorts, ablations, fair baselines, released code or data.
32% of this desk’s rubric
Novelty2 / 5
A new combination of known ideas.
8% of this desk’s rubric
Trajectory2 / 5
Some room to improve with obvious engineering.
5% of this desk’s rubric
Stakes3 / 5
Meaningful benefit to many people within a few years.
25% of this desk’s rubric

Editor’s rationale

Heuristic triage from title and abstract text only, not a reading of the paper. Cues found: gains (outperforms); novelty (open problem); verification (p-value, independent replication); stakes (mortality, major disease, prevention or cure). Red flags: not randomized.

How the score was computed

rank-2026-10-18

Score█████░░░░░4.6

Score = 10 × (80% × adjusted merit / 10 + 10% × attention + 10% × freshness)

Desks place stronger verdicts first, then use this score to order work within the same verdict.

Merit
5.5 / 10
Weighted rubric, evidence-gated.
Adjusted merit
4.7 / 10
Shrunk toward the desk prior by editor confidence (44%).
Attention
0%
Citations, upvotes, points, mentions.
Freshness
85%
Half-life decay since publication.

No attention signals recorded yet.

The record

  • Reviewed by heuristic-v7 on Oct 18, 2026, 06:17 UTC. Paper type: clinical.
  • Categories: oncology
  • BRIEF, No.5 in the Medicine edition of October 18, 2026.