Cross-platform transportability of ligand–receptor communication scores for prognosis in lung adenocarcinoma: a systematic benchmark of three scoring constructs across four cohorts

Abstract Ligand–receptor communication scores derived from bulk tumour transcriptomes have been proposed as prognostic markers in lung adenocarcinoma, but whether they survive a platform change has never been benchmarked head-to-head. We quantified communication competence for 2,459 measurable CellChatDB v2 pairs in four cohorts (1,355 tumours, 529 deaths) using three scoring constructs — a z-based construct (Z-CP), a rank co-elevation construct invariant to monotone transformations (RCE) and a cell-type-resolved construct built on marker-anchored deconvolution (CTRC) — with nested cross-validation, formal equivalence testing (two one-sided tests, margin ΔC = 0.05) and a graded platform-shift simulation. In the discovery cohort the constructs performed comparably (cross-validated C-index 0.543–0.585); in the three external cohorts every construct landed in the same modest band (C-index 0.46–0.56). RCE was statistically equivalent to Z-CP in both adequately powered cohorts (TOST p = 0.011 and 0.015) and directionally superior in a third; CTRC lost discovery power and bought no transport benefit. Under simulated platform shift all constructs degraded smoothly and comparably, with no rescue regime. Bulk-derived ligand–receptor scores transport weakly and construct-independently; future benchmarks should report formal equivalence rather than post hoc superiority claims.

Authors

Institutions

Publication Details

Journal
Research Square
Published
2026-11-04
DOI
https://doi.org/10.21203/rs.3.rs-11587680/v1
Primary Topic
Single-cell and spatial transcriptomics
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
preprint

Cross-platform transportability of ligand–receptor communication scores for prognosis in lung adenocarcinoma: a systematic benchmark of three scoring constructs across four cohorts

Ning Zhou
Research Square
Single-cell and spatial transcriptomics
preprint

Cross-platform transportability of ligand–receptor communication scores for prognosis in lung adenocarcinoma: a systematic benchmark of three scoring constructs across four cohorts

Ning Zhou
preprint en

Abstract

Abstract Ligand–receptor communication scores derived from bulk tumour transcriptomes have been proposed as prognostic markers in lung adenocarcinoma, but whether they survive a platform change has never been benchmarked head-to-head. We quantified communication competence for 2,459 measurable CellChatDB v2 pairs in four cohorts (1,355 tumours, 529 deaths) using three scoring constructs — a z-based construct (Z-CP), a rank co-elevation construct invariant to monotone transformations (RCE) and a cell-type-resolved construct built on marker-anchored deconvolution (CTRC) — with nested cross-validation, formal equivalence testing (two one-sided tests, margin ΔC = 0.05) and a graded platform-shift simulation. In the discovery cohort the constructs performed comparably (cross-validated C-index 0.543–0.585); in the three external cohorts every construct landed in the same modest band (C-index 0.46–0.56). RCE was statistically equivalent to Z-CP in both adequately powered cohorts (TOST p = 0.011 and 0.015) and directionally superior in a third; CTRC lost discovery power and bought no transport benefit. Under simulated platform shift all constructs degraded smoothly and comparably, with no rescue regime. Bulk-derived ligand–receptor scores transport weakly and construct-independently; future benchmarks should report formal equivalence rather than post hoc superiority claims.

Research Square
East China Normal University (CN)
Single-cell and spatial transcriptomics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon