Skip to content
DraconiticResearch
Search Sources API
194,161 studies31 sourcesUpdated 48 min ago
PreprintCC BY-NC-NDbioRxiv

Morphologic intratumoral heterogeneity from routine whole-slide histopathology is prognostic for survival in primary central nervous system lymphoma: development in the LOC Network and international external validation

30 more authors

Abstract

Background: Clinical scores incompletely capture outcomes in primary central nervous system lymphoma (PCNSL). We quantified morphologic heterogeneity in pretreatment hematoxylin and eosin (H\&E) whole slides. Patients and methods: Three independent cohorts of immunocompetent, HIV- and EBV-negative patients treated recently were analyzed: LOC 2023 (122 slides), phase III BLOCAGE-01 (245 slides; NCT02313389), and external Barcelona (BCN; 41 slides). UNI embeddings, prototype learning, spatial metrics, and elastic-net Cox regression defined ITH-C. Results: Models achieved bootstrap-corrected concordance of 0.797--0.834. Age-, sex-, and KPS-adjusted ITH-C HRs were 1.29 (95\% CI 1.01--1.64), 1.27 (1.07--1.51), and 2.13 (1.35--3.37), respectively. Adding ITH-C increased MSKCC C-index from 0.671 to 0.717, 0.560 to 0.593, and 0.588 to 0.706. Spatial transcriptomics linked ITH-C to immune programs. Conclusions: Routine H\&E encodes prognostic spatial heterogeneity in PCNSL. ITH-C complements clinical scores, supporting prospective risk stratification.

Related

  1. Probing biofilm development, stress response and heterogeneity—spectroscopic characterization of single and multi-species consortia
    Elena Yunda, Aleksandra Hagberg, Thibault Duteil +4
    npj Biofilms and MicrobiomesPeer-reviewedCC BY 4.0Full text1 citedMicrobiologyGeneral chemistryHAL
  2. Oxidative stress-driven cellular heterogeneity in Knee Osteoarthritis: scRNA-seq pinpoints SPP1 and CYBA for diagnostic development
    Yijiang Liu, Yiman Chi, Jiefeng Yin +1
    PLOS OnePeer-reviewedCC BY 4.0Full textMolecular biology & gene regulationCell biologyPLOSPMC
  3. Macrophage heterogeneity in breast cancer microenvironment and development of a prognostic model: exploring TFF1 as a novel therapeutic target
    Lin Chen, Zhiqiang Chen, Bailu Shi +2
    Cancer Immunology, Immunotherapy : CIIPeer-reviewedCC BY-NC-ND 4.0Full textImmunologyPMC
  4. Chronic Myeloid Leukemia Progressing to Early T-Cell Precursor Lymphoblastic Blast Phase Following Treatment Default: An Integrated Morphologic, Immunophenotypic, Cytogenetic, and Molecular Case Report
    Sushma Cherukuru, Surya Prakashrao, Sachin J +4
    CureusPeer-reviewedCC BYFull textGenetics & genomicsOncologyEurope PMCEurope PMCPMC
  5. Intratumoral microbiota-host gene associations characterize stage-associated microecological patterns in colorectal cancer
    Zhiyuan Chen, Wenxuan Gan, Fang Cao +11
    Frontiers in microbiologyPeer-reviewedCC BYFull textMicrobiologyEurope PMC
BibTeX
@misc{rosa2026morphologic,
  title = {{Morphologic intratumoral heterogeneity from routine whole-slide histopathology is prognostic for survival in primary central nervous system lymphoma: development in the LOC Network and international external validation}},
  author = {L. Rincon de la Rosa and N. Barillot and I. Hernandez-Verdin and R. Velasco and B. Mathon and S. Eimer and J. R. Vignes and A. Rousseau and J. Paillassa and G. Ahle and F. Lerintiu and E. Uro-Coste and L. Oberic and E. Tabouret and R. Appay and G. Gauchotte and L. Taillandier and J.-P. Marolleau and C. Adam and R. Ursu and S. Cuzzubbo and A. Schmitt and L. Nichelli and A. Pons-Escoda and F. Charlotte and F. Davi and M. Le Garff-Tavernier and S. Choquet and C. Soussain and N. Vidal and E. Gonzalez-Barca and F. Climent and P. Lopez and F. Drieux and E.-L. Veresezan and M. Heming and G. Meyer zu Hörste and O. Grauer and F. Jardin and K. Mokhtari and C. Houillier and Hoang-Xua},
  howpublished = {bioRxiv},
  year = {2026},
  month = aug,
  doi = {10.64898/2026.08.31.748241},
  url = {https://www.biorxiv.org/content/10.64898/2026.08.31.748241v1},
  note = {CC BY-NC-ND},
}
RIS
TY  - UNPB
TI  - Morphologic intratumoral heterogeneity from routine whole-slide histopathology is prognostic for survival in primary central nervous system lymphoma: development in the LOC Network and international external validation
AU  - L. Rincon de la Rosa
AU  - N. Barillot
AU  - I. Hernandez-Verdin
AU  - R. Velasco
AU  - B. Mathon
AU  - S. Eimer
AU  - J. R. Vignes
AU  - A. Rousseau
AU  - J. Paillassa
AU  - G. Ahle
AU  - F. Lerintiu
AU  - E. Uro-Coste
AU  - L. Oberic
AU  - E. Tabouret
AU  - R. Appay
AU  - G. Gauchotte
AU  - L. Taillandier
AU  - J.-P. Marolleau
AU  - C. Adam
AU  - R. Ursu
AU  - S. Cuzzubbo
AU  - A. Schmitt
AU  - L. Nichelli
AU  - A. Pons-Escoda
AU  - F. Charlotte
AU  - F. Davi
AU  - M. Le Garff-Tavernier
AU  - S. Choquet
AU  - C. Soussain
AU  - N. Vidal
AU  - E. Gonzalez-Barca
AU  - F. Climent
AU  - P. Lopez
AU  - F. Drieux
AU  - E.-L. Veresezan
AU  - M. Heming
AU  - G. Meyer zu Hörste
AU  - O. Grauer
AU  - F. Jardin
AU  - K. Mokhtari
AU  - C. Houillier
AU  - Hoang-Xua
PY  - 2026
DA  - 2026/08/31
PB  - bioRxiv
DO  - 10.64898/2026.08.31.748241
UR  - https://www.biorxiv.org/content/10.64898/2026.08.31.748241v1
AB  - Background: Clinical scores incompletely capture outcomes in primary central nervous system lymphoma (PCNSL). We quantified morphologic heterogeneity in pretreatment hematoxylin and eosin (H\&E) whole slides. Patients and methods: Three independent cohorts of immunocompetent, HIV- and EBV-negative patients treated recently were analyzed: LOC 2023 (122 slides), phase III BLOCAGE-01 (245 slides; NCT02313389), and external Barcelona (BCN; 41 slides). UNI embeddings, prototype learning, spatial metrics, and elastic-net Cox regression defined ITH-C. Results: Models achieved bootstrap-corrected concordance of 0.797--0.834. Age-, sex-, and KPS-adjusted ITH-C HRs were 1.29 (95\% CI 1.01--1.64), 1.27 (1.07--1.51), and 2.13 (1.35--3.37), respectively. Adding ITH-C increased MSKCC C-index from 0.671 to 0.717, 0.560 to 0.593, and 0.588 to 0.706. Spatial transcriptomics linked ITH-C to immune programs. Conclusions: Routine H\&E encodes prognostic spatial heterogeneity in PCNSL. ITH-C complements clinical scores, supporting prospective risk stratification.
ER  -