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Lugui Qiu

Publications and source records attributed to Lugui Qiu.

3 recordsLinked to original sources
PubMed2026

Circulating tumor cells identify a disseminated genomic high-risk phenotype within IMS-IMWG 2025 staging in newly diagnosed multiple myeloma.

The 2025 IMS-IMWG consensus genomic staging (CGS) system has improved genomic risk stratification in newly diagnosed multiple myeloma (NDMM), yet does not capture whether high-risk clones have acquired a disseminated phenotype. We investigated whether circulating tumor cells (CTC) refine CGS and enable longitudinal residual disease monitoring. We retrospectively analyzed 631 MM patients from the NICHE cohort (NCT04645199) who underwent CTC assessment across disease phases. Among 410 patients assessed at diagnosis, CTC were detectable in 63.9% and correlated with both bone marrow plasma cell infiltration and accumulation of high-risk cytogenetic abnormalities. In 359 NDMM patients with adequate follow-up, a cohort-derived CTC threshold of 0.38% independently predicted inferior progression-free survival (PFS) after multivariable adjustment. Importantly, CTC refined prognostic stratification specifically within the CGS high-risk subgroup. Patients with CGS high-risk/CTC-high disease had the shortest PFS, thereby defining a disseminated genomic high-risk phenotype comprising 12.4% (39/314) of evaluable NDMM patients. In follow-up cohorts, detectable CTC were associated with inferior outcomes in 127 patients assessed during non-progressive disease states, whereas combined CTC and bone marrow minimal residual disease assessment stratified outcomes in 120 patients with paired measurements. Overall, CTC-integrated CGS supports minimally invasive baseline risk stratification and longitudinal disease monitoring.

Journal Article↗
PubMed2026

Proteogenomic features define subtypes of mantle cell lymphoma.

Mantle cell lymphoma (MCL) is a biologically heterogeneous B-cell malignancy. Although genomics and transcriptomics have delineated parts of the MCL disease spectrum, proteomics remains largely unexplored. Here, we conducted a comprehensive proteogenomic analysis integrating genomics, transcriptomics, and proteomics on peripheral blood samples from 27 patients with MCL and 4 healthy donors to investigate the translational and posttranslational dimensions of MCL. Our study identified 1296 downregulated and 468 upregulated proteins in MCL cells. The splicing pathways were significantly upregulated at both the mRNA and protein levels, suggesting a critical role for aberrant RNA splicing in MCL pathogenesis. Integration of proteomic data with genetic aberrations revealed immunoglobulin heavy chain variable mutational status and CCND1 mutation are associated with distinctive transcriptomic and proteomic profiles, which correspond to significant differences in clinical outcomes. A multiomics molecular stratification model incorporating proteomic data showed superior predictive power for patient survival compared with single-omics models (concordance index, 0.83 vs 0.74). This study provides, to our knowledge, the first comprehensive proteogenomic profile of MCL, offering novel insights into its molecular mechanisms and clinical behavior. The identification of molecular subtypes and prognostic protein signatures underscores the potential of proteomics to guide precision medicine strategies for MCL.

Humans↗
PubMed2026

Evolution of tumor subclones and T-cell dynamics underlie variable ibrutinib responses in Waldenström macroglobulinemia.

To elucidate the molecular basis underlying differential responses and resistance to ibrutinib in Waldenström macroglobulinemia (WM), we conducted a prospective phase 2 trial of ibrutinib monotherapy in treatment-naïve patients. A total of 74 sequential bone marrow (BM) aspirates from 17 patients, collected from baseline through 48 treatment cycles, were profiled using single-cell multiomics. BM cells were segregated primarily into B-cell/plasma cell and T-cell compartments. Longitudinal clonal tracking of malignant B cells/plasma cells identified 3 distinct evolutionary patterns: evolution (early clone contraction with late clone expansion and increasing genomic complexity), devolution (early clone expansion with late clone contraction and genomic simplification), and no evolution (stable clonal architecture). The evolution pattern was strongly associated with disease progression, whereas devolution correlated with durable clinical response. Transcriptomic profiling of resistant clones enabled development and validation of the Waldenström ibrutinib prediction (WIP) score, which predicted treatment response at baseline. Within the WIP signature, LYN emerged as a key regulator; LYN knockdown or inhibition significantly increased WM cell sensitivity to ibrutinib, suggesting a rational combination strategy. In parallel, GZMB+ CD8+ effector-memory T cells expanded after treatment in patients with progressive disease and coexisted with tumor evolution. These cells exhibited persistently impaired cytotoxic programs (eg, GNLY), a dedifferentiated memory-like state, elevated PDCD1 expression, and reduced T-cell receptor diversity. Together, this study provides, to our knowledge, the first single-cell framework of tumor clonal evolution and T-cell dysfunction under ibrutinib in WM, introduces the WIP score as a predictive biomarker for treatment response, and identifies actionable tumor-intrinsic and immune mechanisms driving resistance. This trial was registered at www.ClinicalTrials.gov as NCT02604511.

Aged↗