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Tumor Discovery                                                   HRD genomic alterations in Chinese NSCLC



            genes often occur simultaneously, suggesting potential   of downregulated genes. This suggests that HRD-H may
            synergistic effects among  these genes.  Particularly, the   suppress certain transcriptional programs, potentially
            concurrent mutations in the ERCC3 and TSC2 genes, as   linked to genomic instability caused by homologous
            well as the co-mutations in the MSH6 and FANCM genes,   recombination defects. Heatmaps (Figure  2B and  D)
            demonstrated significant statistical importance (p<0.01)   validated these  findings, demonstrating consistent
            (Figure 1B).                                       expression patterns of DEGs across distinct samples. These
                                                               results highlight systematic transcriptomic disparities
            3.2. The relationship between clinicopathological   between HRD-H and HRD-L subgroups, underscoring
            characters and the HRD score in NSCLC              their potential as biomarkers for NSCLC stratification.
            To further illustrate the clinical value of HRD score
            in NSCLC, we analyzed the relationship between     3.3. Genetic alterations between HRD-H and HRD-L
            clinicopathological characteristics and HRD score   patients in LUAD
            (Figure  1A). Patients with advanced-stage (stage III and   To  gain  deeper  insights  into  the  genomic  alteration
            above) NSCLC are more likely to have high HRD scores   spectrum associated with the HRD phenotype in LUAD
            compared to those with early-stage (stage I and II) disease   patients, we assessed and contrasted the frequencies of
            (Table 1), but not in the TCGA cohort. Furthermore,   gene mutations between individuals classified within
            individuals with LUSC have a higher incidence of HRD than   HRD-H and HRD-L groups.  EGFR and  TP53 were the
            patients with LUAD, which was consistent with the TCGA   most commonly mutated genes in both the HRD-H and
            cohort. No significant differences in clinical characteristics,   HRD-L groups (Figure 3A). In the HRD-H group, 10 out of
            including age, smoking history, and gender, were observed   14 cases exhibited mutations in the EGFR gene. TP53 gene
            between HRD-H and HRD-L patients (Table 1).        was more frequently mutated in HRD-H than in HRD-L
              To further analyze the transcriptomic differences   patients (Figure 3B and Figure A1 in the Appendix).
            between HRD-H and HRD-L subgroups, RNA             3.4. Association between HRD status and PD-L1
            sequencing (RNA-seq) data from both the TCGA dataset   expression
            and our NSCLC cohort were analyzed. Volcano plots
            (Figure  2A and  C) revealed a higher number of DEGs   In our study, we assessed the PD-L1 expression status in
            in HRD-H compared to HRD-L, with a predominance    154 patients. Out of these patients, 36.4% (56/154) tested
                                                               positive for PD-L1 expression. We found that the positive
            Table 1. Clinical characteristics of HRD‑H and HRD‑L   rate of PD-L1 expression was significantly higher in the
            patients                                           HRD-H group compared to the HRD-L group in NSCLC
                                                               (Figure 4A and Figure A2 in the Appendix). Nevertheless,
            Characteristics  HRD‑H (n=19) HRD‑L (n=139)  p‑value  there was no correlation of HRD phenotype with PD-L1
            Age (%)                                 0.3354     expression in either the HRD-H or the HRD-L group in
             Young (≤60 years)  8 (42.11)  76 (54.68)          LUAD (Figure  4B). In addition, we analyzed the PD-L1
             Old (>60 years)  11 (57.89)  63 (45.32)           expression in the TCGA database. The TCGA PD-L1
            Gender (%)                              0.9999     expression data of LUSC and LUAD datasets were directly
                                                               pulled down from  the  UCSC  Xena  RPPA  TCGA hub.
                                                                                                             2
             Female          9 (47.37)   70 (50.36)            These data include 352 LUAD patients and 321 LUSC
             Male            10 (52.63)  69 (49.64)            patients. Since the PD-L1 status in the TCGA database
            Stage (%)                              ***<0.0001  cannot be classified as positive or negative, we examined
             Early (<III)    10 (55.56)  122 (93.13)           its relationship with HRD status by comparing numerical
             Late (≥III)     8 (44.44)    9 (6.87)             values. Our analysis revealed that in TCGA-LUAD, the
            Histology (%)                          **0.0032    mean protein expression of PD-L1 was significantly higher
             LUAD            14 (73.68)  126 (96.18)           in the HRD-H group compared to the HRD-L group
                                                               (Figure  4C). However, in TCGA-LUSC, there was no
             LUSC            5 (26.32)    5 (3.82)             significant difference observed (Figure 4D).
            Smoking (%)                             0.3075
             Yes             9 (47.37)   47 (33.81)            3.5. Kyoto Encyclopedia of Genes and Genomes
             No              10 (52.63)  92 (66.19)            (KEGG) pathway enrichment analysis in TCGA and
            Notes: **p<0.01, ***p<0.001.                       study cohorts
            Abbreviations: HRD-H: Homologous recombination deficiency-high;   KEGG pathway enrichment analysis of HRD-H and HRD-L
            HRD-L: Homologous recombination deficiency-low; LUAD: Lung
            adenocarcinoma; LUSC: Lung squamous cell carcinoma.  2    https://xenabrowser##net/datapages/


            Volume 4 Issue 3 (2025)                         37                           doi: 10.36922/TD025180032
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