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Research ArticleOriginal Article
Open Access

Calcification-associated molecular traits and therapeutic strategies in hormone receptor-positive HER2-negative breast cancer

Yuwei Li, Yuzheng Xu, Caijin Lin, Xi Jin, Ding Ma and Zhiming Shao
Cancer Biology & Medicine May 2024, 21 (5) 400-415; DOI: https://doi.org/10.20892/j.issn.2095-3941.2023.0492
Yuwei Li
1Department of Breast Surgery, Fudan University Shanghai Cancer Center, Shanghai 200032, China
2Key Laboratory of Breast Cancer in Shanghai, Fudan University Shanghai Cancer Center, Shanghai 200032, China
3Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
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Yuzheng Xu
1Department of Breast Surgery, Fudan University Shanghai Cancer Center, Shanghai 200032, China
2Key Laboratory of Breast Cancer in Shanghai, Fudan University Shanghai Cancer Center, Shanghai 200032, China
3Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
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Caijin Lin
1Department of Breast Surgery, Fudan University Shanghai Cancer Center, Shanghai 200032, China
2Key Laboratory of Breast Cancer in Shanghai, Fudan University Shanghai Cancer Center, Shanghai 200032, China
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Xi Jin
1Department of Breast Surgery, Fudan University Shanghai Cancer Center, Shanghai 200032, China
2Key Laboratory of Breast Cancer in Shanghai, Fudan University Shanghai Cancer Center, Shanghai 200032, China
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Ding Ma
1Department of Breast Surgery, Fudan University Shanghai Cancer Center, Shanghai 200032, China
2Key Laboratory of Breast Cancer in Shanghai, Fudan University Shanghai Cancer Center, Shanghai 200032, China
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  • ORCID record for Ding Ma
  • For correspondence: dma09{at}fudan.edu.cn zhimin_shao{at}yeah.net
Zhiming Shao
1Department of Breast Surgery, Fudan University Shanghai Cancer Center, Shanghai 200032, China
2Key Laboratory of Breast Cancer in Shanghai, Fudan University Shanghai Cancer Center, Shanghai 200032, China
3Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
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  • ORCID record for Zhiming Shao
  • For correspondence: dma09{at}fudan.edu.cn zhimin_shao{at}yeah.net
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  • Schematic overview of the study design. A multi-omics cohort comprising 316 patients of breast cancer with mammography data. The cohort was stratified according to calcification features. Comparative analyses were conducted across clinicopathological characteristics, multi-omics dimensions, and precision therapeutic strategies.
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    Figure 1

    Schematic overview of the study design. A multi-omics cohort comprising 316 patients of breast cancer with mammography data. The cohort was stratified according to calcification features. Comparative analyses were conducted across clinicopathological characteristics, multi-omics dimensions, and precision therapeutic strategies.

  • Clinical characteristics and pathological patterns of different calcification groups. (A) The box plot shows tumor sizes among groups. The sample sizes for the calcification-negative, probably benign, and high suspicion groups were 103, 90, and 100, respectively. (B) The stacked bar chart compares the lymph node stages across groups. P values were calculated with Fisher’s exact test. The sample sizes for the calcification-negative, probably benign, and high suspicion groups were 103, 90, and 100, respectively. (C) The stacked bar chart shows the lympho-vascular invasion status across groups. P values were calculated with Fisher’s exact test. The sample sizes for the calcification-negative, probably benign, and high suspicion groups were 103, 90, and 100, respectively. (D) The box plot illustrates the ages among groups. The sample sizes for the calcification-negative, probably benign, and high suspicion groups were 103, 90, and 100, respectively. (E) The box plot shows the immunohistochemistry scores for ER, PR, and Ki-67. The sample sizes for the calcification-negative, probably benign, and high suspicion groups were 103, 90, and 100, respectively. (F) Relapse-free survival (RFS) among groups with endocrine therapy. P values were calculated from a two-stage test (probably benign vs. the others). (G) A stacked bar chart illustrates the calcification status for different recurrence outcomes. P values were calculated with Fisher’s exact test.
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    Figure 2

    Clinical characteristics and pathological patterns of different calcification groups. (A) The box plot shows tumor sizes among groups. The sample sizes for the calcification-negative, probably benign, and high suspicion groups were 103, 90, and 100, respectively. (B) The stacked bar chart compares the lymph node stages across groups. P values were calculated with Fisher’s exact test. The sample sizes for the calcification-negative, probably benign, and high suspicion groups were 103, 90, and 100, respectively. (C) The stacked bar chart shows the lympho-vascular invasion status across groups. P values were calculated with Fisher’s exact test. The sample sizes for the calcification-negative, probably benign, and high suspicion groups were 103, 90, and 100, respectively. (D) The box plot illustrates the ages among groups. The sample sizes for the calcification-negative, probably benign, and high suspicion groups were 103, 90, and 100, respectively. (E) The box plot shows the immunohistochemistry scores for ER, PR, and Ki-67. The sample sizes for the calcification-negative, probably benign, and high suspicion groups were 103, 90, and 100, respectively. (F) Relapse-free survival (RFS) among groups with endocrine therapy. P values were calculated from a two-stage test (probably benign vs. the others). (G) A stacked bar chart illustrates the calcification status for different recurrence outcomes. P values were calculated with Fisher’s exact test.

  • Genomic features of tumors in different calcification groups. (A) The box plot illustrates tumor mutational burden (TMB) scores among calcification groups. The sample sizes for the calcification-negative, probably benign, and high suspicion groups were 87, 77, and 87, respectively. (B) The box plot shows homologous recombination deficiency (HRD) scores across groups. The sample sizes for the calcification-negative, probably benign, and high suspicion groups were 93, 83, and 88, respectively. (C) The box plot shows the comparison of chromosomal instability (CIN) scores. The sample sizes for the calcification-negative, probably benign, and high suspicion groups were 93, 83, and 88, respectively. (D) The proportion of mutation signatures in each sample, on the basis of the Catalog of Somatic Mutations in Cancer (COSMIC) database. (E) Somatic mutations of the top mutated genes. Genes are ordered by total mutation frequency. P values were calculated with Fisher’s exact test (#P value < 0.1). (F) Somatic CNV among groups, and comparison between tumors with high suspicious calcifications and tumors in the other groups. The P values were calculated with Fisher’s exact test and adjusted for multiple comparisons with the Bonferroni method; the horizontal line in the bottom panel represents the adjusted P value of 0.05. (G) The CNV frequencies of cell cycle genes across groups. P values were determined with Fisher’s exact test.
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    Figure 3

    Genomic features of tumors in different calcification groups. (A) The box plot illustrates tumor mutational burden (TMB) scores among calcification groups. The sample sizes for the calcification-negative, probably benign, and high suspicion groups were 87, 77, and 87, respectively. (B) The box plot shows homologous recombination deficiency (HRD) scores across groups. The sample sizes for the calcification-negative, probably benign, and high suspicion groups were 93, 83, and 88, respectively. (C) The box plot shows the comparison of chromosomal instability (CIN) scores. The sample sizes for the calcification-negative, probably benign, and high suspicion groups were 93, 83, and 88, respectively. (D) The proportion of mutation signatures in each sample, on the basis of the Catalog of Somatic Mutations in Cancer (COSMIC) database. (E) Somatic mutations of the top mutated genes. Genes are ordered by total mutation frequency. P values were calculated with Fisher’s exact test (#P value < 0.1). (F) Somatic CNV among groups, and comparison between tumors with high suspicious calcifications and tumors in the other groups. The P values were calculated with Fisher’s exact test and adjusted for multiple comparisons with the Bonferroni method; the horizontal line in the bottom panel represents the adjusted P value of 0.05. (G) The CNV frequencies of cell cycle genes across groups. P values were determined with Fisher’s exact test.

  • Exploration of transcriptomic features and therapeutic strategies among calcification groups. (A) The stacked bar chart shows the composition of PAM50 subtypes across groups. P values were calculated with Fisher’s exact test. The sample sizes for the calcification-negative, probably benign, and high suspicion groups were 103, 89, and 98, respectively. (B) The stacked bar chart compares the composition of SNF subtypes across groups. P values were calculated with Fisher’s exact test. The sample sizes for the calcification-negative, probably benign, and high suspicion groups were 59, 51, and 59, respectively. (C) The heatmap shows the comparison of biomarker scores. P values were determined with Mann-Whitney Wilcoxon tests (one group vs. the others) (*P value < 0.05; **P value < 0.01; ***P value < 0.001). (D) The heatmap reveals the estimated abundance of 24 microenvironment cell types. (E) The box plot shows the single-sample gene set enrichment analysis (ssGSEA) scores for ER-associated pathways. The sample sizes for the calcification-negative, probably benign, and high suspicion groups were 102, 89, and 96, respectively. (F) The box plots illustrate the sensitivity scores for endocrine therapy among groups. The sample sizes for the calcification-negative, probably benign, and high suspicion groups were 102, 89, and 96, respectively. (G) The box plot shows the single-sample gene set enrichment analysis (ssGSEA) scores for cell cycle-associated pathways. The sample sizes for the calcification-negative, probably benign, and high suspicion groups were 102, 89, and 96, respectively. (H) The box plots compare the sensitivity scores for CDK4/6 inhibitors among groups. The sample sizes for the calcification-negative, probably benign, and high suspicion groups were 102, 89, and 96, respectively.
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    Figure 4

    Exploration of transcriptomic features and therapeutic strategies among calcification groups. (A) The stacked bar chart shows the composition of PAM50 subtypes across groups. P values were calculated with Fisher’s exact test. The sample sizes for the calcification-negative, probably benign, and high suspicion groups were 103, 89, and 98, respectively. (B) The stacked bar chart compares the composition of SNF subtypes across groups. P values were calculated with Fisher’s exact test. The sample sizes for the calcification-negative, probably benign, and high suspicion groups were 59, 51, and 59, respectively. (C) The heatmap shows the comparison of biomarker scores. P values were determined with Mann-Whitney Wilcoxon tests (one group vs. the others) (*P value < 0.05; **P value < 0.01; ***P value < 0.001). (D) The heatmap reveals the estimated abundance of 24 microenvironment cell types. (E) The box plot shows the single-sample gene set enrichment analysis (ssGSEA) scores for ER-associated pathways. The sample sizes for the calcification-negative, probably benign, and high suspicion groups were 102, 89, and 96, respectively. (F) The box plots illustrate the sensitivity scores for endocrine therapy among groups. The sample sizes for the calcification-negative, probably benign, and high suspicion groups were 102, 89, and 96, respectively. (G) The box plot shows the single-sample gene set enrichment analysis (ssGSEA) scores for cell cycle-associated pathways. The sample sizes for the calcification-negative, probably benign, and high suspicion groups were 102, 89, and 96, respectively. (H) The box plots compare the sensitivity scores for CDK4/6 inhibitors among groups. The sample sizes for the calcification-negative, probably benign, and high suspicion groups were 102, 89, and 96, respectively.

  • Exploratory analysis of metabolomic characteristics among calcification groups. (A) Pathway-based analysis of metabolomic changes among groups. The DA score captures the average gross changes for all metabolites in a pathway. A score of 1 indicates that all measured metabolites in the pathway increase, whereas a score of −1 indicates that all measured metabolites in a pathway decrease. (B) Differentially expressed metabolite correlation network based on polar metabolites with a >0.4 Spearman’s correlation, FDR < 0.05. Correlation networks were partitioned by a graph-clustering algorithm, and the average quantification of groups in the correlation networks is presented.
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    Figure 5

    Exploratory analysis of metabolomic characteristics among calcification groups. (A) Pathway-based analysis of metabolomic changes among groups. The DA score captures the average gross changes for all metabolites in a pathway. A score of 1 indicates that all measured metabolites in the pathway increase, whereas a score of −1 indicates that all measured metabolites in a pathway decrease. (B) Differentially expressed metabolite correlation network based on polar metabolites with a >0.4 Spearman’s correlation, FDR < 0.05. Correlation networks were partitioned by a graph-clustering algorithm, and the average quantification of groups in the correlation networks is presented.

Tables

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    Table 1

    Clinicopathological characteristics of the cohort

    Calcification-negativeProbably benignHigh suspicionP value
    n (%)n (%)n (%)
    N10390100
    Age, years (median)555852.5
    Breast density (%)0.011
     Entirely fatty8 (7.8)4 (4.4)1 (1.0)
     Extremely dense7 (6.8)1 (1.1)0 (0.0)
     Fibroglandular54 (52.4)54 (60.0)66 (66.0)
     Heterogeneously dense34 (33.0)31 (34.4)33 (33.0)
    Focal asymmetries (%)0.290
     Presence15 (14.6)21 (23.3)18 (18.0)
     Absence88 (85.4)69 (76.7)82 (82.0)
    Architectural distortion (%)0.371
     Presence40 (38.8)29 (32.2)42 (42.0)
     Absence63 (61.2)61 (67.8)58 (58.0)
    Lymph node status0.047
     Negative51 (49.5)50 (55.6)38 (38.0)
     Positive52 (50.5)40 (44.4)62 (62.0)
    Lympho-vascular invasion0.011
     Presence46 (44.7)30 (33.3)58 (58.0)
     Absence55 (53.4)56 (62.2)41 (41.0)
     Unknown2 (1.9)4 (4.4)1 (1.0)
    Grade0.183
     Grade I4 (3.9)1 (1.1)1 (1.0)
     Grade II67 (65.0)67 (74.4)64 (64.0)
     Grade III24 (23.3)18 (20.0)32 (32.0)
     Unknown8 (7.8)4 (4.4)3 (3.0)

    P values were estimated on the basis of Fisher’s exact test. P values less than 0.05 are displayed in bold.

    Supplementary Materials

    • Figures
    • Tables
    • [cbm-21-400-s001.pdf]
    • [cbm-21-400-s002.pdf]
    • [cbm-21-400-s003.xlsx]
    • [cbm-21-400-s004.xlsx]
    • [cbm-21-400-s005.xlsx]
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    Calcification-associated molecular traits and therapeutic strategies in hormone receptor-positive HER2-negative breast cancer
    Yuwei Li, Yuzheng Xu, Caijin Lin, Xi Jin, Ding Ma, Zhiming Shao
    Cancer Biology & Medicine May 2024, 21 (5) 400-415; DOI: 10.20892/j.issn.2095-3941.2023.0492

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    Calcification-associated molecular traits and therapeutic strategies in hormone receptor-positive HER2-negative breast cancer
    Yuwei Li, Yuzheng Xu, Caijin Lin, Xi Jin, Ding Ma, Zhiming Shao
    Cancer Biology & Medicine May 2024, 21 (5) 400-415; DOI: 10.20892/j.issn.2095-3941.2023.0492
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    Subjects

    • Breast cancer

    Keywords

    • HR+/HER2− breast cancer
    • mammographic calcifications
    • molecular features
    • precision treatment

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