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April 5, 2026Cancer Research0 citations

Abstract 7273: Multiple primary cancers, metastatic recurrence, whole exome sequencing, mutational signature profiling

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BTB. TaylorSRSamuel Rivero-HinojosaNSNicole Scott

Key Points

  • This research aims to differentiate multiple primary cancers (MPC) from metastatic recurrence (MR) using genomic data.
  • Analyzed whole exome sequencing data from tumor tissues.
  • Compared tumor pairs from patients with MPCs and MR.
  • Evaluated shared genomic variants and mutation profiles.
  • Used concordance analyses including Jaccard index and VAF correlation.
  • MPC tumor pairs exhibited minimal somatic mutation overlap with a median Jaccard index of 0.00.
  • 77% of MPC pairs showed more than 2-fold differences in tumor mutational burden (TMB).
  • MR tumor pairs had significantly higher genomic similarity with a median Jaccard index of 0.352.
  • 61.9% of MR pairs demonstrated shared driver mutations, indicating clonal continuity.

Abstract

Abstract Background: Multiple primary cancers (MPC), wherein two or more synchronous or metachronous malignant tumors in the same or different organs are present within a single patient (pt), are observed in ∼10-25% of pts with cancer. Differentiating MPCs from metastatic disease has implications for staging, treatment selection and prognosis. Here, we evaluated whole exome sequencing (WES) data of tumor tissues from pts known to have MPCs and metastatic recurrence (MR). Methods: Pairs of distinct primary tumors from 76 pts with MPCs and primary/metastatic site tumor pairs from 134 pts with MR were compared. Tumor tissue WES was performed as part of either commercial circulating tumor DNA testing (SignateraTM, Natera, Inc) or AlteraTM Comprehensive Genomic Profiling (Natera, Inc). To enable intertumor comparison, normalization involved restricting variants to shared genomic regions (defined by a BED file) and normalizing variant allele frequencies in each sample by their respective median. Concordance analyses included shared variants (Jaccard index), VAF correlation coefficients, TMB comparisons (mut/Mb) and single-base substitution (SBS) mutational profile. Outlier pairs were identified by 5 mut/Mb TMB difference or Pearson VAF correlation 0.3. Results: MPC and MR cohorts had 44.7% and 48.9% males, respectively; median pt ages were 69 (40-90) years and 72 (39-90) years, respectively. No primary tumor pairs were from the same organ. MPC tumor pairs exhibited minimal somatic mutation overlap median Jaccard index = 0.00 (0.00-0.43), with only 5% of patients having 1 shared driver mutations. Nearly 77% (59/76) MPC tumor pairs had 2-fold differences in TMB. Additionally, the cosine similarity distribution of SBS mutational profiles across MPC tumor pairs was broad and relatively low median: 0.49 (0-0.95), indicating distinct mutagenic processes. In contrast, MR tumor pairs demonstrated markedly higher genomic similarity, with high proportion of shared mutations median Jaccard index = 0.352 (0- 0.965), high VAF correlations (mean Pearson r = 0.62) in shared mutations, and 1 shared driver mutations in 61.9% of tumor pairs. Further, MR presented a strongly right-skewed distribution of SBS mutational profiles cosine similarity median: 0.77 (0-0.98). TMB was largely concordant between MR paired tumors, though 15% of pairs exhibited divergence 5 mut/Mb. Conclusions: MPC and MR tumor pairs showed markedly distinct patterns of genomic concordance. MPC tumors have low mutation sharing and minimal similarity in mutational profiles, suggesting independent mutagenic processes. Conversely, MR tumors display high clonal continuity across all genomic metrics, indicating a shared origin. VAF correlation and mutational signature profiling provides a robust framework to molecularly distinguish MPCs from MR, addressing a critical unmet need in tumor classification and precision oncology. Citation Format: Brandie Taylor, Samuel Rivero-Hinojosa, Nicole Scott, Faraz Salmasi, Kevin Manage, Stephanie Woods, Charuta C. Palsuledesai, Ekaterina Kalashnikova, Angel Augusto Rodriguez, Minetta C. Liu. Multiple primary cancers, metastatic recurrence, whole exome sequencing, mutational signature profiling abstract. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 7273.

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Taylor et al. (2026) studied this question.

synapsesocial.com/papers/69d1fd73a79560c99a0a387ehttps://doi.org/10.1158/1538-7445.am2026-7273
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