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<p>Peripheral T-cell lymphoma (PTCL) exhibits a diverse clinical spectrum, necessitating methods to categorize patients based on genomic abnormalities or tumor microenvironment (TME) profiles. We conducted an integrative multiomics study in 129 PTCL patients, performing whole-exome sequencing and identifying three genetic subtypes: C1, C2, and C3. C2 was characterized by loss of tumor suppressor genes and chromosomal instability, while C1 and C3 shared T follicular helper (TFH)-related genomic alterations, with C3 also showing a high incidence of <i>IDH2</i> mutations and chromosome 5 gain. Compared to C1, survival was significantly worse in C2 (HR 2.52; 95% CI, 1.37–4.63) and C3 (HR 2.14; 95% CI, 1.17–3.89). We also estimated the proportions of immune cell fractions from the bulk RNA sequencing data using CIBERSORTx and classified TME signatures into the following hierarchical clusters: TME1 (characterized by increased B and TFH cells), TME2 (macrophages), and TME3 (activated mast cells). TME2 was associated with shorter survival (HR 3.4; 95% CI, 1.6–7.5) and was more frequent in C2 (64.3%) than in C1 (7.7%), whereas C1 had more TME3 signatures (80.8% vs. 28.6%). These findings highlight a significant relationship between genetic subtypes and TME signatures in PTCL, with important implications for clinical prognosis.</p>

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Discrete genetic subtypes and tumor microenvironment signatures correlate with peripheral T-cell lymphoma outcomes

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年3月31日

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  • Yasuhito Suehara,
  • Kana Sakamoto,
  • Manabu Fujisawa,
  • Kota Fukumoto,
  • Yoshiaki Abe,
  • Kenichi Makishima,
  • Sakurako Suma,
  • Tatsuhiro Sakamoto,
  • Keiichiro Hattori,
  • Takeshi Sugio,
  • Koji Kato,
  • Koichi Akashi,
  • Kosei Matsue,
  • Kentaro Narita,
  • Kengo Takeuchi,
  • Joaquim Carreras,
  • Naoya Nakamura,
  • Kenichi Chiba,
  • Yuichi Shiraishi,
  • Satoru Miyano,
  • Seishi Ogawa,
  • Shigeru Chiba,
  • Mamiko Sakata-Yanagimoto

摘要

Peripheral T-cell lymphoma (PTCL) exhibits a diverse clinical spectrum, necessitating methods to categorize patients based on genomic abnormalities or tumor microenvironment (TME) profiles. We conducted an integrative multiomics study in 129 PTCL patients, performing whole-exome sequencing and identifying three genetic subtypes: C1, C2, and C3. C2 was characterized by loss of tumor suppressor genes and chromosomal instability, while C1 and C3 shared T follicular helper (TFH)-related genomic alterations, with C3 also showing a high incidence of IDH2 mutations and chromosome 5 gain. Compared to C1, survival was significantly worse in C2 (HR 2.52; 95% CI, 1.37–4.63) and C3 (HR 2.14; 95% CI, 1.17–3.89). We also estimated the proportions of immune cell fractions from the bulk RNA sequencing data using CIBERSORTx and classified TME signatures into the following hierarchical clusters: TME1 (characterized by increased B and TFH cells), TME2 (macrophages), and TME3 (activated mast cells). TME2 was associated with shorter survival (HR 3.4; 95% CI, 1.6–7.5) and was more frequent in C2 (64.3%) than in C1 (7.7%), whereas C1 had more TME3 signatures (80.8% vs. 28.6%). These findings highlight a significant relationship between genetic subtypes and TME signatures in PTCL, with important implications for clinical prognosis.