Transcriptional regulatory network analysis identifies GRN as a key regulator bridging chemotherapy and immunotherapy

Seungyeul Yoo1, Ayushi S Patel2,3, Sarah Karam2,3

  • 1GeneDx, 333 Ludlow Street, North Tower, 6th Floor, Stamford, CT, 06902, USA.

PubMed

Insights

Granulin precursor (GRN) is identified as a key regulator in small cell lung cancer (SCLC). GRN-low patients benefit from chemotherapy and chemo-immunotherapy, while GRN-high patients show resistance, indicating GRN

Area of Science:

  • Oncology
  • Genomics
  • Immunotherapy

Background:

  • Small cell lung cancer (SCLC) is an aggressive subtype with initial response to etoposide and platinum (EP) chemotherapy, but resistance develops rapidly.
  • Current immunotherapies benefit only a subset of SCLC patients, with limited stratification methods and unclear resistance mechanisms.
  • Understanding SCLC genomics is crucial for identifying therapeutic targets and resistance biomarkers.

Discussion:

  • Granulin precursor (GRN) emerged as a regulatory hub associated with EP response in SCLC.
  • GRN expression levels correlate with treatment outcomes: GRN-low patients show improved survival with chemotherapy, while GRN-high patients exhibit resistance.
  • GRN's role extends to immunotherapy, with GRN-low tumors responding to chemo-immunotherapy, unlike GRN-high tumors.

Key Insights:

  • GRN overexpression confers EP resistance and suppresses neuroendocrine features in SCLC cells.
  • GRN and associated genes influence cancer cell immunogenicity, with high GRN expression in tumor-associated macrophages.
  • GRN acts as a potential biomarker for both chemo-resistance and immunotherapy resistance in SCLC.

Outlook:

  • Targeted therapies for GRN-low SCLC patients could enhance treatment efficacy.
  • New therapeutic strategies are required for GRN-high SCLC patients, who do not benefit from current chemo-immunotherapy.
  • GRN's role as a mediator between chemotherapy and immunotherapy resistance warrants further investigation for novel treatment approaches.

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