Immune Checkpoint Inhibitors in Lung Cancer: Role of Biomarkers and Combination Therapies

Tun Zan Maung1, Huseyin Ekin Ergin2, Mehwish Javed1

  • 1Internal Medicine, California Institute of Behavioral Neurosciences and Psychology, Fairfield, USA.

Cureus
|June 17, 2020
PubMed

Insights

Immune checkpoint inhibitors (ICIs) significantly improve survival in lung cancer patients compared to chemotherapy. Biomarkers like PD-L1 expression and tumor mutational burden help predict response to these revolutionary treatments.

Area of Science:

  • Oncology
  • Immunotherapy
  • Biomarkers

Background:

  • Lung cancer remains a leading cause of cancer death globally with limited survival outcomes.
  • Traditional treatments offer limited efficacy, necessitating novel therapeutic strategies.
  • Immune checkpoint inhibitors (ICIs) targeting PD1, PDL1, and CTLA-4 have emerged as a breakthrough in cancer management.

Purpose of the Study:

  • To review the efficacy and controversies surrounding immune checkpoint inhibitors (ICIs) in lung cancer treatment.
  • To identify optimal patient populations and predictive biomarkers for ICI therapy.
  • To evaluate various combination strategies and neoadjuvant applications of ICIs.

Main Methods:

  • Comprehensive literature review of meta-analyses, randomized controlled trials, and cohort studies from PubMed (last five years).
  • Analysis focused on studies written in English.
  • Inclusion of diverse study designs to assess ICI efficacy and predictive biomarkers.

Main Results:

  • ICIs demonstrate significant overall survival benefits over traditional chemotherapy.
  • Higher PD-L1 expression and tumor mutational burden (TMB) correlate with increased response rates.
  • Neoadjuvant immunotherapy in resectable non-small cell lung cancer shows promising pathological response and downstaging rates.
  • Combination therapy (ICIs + chemotherapy) and combined ICIs (CTLA-4 + PD-1/PD-L1) improve progression-free survival.
  • EGFR/ALK-negative patients generally show better outcomes than EGFR/ALK-positive patients.

Conclusions:

  • ICIs represent a revolutionary advancement in lung cancer treatment, offering improved survival.
  • PDL1 expression, TMB, and EGFR/ALK mutations are key predictive biomarkers for ICI therapy.
  • Emerging biomarkers like gut microbiota and CD8 cell infiltration warrant further investigation for personalized treatment strategies.
  • Combination therapies and neoadjuvant approaches show promise, while combining ICIs with EGFR/ALK-TKIs is currently not recommended.

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