Small-Cell Lung Cancer Long-Term Survivor Patients: How to Find a Needle in a Haystack?

Int J Mol Sci. 2021 Dec 16;22(24):13508. doi: 10.3390/ijms222413508.

Abstract

Small-cell lung cancer (SCLC) is an aggressive malignancy characterized by a rapid progression and a high resistance to treatments. Unlike other solid tumors, there has been a scarce improvement in emerging treatments and survival during the last years. A better understanding of SCLC biology has allowed for the establishment of a molecular classification based on four transcription factors, and certain therapeutic vulnerabilities have been proposed. The universal inactivation of TP53 and RB1, along with the absence of mutations in known targetable oncogenes, has hampered the development of targeted therapies. On the other hand, the immunosuppressive microenvironment makes the success of immune checkpoint inhibitors (ICIs), which have achieved a modest improvement in overall survival in patients with extensive disease, difficult. Currently, atezolizumab or durvalumab, in combination with platinum-etoposide chemotherapy, is the standard of care in first-line setting. However, the magnitude of the benefit is scarce and no predictive biomarkers of response have yet been established. In this review, we describe SCLC biology and molecular classification, examine the SCLC tumor microenvironment and the challenges of predictive biomarkers of response to new treatments, and, finally, assess clinical and molecular characteristics of long-term survivor patients in order to identify possible prognostic factors and treatment vulnerabilities.

Keywords: PD-L1; immunotherapy; long-term survivors; molecular subtypes; predictive biomarkers; prognostic factors; small-cell lung cancer; tumor microenvironment.

Publication types

  • Review

MeSH terms

  • Biomarkers, Tumor / metabolism
  • Cancer Survivors
  • Humans
  • Lung Neoplasms / metabolism*
  • Lung Neoplasms / pathology*
  • Small Cell Lung Carcinoma / metabolism*
  • Small Cell Lung Carcinoma / pathology*
  • Tumor Microenvironment / physiology

Substances

  • Biomarkers, Tumor