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Related Experiment Video

Updated: Jan 31, 2026

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Tumor-Infiltrating Lymphocytes-Location for Prognostic Evaluation.

Michael Peled1, Amir Onn2, Roy S Herbst3

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Clinical Cancer Research : an Official Journal of the American Association for Cancer Research
|December 21, 2018
PubMed
Summary

Computer analysis of tumor-infiltrating lymphocytes (TIL) spatial organization provides prognostic value in early non-small cell lung cancer. This finding may enhance immunotherapy treatment algorithms to prevent cancer recurrence.

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Area of Science:

  • Oncology
  • Immunology
  • Computational Pathology

Background:

  • Tumor-infiltrating lymphocytes (TIL) are critical for effective cancer immunotherapy.
  • TIL density is an established prognostic biomarker in various cancers, including non-small cell lung cancer (NSCLC).

Purpose of the Study:

  • To investigate whether the spatial organization of TILs, analyzed computationally, offers additional prognostic information beyond simple density.
  • To assess the potential of spatial TIL analysis to refine prognostic predictions in early-stage NSCLC.

Main Methods:

  • Utilized computer-based image analysis techniques to quantify the spatial distribution and organization of TILs within tumor tissues.
  • Correlated spatial TIL metrics with patient outcomes in a cohort of early-stage NSCLC patients.

Main Results:

  • Spatial organization patterns of TILs were found to have significant prognostic value.
  • Computational analysis of TIL spatial patterns provided predictive information that complements traditional density measures.

Conclusions:

  • Computer-based spatial analysis of TILs enhances prognostic prediction in early-stage NSCLC.
  • Integrating spatial TIL analysis into pathology workflows could potentially improve treatment strategies and reduce recurrence rates.