Next-generation TCR sequencing - a tool to understand T-cell infiltration in human cancers

Isabel Poschke1, Michael Flossdorf2, Rienk Offringa1,3

  • 1Division of Molecular Oncology of Gastrointestinal Tumors, German Cancer Research Center, Heidelberg, Germany.

The Journal of Pathology
|August 30, 2016
PubMed

Insights

Next-generation sequencing of T-cell receptors (TCRs) reveals distinct tumour-infiltrating lymphocyte (TIL) repertoires in oesophageal cancer. This approach highlights intratumoural heterogeneity and aids in defining biomarkers for cancer immunotherapy.

Area of Science:

  • Oncology
  • Immunology
  • Genomics

Background:

  • Tumour-infiltrating lymphocytes (TILs) are crucial for anti-tumour immunity.
  • T-cell-based therapies are advancing, necessitating understanding of effective anti-tumour responses.
  • Characterizing the T-cell receptor (TCR) repertoire is key for patient stratification in cancer immunotherapy.

Purpose of the Study:

  • To investigate the T-cell receptor repertoire within tumour-infiltrating lymphocytes (TILs) in oesophageal squamous cell carcinoma.
  • To assess the potential of next-generation sequencing (NGS) for analyzing TCR diversity and intratumoural heterogeneity.
  • To identify challenges and requirements for utilizing TCR sequencing in cancer research and biomarker discovery.

Main Methods:

  • Employed next-generation sequencing (NGS) to analyze T-cell receptor (TCR) sequences.
  • Compared TCR repertoires between tumour tissues and non-tumour sites.
  • Analyzed intratumoural heterogeneity of the TIL repertoire.

Main Results:

  • The TIL repertoire in oesophageal squamous cell carcinoma patients is distinct from non-tumour sites.
  • Significant intratumoural heterogeneity was observed in the TIL repertoire.
  • The study identified technical and biological considerations for TCR sequencing.

Conclusions:

  • TCR sequencing offers deep insights into the complexity of tumour-infiltrating lymphocytes beyond phenotypic analysis.
  • Careful methodology (sampling, normalization, error correction) is essential for robust TCR sequencing data.
  • TCR sequencing holds potential for defining predictive biomarkers for cancer immunotherapy efficacy.

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