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Titin mutation associated with responsiveness to checkpoint blockades in solid tumors
Qingzhu Jia, Jun Wang, Ning He, Ji He, Bo Zhu
Qingzhu Jia, Jun Wang, Ning He, Ji He, Bo Zhu
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Research Article Therapeutics

Titin mutation associated with responsiveness to checkpoint blockades in solid tumors

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Abstract

Immune checkpoint blockade (ICB) immunotherapy induces potent antitumor immunity across multiple solid tumors, although few patients respond well to this therapy. An emerging biomarker for predicting responsiveness to ICB immunotherapy is tumor mutational burden (TMB). Although several surrogate biomarkers, including deficient mismatch repair, TP53/KRAS mutations, and comutations in DNA damage response pathways, have been shown to be effective for predicting the response to checkpoint blockade immunotherapy, each is positive for only a small cohort of candidates, and many potential responders to ICB are inevitably missed. Here, we found that titin (TTN), which is frequently detected in solid tumors, is associated with increased TMB and correlated with objective response to ICB. In 7 public clinical cohorts, all patients with mutated TTN showed longer progression-free survival or overall survival than those with wild-type status. Furthermore, an improved objective response rate and higher TMB were identified in cohorts with accessible information. Identification of TTN mutation as a predictor of improved outcomes in response to ICBs provides a clinically feasible assessment for estimating TMB and ICB therapy outcomes.

Authors

Qingzhu Jia, Jun Wang, Ning He, Ji He, Bo Zhu

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Figure 3

Correlation between ORR and genomic predictive biomarkers in ICB therapies.

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Correlation between ORR and genomic predictive biomarkers in ICB therapi...
(A) Frequencies of biomarkers are shown and labeled according to each tumor type. Statistics were based on a 2-tailed Mann-Whitney U test. Box plot shows median with min to max range. (B–D) ORR to ICBs versus the frequencies of (B) DDR comutation, (C) dMMR, and (D) TP53/KRAS comutation for each tumor type. Tumor types without accessible data were excluded. R, coefficient of correlation; P value, Pearson’s correlation. (E) Correlation coefficient and statistical significance (P value) for biomarkers.

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