Literature DB >> 35552454

In Reply: TP53 Alteration Status and Tumor Mutational Burden Score: Prevalence and Prognosis in Head and Neck Squamous Cell Carcinoma.

Kimberly M Burcher1, Harper L Wilson2, Elena Gavrila3, Arianne Abreu4, Ralph B D'Agostino5, Wei Zhang6, Mercedes Porosnicu7.   

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Year:  2022        PMID: 35552454      PMCID: PMC9256026          DOI: 10.1093/oncolo/oyac088

Source DB:  PubMed          Journal:  Oncologist        ISSN: 1083-7159            Impact factor:   5.837


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Immunotherapy continues to revolutionize oncology, yet progress is hindered by the lack of biomarkers that reliably predict response. This deficiency is especially limiting in head and neck squamous cell cancer (HNSCC), where immunotherapy benefits 20% of patients or less. Biomarkers, including tumor mutational burden (TMB), PD-L1 expression, and TP53 mutations, have been implicated as predictors of response and survival in immunotherapy, but review reveals mixed results.[1-5] In our previous manuscript, we discussed the prevalence and implications of various gene alterations in HNSCC, and showed that not only was TP53 the most prevalent (present in 73.3% of patients’ tDNA and/or ctDNA samples), but it also predicted poor survival.[6] Jiang et al.[7] referenced these results and analyzed the prevalence and prognostic implications of TP53 alterations in a cohort of 1661 patients treated with immunotherapy (128 with HNSCC). They reported that 45.3% of HNSCC patients had alterations in TP53 (likely lessened by limitation of analysis to tDNA alone, although not clarified in the letter) and that such alterations were associated with decreased survival. The study further correlated TP53 alterations with high TMB, concluding that these results indicate the prognostic value of TP53 alterations for immunotherapy in HNSCC. To address these findings, we analyzed TMB in our 75-patients study. Methods were similar to the original paper.[6] Tumor mutational burden was categorized into low (0-5 mutations/megabase) and high (6+ mutations/megabase) groups. Seventy-two patients had available TMB; 47% (n = 34) had high scores and 53% (n = 38) had low scores. Patients with high TMB had improved survival when measured from time of sample collection (P = .0379) and diagnosis (P = .0176) in univariate (Figure 1A, B) and multivariate analysis (P = .01). High TMB score as a continuous variable also predicted improved survival (P = .014). No significant association between altered TP53 and TMB was identified. As a continuous variable, TMB score and TP53 alterations (present vs absent) were not significantly correlated in tDNA (average 7.54 vs 7.42; P = .95), ctDNA (average 7.78 vs 7.21; P = .75), or tDNA and/or ctDNA (average 7.48 vs 7.61; P = .95; Figure 1C-E). Similarly, TMB score as a categorical variable (high vs low) did not correlate with TP53 alterations in any DNA samples (P = .60; P = .65; and P = .78, respectively).
Figure 1.

Kaplan-Meier analysis of survival regarding TMB (categorical) and distribution of TMB (continuous) across TP53 status. (A) Survival from time of sample collection in patients with TMB scores 0 to 5 vs 6 or above; (B) survival from time of diagnosis in patients with TMB scores 0 to 5 vs. 6 or above; (C) box plot charting TMB values (continuous) vs TP53 status in tDNA samples; (D) box plot charting TMB values (continuous) vs TP53 status in ctDNA samples; (E) box plot charting TMB values (continuous) vs TP53 status tDNA and/or ctDNA samples. Blue solid lines indicate survival curves for patients TMB 0 to 5; Red dashed lines indicate survival curves for patients with TMB 6 or above. In box plots, average TMB for each category are marked with an “X.” The median score is marked with a horizontal line within the box. Quartiles and outliers are depicted according to custom.

Kaplan-Meier analysis of survival regarding TMB (categorical) and distribution of TMB (continuous) across TP53 status. (A) Survival from time of sample collection in patients with TMB scores 0 to 5 vs 6 or above; (B) survival from time of diagnosis in patients with TMB scores 0 to 5 vs. 6 or above; (C) box plot charting TMB values (continuous) vs TP53 status in tDNA samples; (D) box plot charting TMB values (continuous) vs TP53 status in ctDNA samples; (E) box plot charting TMB values (continuous) vs TP53 status tDNA and/or ctDNA samples. Blue solid lines indicate survival curves for patients TMB 0 to 5; Red dashed lines indicate survival curves for patients with TMB 6 or above. In box plots, average TMB for each category are marked with an “X.” The median score is marked with a horizontal line within the box. Quartiles and outliers are depicted according to custom. Only a small percentage of our study patients were treated with immunotherapy; therefore, analyses regarding immunotherapy response were not pursued. In the series by Jiang et al., all patients received immunotherapy, allowing correlative interpretation of the TP53 status as potential treatment biomarker. The presence of TP53 alterations was associated with decreased survival, and TP53 alterations were associated with high TMB. These simultaneous findings make TP53 alterations harder to interpret as prognosticator for immunotherapy. Nonetheless, there is literature to suggest the relationships between TP53 status, TMB, survival, and immunotherapy response may be complicated by additional variables such as TP53 protein functional status[8] and the known association of TP53 mutations with chromosomal aberations.[9] The authors would like to thank Jiang et al for their interest and join the recommendation for further investigations into the role of TP53 alteration status and TMB as predictors of response to immunotherapy and survival in HNSCC.
  8 in total

Review 1.  Biomarkers for immunotherapy response in head and neck cancer.

Authors:  Niki Gavrielatou; Stergios Doumas; Panagiota Economopoulou; Periklis G Foukas; Amanda Psyrri
Journal:  Cancer Treat Rev       Date:  2020-01-24       Impact factor: 12.111

Review 2.  Genetic aberrations in oral or head and neck squamous cell carcinoma 2: chromosomal aberrations.

Authors:  C Scully; J K Field; H Tanzawa
Journal:  Oral Oncol       Date:  2000-07       Impact factor: 5.337

3.  Predictors of disease aggressiveness influence outcome from immunotherapy treatment in renal clear cell carcinoma.

Authors:  Yasmin Kamal; Chao Cheng; H Robert Frost; Christopher I Amos
Journal:  Oncoimmunology       Date:  2018-10-16       Impact factor: 8.110

4.  Potential Predictive Value of TP53 and KRAS Mutation Status for Response to PD-1 Blockade Immunotherapy in Lung Adenocarcinoma.

Authors:  Zhong-Yi Dong; Wen-Zhao Zhong; Xu-Chao Zhang; Jian Su; Zhi Xie; Si-Yang Liu; Hai-Yan Tu; Hua-Jun Chen; Yue-Li Sun; Qing Zhou; Jin-Ji Yang; Xue-Ning Yang; Jia-Xin Lin; Hong-Hong Yan; Hao-Ran Zhai; Li-Xu Yan; Ri-Qiang Liao; Si-Pei Wu; Yi-Long Wu
Journal:  Clin Cancer Res       Date:  2016-12-30       Impact factor: 12.531

5.  The Prognostic Value of TP53 Alteration in Patients with Head and Neck Squamous Cell Carcinoma Receiving Immunotherapy.

Authors:  Chao Jiang; Xuanchen Zhou; Jie Han; Zhiyong Yue; Butuo Li
Journal:  Oncologist       Date:  2022-07-05       Impact factor: 5.837

6.  A TP53-associated gene signature for prediction of prognosis and therapeutic responses in lung squamous cell carcinoma.

Authors:  Feng Xu; Haoyu Lin; Pei He; Lulu He; Jiexin Chen; Ling Lin; Yongsong Chen
Journal:  Oncoimmunology       Date:  2020-03-02       Impact factor: 8.110

7.  TP53 somatic mutations are associated with poor survival in non-small cell lung cancer patients who undergo immunotherapy.

Authors:  Liqin Zhao; Xiaofei Qu; Zhenhua Wu; Yuehua Li; Xiaowei Zhang; WeiJian Guo
Journal:  Aging (Albany NY)       Date:  2020-07-22       Impact factor: 5.682

8.  The Prognostic and Therapeutic Value of the Mutational Profile of Blood and Tumor Tissue in Head and Neck Squamous Cell Carcinoma.

Authors:  Harper L Wilson; Ralph B D'Agostino; Nuwan Meegalla; Robin Petro; Sara Commander; Umit Topaloglu; Wei Zhang; Mercedes Porosnicu
Journal:  Oncologist       Date:  2020-11-20       Impact factor: 5.837

  8 in total

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