Prognostic Value of Inflammatory and Nutritional Biomarkers of Immune Checkpoint Inhibitor Treatment for Recurrent or Metastatic Squamous Cell Carcinoma of the Head and Neck

Impact of PIK3CA and cell cycle pathway genetic alterations on durvalumab efficacy in patients with head and neck squamous cell carcinoma: Post hoc analysis of TRIUMPH study

OBJECTIVES

This study aimed to investigate whether genetic alterations in PI3KCA and the cell cycle pathways influence the efficacy of durvalumab, an immune checkpoint inhibitor, in patients with head and neck squamous cell carcinoma (HNSCC) who had previously failed platinum-based treatment.

MATERIALS AND METHODS

We obtained data from a phase II umbrella trial of patients with HNSCC who failed platinum-based treatment (TRIUMPH, NCT03292250). Patients receiving durvalumab treatment comprised those with PIK3CA alterations (Group A), those with cell cycle pathway alterations such as CDKN2A (Group B), and those with no druggable genetic alterations (Group C). We analyzed the overall response rate (ORR), progression-free survival (PFS), and overall survival (OS) in each group and evaluated the potential predictive factors for durvalumab.

RESULTS

We analyzed the data of 87 patients: 18, 12, and 57 in groups A, B, and C, respectively. The ORRs were 27.8 %, 8.3 %, and 15.8 % in Groups A, B, and C, respectively (P = 0.329), and the median PFS for each group was 2.3, 1.6, and 1.7 months, respectively, with no significant differences between the groups (P = 0.24). Notably, patients with lower neutrophil-lymphocyte ratio (NLR) (≤5.8) had longer PFS (median, 2.8 vs 1.6 months, P < 0.001), while those with lower platelet-lymphocyte ratio (PLR) (≤491.2) exhibited longer PFS (median, 1.8 vs 1.2 months, P < 0.001).

CONCLUSION

Durvalumab's efficacy was similar, irrespective of the presence of PIK3CA or cell cycle pathway genetic alterations in patients with platinum-resistant HNSCC. The NLR and PLR may be promising predictive biomarkers.

Development of a haematological indices-based nomogram for prognostic prediction and immunotherapy response assessment in primary pulmonary lymphoepithelioma-like carcinoma patients

Background

Primary pulmonary lymphoepithelioma-like carcinoma (PPLELC) is a rare yet aggressive malignancy. This study aims to investigate a deep learning model based on hematological indices, referred to as haematological indices-based signature (HIBS), and propose multivariable predictive models for accurate prognosis prediction and assessment of therapeutic response to immunotherapy in PPLELC.

Methods

This retrospective study included 117 patients with PPLELC who received immunotherapy and were randomly divided into a training (n=82) and a validation (n=35) cohort. A total of 41 hematological features were extracted from routine laboratory tests and the least absolute shrinkage and selection operator (LASSO) algorithm were utilized to establish the HIBS. Additionally, we developed a nomogram using the HIBS and clinical characteristics through multivariate Cox regression analysis. To evaluate the nomogram's predictive performance, we used calibration curves and calculated the time-dependent area under the curve (AUC). Kaplan-Meier survival analysis was performed to estimate progression-free survival (PFS) in both cohorts.

Results

The proposed HIBS comprised 14 hematological features and showed that patients who experienced disease progression had significantly higher HIBS scores compared to those who did not progress (P<0.001). Five prognostic factors, including HIBS, tumor-node-metastasis (TNM) stage, presence of bone metastasis and the specific immunotherapy regimen, were found to be independent factors and were used to construct a nomogram, which effectively categorized PPLELC patients into a high-risk and a low-risk group, with patients in the high-risk patients demonstrating worse PFS (7.0 vs. 18.0 months, P<0.001) and lower overall response rates (22.2% vs. 52.7%, P<0.001). The nomogram showed satisfactory discrimination for PFS, with AUC values of 0.837 and 0.855 in the training and validation cohorts, respectively.

Conclusions

The HIBS-based nomogram could effectively predict the PFS and response of patients with PPLELC regarding immunotherapy and serve as a valuable tool for clinical decision making.

Ultra-high combined positive score and high serum albumin are favorable prognostic biomarkers for immune checkpoint inhibitors in head and neck squamous cell carcinoma

BACKGROUND

Biomarkers that predict response to immune checkpoint inhibitor (ICI) in recurrent metastatic squamous cell carcinoma of the head and neck (RMHNSCC) are not well known.

METHODS

We prospectively measured the combined positive score (CPS) and administered ICI to patients with RMHNSCC.

RESULTS

Of 51 patients, 23 patients had a CPS <20 and 12 patients (23.5%) had a CPS ≥90. CPS showed a negative correlation with serum albumin. Survival analysis showed a 2-year survival rate of 24.1%. In multivariate analysis, CPS ≥90 (HR 0.3026, p = 0.02614) and albumin >3.5 (HR 0.3463, p = 0.01354) were the significant factors and plus chemotherapy (HR 0.4648, p = 0.07632) was not significant. Seven patients (14%) with CPS ≥90 and albumin >3.5 showed a 2-year survival rate of 66. 7%.

CONCLUSIONS

CPS ≥90 and albumin >3.5 cases are a subgroup of RMHNSCC that respond extremely well to ICI.

Prognostic value of controlling nutritional status on clinical and survival outcomes in cancer patients treated with immunotherapy

Cancer is a leading cause of death globally. Immunotherapy has shown promise in treating various types of cancer, but its effectiveness varies among patients. The Controlling Nutritional Status (CONUT) score has been linked to the prognosis of different cancers. However, its predictive value for immunotherapy outcomes is not well understood. Our research represents the pioneering meta-study to examine the prognostic value of the CONUT score on cancer patients treated with an immune checkpoint inhibitor (ICI). A comprehensive literature search was conducted using various databases including PubMed, the Cochrane Library, EMBASE, and Google Scholar. The study was conducted until July 28, 2023. This analysis encompassed a comprehensive evaluation of various clinical outcomes, namely overall survival (OS), progression-free survival (PFS), objective response rate (ORR), and disease control rate (DCR). 663 patients from 8 studies were included in this study. It showed that cancer patients with high CONUT score had poorer OS (HR: 1.94, 95% CI, 1.52-2.47, p < 0.001) and PFS (HR: 2.22, 95% CI, 1.48-3.31, p < 0.001), as well as worse ORR (OR: 0.46, 95% CI, 0.25-0.85, p = 0.013) and DCR (HR: 0.29, 95% CI, 0.14-0.59, p = 0.001). The CONUT score can predict the prognosis of tumor patients treated with ICIs.

Prognostic significance of nutritional indices in patients with head and neck squamous cell carcinoma treated with immune checkpoint inhibitors

BACKGROUND

Although patients with head and neck squamous cell cancer (HNSCC) often show malnutrition, its effects on immune checkpoint inhibitor (ICI) treatment outcomes in these patients are unclear.

OBJECTIVES

To investigate the prognostic influence of nutritional indices in patients with HNSCC treated with ICIs and determine the optimal indices.

METHODS

This retrospective study included 106 patients with HNSCC treated with ICIs between 2017 and 2022. The prognostic influences of body mass index (BMI), geriatric nutritional risk index (GNRI), and prognostic nutritional index (PNI) on overall survival (OS) and progression-free survival (PFS) were analysed using the Kaplan-Meier method and Cox-regression models.

RESULTS

The 1-year PFS rates in the groups with high and low BMI, GNRI, and PNI were, respectively, 24.2% and 28.4% (p = .731), 29.7% and 14.4% (p = .024), and 30.3% and 13.9% (p = .015). PNI was an independent prognostic factor for both PFS (hazard ratio (HR) = 1.89; 95% confidence interval (CI), 1.08-3.29) and OS (HR = 3.26; 95% CI, 1.66-6.40).

CONCLUSIONS

PNI can predict ICI outcomes and should be assessed when ICI treatment is considered.

Chemotherapy following immune checkpoint inhibitors in recurrent or metastatic head and neck squamous cell carcinoma: clinical effectiveness and influence of inflammatory and nutritional factors

OBJECTIVE

This study aimed to evaluate the clinical effectiveness of chemotherapy following immune checkpoint inhibitors (ICI). The association between inflammatory and nutritional factors and prognosis has also been investigated.

METHODS

We retrospectively reviewed the medical records of recurrent or metastatic head and neck squamous cell carcinoma (RMHNSCC) patients who received chemotherapy following ICI therapy. The response rate and survival after chemotherapy, and nutritional and inflammatory factors, were examined.

RESULTS

The ICI before chemotherapy was nivolumab in 36 patients (70.6%) and pembrolizumab in 15 patients (29.4%). The chemotherapy regimens consisted of PTX in 32 patients (62.7%), PTX + Cmab in 9 (17.6%), and S1 in 10 (19.6%). The median overall survival (OS) was 20 months (95% CI 12-25), the estimated 12-month OS rate was 63.3%, the median progression-free survival (PFS) was 5 months (CI 4-6), and the 12-month PFS estimate was 8.9%. Univariate analysis significantly correlated Neutrophil-to-Lymphocyte Ratio (NLR), platelet-to-lymphocyte ratio (PLR), controlling nutritional status score (CONUT), and prognostic nutrition index (PNI) with OS and PFS. Additionally, these factors were significantly correlated with OS and PFS in the log-rank tests.

CONCLUSIONS

Chemotherapy following ICI is highly effective. There were no significant differences in the chemotherapy regimens. Inflammatory and nutritional factors may associate with patient prognosis after chemotherapy.

Inflammation and malnutrition as markers of poor outcomes in head and neck cancer patients treated with nivolumab

BACKGROUND

Although immune checkpoint inhibitors (ICIs) are approved for the treatment of recurrent or metastatic head and neck squamous cell carcinoma (R/M HNSCC), the response to ICIs remains unclear.

AIMS/OBJECTIVES

To summarize the clinical outcomes of patients with HNSCC treated with nivolumab (Nivo) in our institution, and provide a basis for research on biomarkers that can predict the efficacy of ICIs.

MATERIAL AND METHODS

Forty-four patients with R/M HNSCC who received Nivo (2017-2022) were retrospectively analysed.

RESULTS

Despite the older age of this cohort (median age of 72 years), we observed favourable long-term outcomes, with an overall survival of 24.1 months, which could be attributed to our aggressive nutritional intervention. Older age, poor performance status (≥1), and higher Glasgow Prognostic Scores, reflecting the chronic inflammation and malnutrition of patients, were associated with poor prognoses, with hazard ratios for death of 2.63 (95% confidence interval [CI]; 1.07-6.46, p = .016), 3.50 (95% CI; 1.28-9.55, p = .001), and 2.69 (95% CI; 1.17-6.21, p = .029), respectively. Peripheral blood biomarker analysis revealed that systemic inflammation may negatively affect the efficacy of Nivo.

CONCLUSIONS AND SIGNIFICANCE

Our results suggest that nutrition and inflammation must be the focus of future studies aiming to identify novel biomarkers.