Potential Biomarkers for the Efficacy of PD-1-PD-L Blockade in Cancer

Evaluation of PD-L1 Expression in Colorectal Carcinomas by Comparing Scoring Methods and Their Significance in Relation to Clinicopathologic Parameters

BACKGROUND

This study aims to evaluate PD-L1 expression in colorectal carcinomas (CRCs) by using the tumor proportion score (TPS) and the combined positive score (CPS), and to investigate whether there is a correlation with clinicopathologic features.

METHODS

A cross-sectional study was conducted that included samples from patients with colorectal adenocarcinoma treated with colon resection and rectal resection after neoadjuvant radio- and chemotherapy at the Department of Abdominal Surgery at Požega Hospital in the period from 2017 to 2022. The study included 102 tumor tissue samples from patients after resection and the pathohistological diagnosis of adenocarcinoma.

RESULTS

In our study, the PD-L1 positivity rate after the TPS was 42 (41%) samples, and after the CPS, 97 (95%) of them (p < 0.001). The positive expression of PD-L1 in tumor cells using the TPS method showed a statistically significant association with adenocarcinoma (TPS ≥ 10-50% and ≥50%). There were significantly more that were moderately differentiated, with TPS ≥ 50%, and those poorly differentiated had values ≥ 10-50%. There were significantly more patients with a status of more than one positive lymph node with TPS values ≥ 10-50%. Patients without metastases in the lymph nodes are significantly more likely to have CPS values > 50%, compared with other lymph node statuses.

CONCLUSIONS

These results suggest that the total number of PD-L1-expressing cells, including tumor and immune cells, is a more sensitive biomarker than the number of PD-L1-expressing tumor cells alone in CRC.

Prognostic nutritional index as a prognostic biomarker for gastrointestinal cancer patients treated with immune checkpoint inhibitors

Objective

Our study represents the first meta-analysis conducted to evaluate the prognostic utility of the baseline prognostic nutritional index (PNI) in patients with gastrointestinal cancer (GIC) who received immune checkpoint inhibitor (ICI) therapy.

Methods

We searched PubMed, the Cochrane Library, EMBASE, and Google Scholar until April 23, 2023, to obtain relevant articles for this study. Our analysis examined several clinical outcomes, including overall survival (OS), progression-free survival (PFS), objective response rate (ORR), and disease control rate (DCR).

Results

In this analysis, a total of 17 articles with 2883 patients were included. Our pooled results indicated that patients with high PNI levels had longer OS (HR: 0.530, 95% CI: 0.456-0.616, p < 0.001) and PFS (HR: 0.740, 95% CI: 0.649-0.844, p < 0.001), as well as higher ORR (OR: 1.622, 95% CI: 1.251-2.103, p < 0.004) and DCR (OR: 1.846, 95% CI: 1.428-2.388, p < 0.001). Subgroup analysis showed that PNI cutoff values of 40 to 45 showed greater predictive potential. Subgroup analysis also confirmed that the above findings still hold true in patients with esophageal cancer, gastric cancer, and hepatocellular carcinomas.

Conclusion

The PNI were reliable predictors of outcomes in GIC patients treated with ICIs.

Prognostic nutritional index predicts the prognosis of patients with advanced esophageal cancer treated with immune checkpoint inhibitors: a retrospective cohort study

Background

Immune checkpoint inhibitors (ICIs) play an important role in the treatment of esophageal cancer (EC). However, their efficacy is variable, and there are still no effective and convenient biomarkers to identify and assess their efficacy. In recent years, programmed cell death-ligand 1 (PD-L1) expression, tumor mutation burden (TMB) and other commonly used biomarkers still cannot meet clinical needs. PNI is easy to obtain and its predictive value for the prognosis of immunotherapy has been confirmed in many cancer species, but the relationship between PNI and the efficacy of immunotherapy for esophageal cancer is still unclear. Therefore, this study aims to explore the predictive value of PNI in advanced esophageal cancer treated with ICIs.

Methods

The clinicopathological features of 78 patients with advanced EC who received immunotherapy in the 900th Hospital of the Joint Logistics Team from September 2018 to May 2022 were retrospectively analyzed. The laboratory test results within 10 days prior to the start of ICI treatment were recorded, including absolute lymphocyte count and albumin (ALB) level. Meanwhile, the effects of pre-treatment prognostic nutritional index (PNI) and body mass index (BMI) on the overall survival (OS) and progression-free survival (PFS) in patients with advanced EC were analyzed.

Results

The median age of the enrolled patients was 58 years, and 38 patients (48.7%) received second-or-later-line therapy. The median progression-free survival (mPFS) and median overall survival (mOS) were 7.4 months and 13 months, respectively. The mPFS and mOS were 8.8 months and 15 months, respectively, in the high baseline PNI subgroup, which were significantly higher than those in the low baseline PNI subgroup (4.7 and 8.2 months, respectively; both P<0.05). Multivariate regression analysis showed that low baseline PNI was an independent predictor of poor PFS [hazard studio (HR) =0.35, 95% CI: 0.14-0.85, P=0.020) and poor OS (HR =0.41, 95% CI: 0.17-0.99, P=0.047) and treatment line was an independent predictor of PFS. Baseline BMI was not significantly associated with prognosis.

Conclusions

PNI is a simple and effective biomarker for predicting the prognosis of immunotherapy in patients with advanced EC, although further prospective studies are warranted.

Potential diagnostic of lymph node metastasis and prognostic values of TM4SFs in papillary thyroid carcinoma patients

Background: Although the prognosis of papillary thyroid carcinoma (PTC) is relatively good, it causes around 41,000 deaths per year, which is likely related to recurrence and metastasis. Lymph node metastasis (LNM) is an important indicator of PTC recurrence and transmembrane 4 superfamily (TM4SF) proteins regulate metastasis by modulating cell adhesion, migration, tissue differentiation, and tumor invasion. However, the diagnostic and prognostic values of TM4SF in PTC remain unclear. Methods: This study aimed to identify TM4SF genes with predictive value for LNM and prognostic value in PTC using bioinformatic analysis. We screened the differentially expressed genes (DEGs) of the TM4SF family in PTC using data from TCGA, constructed a PPI network using STRING, and evaluated the predictive role of TM4SF1 in LNM via a binary logistic regression analysis and ROC curve. We assessed the association between TM4SF1 expression and DNA methylation, and determined the functional and mechanistic role of TM4SF1 in promoting LNM via GSEA, KEGG, and GO. We estimated the relationship between each TM4SF gene and overall survival (OS, estimated by Kaplan-Meier analysis) in patients with PTC and established a predictive model of prognostic indicators using a LASSO penalized Cox analysis to identify hub genes. Finally, we explored the correlation between TM4SFs and TMB/MSI. Results: We identified 21 DEGs from the 41 TM4SFs between N0 (without LNM) and N1 (with LNM) patients, with TM4SF1, TM4SF4, UPK1B, and CD151 being highly expressed in the N1 group; several DEGs were observed in the TNM, T, and N cancer stages. The "integrins and other cell-surface receptors" pathway was the most significantly enriched functional category related to LNM and TM4SFs. TM4SF1 was identified as an indicator of LNM (AUC= 0.702). High levels of TM4SF1 might be related to Wnt/β-catenin pathway and epithelial-mesenchymal transition (EMT) process in PTC. The higher expression of TM4SF1 was also related to DNA promoter hypomethylation. CD9, TM4SF4, TSPAN2, and TSPAN16 were associated with OS in PTC patients and TSPAN2 has great potential to become a prognostic marker of PTC progression. For the prognostic model, the riskscore = (-0.0058)*CD82+(-0.4994)*+(0.1584)*TSPAN11+(1.7597)*TSPAN19+(0.2694)*TSPAN2 (lambda.min = 0.0149). The AUCs for 3-year, 5-year, and 10-year OS were 0.81, 0.851, and 0.804. TSPAN18, TSPAN31, and TSPAN32 were associated with both TMB and MSI in PTC patients. Conclusion: Our findings identified TM4SF1 as a potential diagnostic marker of LNM and TSPAN2 as a prognostic factor for patients with PTC. Our study provides a novel strategy to assess prognosis and predict effective treatments in PTC.

Clinical Efficacy and Safety Analysis of PD-1/PD-L1 Inhibitor vs. Chemotherapy in the Treatment of Advanced Non-Small-Cell Lung Cancer: A Systematic Review and Meta-Analysis

Objective

To systematically evaluate the efficacy and safety of pembrolizumab (PD-1/PD-L inhibitor) and adjuvant chemotherapy to treat NSCLC and provide evidence-based reference for clinical use.

Methods

By searching the Cochrane Library, EMBASE, PubMed, and Web of Science, according to the inclusion criteria, literature selection, data extraction, and quality evaluation were carried out for the included literature. The I ² test was used to evaluate heterogeneity between studies, and the meta-analysis was performed using RevMan 5.3 software provided by Cochrane.

Results

Finally, 14 relevant documents meeting the standards were included. It is a statistical difference in one-year survival rate [OR = 1.50, 95% CI (1.28, 1.76), P < 0.00001, I ² = 0%, Z = 4.99]; overall response rate[OR =1.57, 95% CI (1.29, 1.90), P < 0.00001, I ² = 0%, Z = 4.58]; progression-free survival [OR = 2.99, 95% CI (2.29, 3.91), P < 0.00001, I ² = 26%, Z = 8.00]; and overall survival [OR = 1.38, 95% CI (1.07, 1.78), P = 0.01, I ² = 46%, Z = 2.50] and reduces the incidence of adverse drug reactions [OR = 2.54, 95% CI (1.99, 3.25), P < 0.00001, I ² = 69%, Z = 7.43].

Conclusion

Pembrolizumab adjuvant chemotherapy is effective in the treatment of advanced NSCLC, but attention should be paid to the occurrence of adverse reactions in clinical. Due to the limitations of the methodology included in the study, this conclusion required more validation of large-sample RCT.

Advances in targeted therapy for anaplastic thyroid carcinoma

Anaplastic thyroid carcinoma (ATC) is a highly malignant and aggressive thyroid malignancy with rapid onset and poor prognosis. There is no effective treatment for ATC yet. Molecular targeted therapy provides a new idea for ATC treatment. Tyrosine kinase inhibitor lenvatinib has potential in treating ATC patients with favorable efficacy in clinical trials. The effectiveness of the v-raf murine sarcoma viral oncogene homologue B1 () gene inhibitor dabrafenib in combination with trametinib for the treatment of positive ATC patients has been demonstrated in clinical trials. The has proposed dabrafenib in combination with trametinib as the preferred modality for the treatment of patients with positive ATC. The immune checkpoint inhibitor pembrolizumab can be applied to treat thyroid cancer with high tumor mutational load and may be considered as the preferred modality for the treatment of ATC patients with high programmed death ligand-1 expression. The mammalian target of rapamycin pathway inhibitors, peroxisome proliferators-activated receptor γ agonists, endothelial growth factor receptors-targeting monoclonal antibody cetuximab and novel vascular blocker fosbretabulin are still in the clinical research stage, which are expected to provide new directions for the development of novel targeted drugs. This article reviews the current research progress on targeted drugs for the treatment of ATC.