Neoadjuvant Chemoimmunotherapy in Patients with Resectable Non-small Cell Lung Cancer

Does major pathological response after neoadjuvant Immunotherapy in resectable nonsmall-cell lung cancers predict prognosis? A systematic review and meta-analysis

OBJECTIVE

Overall survival is the gold-standard outcome measure for phase 3 trials, but the need for a long follow-up period can delay the translation of potentially effective treatment to clinical practice. The validity of major pathological response (MPR) as a surrogate of survival for non small cell lung cancer (NSCLC) after neoadjuvant immunotherapy remains unclear.

METHODS

Eligibility was resectable stage I-III NSCLC and delivery of PD-1/PD-L1/CTLA-4 inhibitors prior to resection; other forms/modalities of neoadjuvant and/or adjuvant therapies were allowed. Statistics utilized the Mantel-Haenszel fixed-effect or random-effect model depending on the heterogeneity ( I2 ).

RESULTS

Fifty-three trials (seven randomized, 29 prospective nonrandomized, 17 retrospective) were identified. The pooled rate of MPR was 53.8%. Compared to neoadjuvant chemotherapy, neoadjuvant chemo-immunotherapy achieved higher MPR (OR 6.19, 4.39-8.74, P <0.00001). MPR was associated with improved disease-free survival/progression-free survival/event-free survival (HR 0.28, 0.10-0.79, P =0.02) and overall survival (HR 0.80, 0.72-0.88, P <0.0001). Patients with stage III (vs I/II) and PD-L1 ≥1% (vs <1%) more likely achieved MPR (OR 1.66,1.02-2.70, P =0.04; OR 2.21,1.28-3.82, P =0.004).

CONCLUSIONS

The findings of this meta-analysis suggest that neoadjuvant chemo-immunotherapy achieved higher MPR in NSCLC patients, and increased MPR might be associated with survival benefits treated with neoadjuvant immunotherapy. It appears that the MPR may serve as a surrogate endpoint of survival to evaluate neoadjuvant immunotherapy.

Neoadjuvant immunochemotherapy for locally advanced resectable oral squamous cell carcinoma: a prospective single-arm trial (Illuminate Trial)

BACKGROUND

Locally advanced oral squamous cell carcinoma (LAOSCC) is associated with a high rate of recurrence and poor survival. Given the recent successes of neoadjuvant immunochemotherapy (NAICT) in solid tumors, it is promising to use this treatment modality to achieve a better pathological response and improve the survival of LAOSCC, and clinical evidence is needed to assess its safety and efficacy.

PATIENTS AND METHODS

A prospective trial of NAICT with toripalimab (PD-1 inhibitor) and albumin paclitaxel/cisplatin (TTP) was conducted in patients with clinical stage III and IVA OSCC. Intravenous albumin paclitaxel (260 mg/m 2 ), cisplatin (75 mg/m 2 ), and toripalimab (240 mg) were given in sequence on day 1 of each 21 day cycle for two cycles, followed by radical surgery and risk-adapted adjuvant (chemo)radiotherapy. The primary endpoints were safety and major pathological response (MPR). Targeted next generation sequencing and multiplex immunofluorescence were performed to assess clinical molecular characteristics and the tumor immune microenvironment in the pre-NAICT and post-NAICT tumor samples.

RESULTS

Twenty patients were enrolled. NAICT was well-tolerated with a low incidence of grades 3-4 adverse events in three patients. The completion rates of NAICT and subsequent R0 resection were 100%. The MPR rate was 60%, including a 30% pathological complete response. MPR was achieved in all four patients with a combined positive score of PD-L1>10. The density of tertiary lymphatic structure in post-NAICT tumor samples predicted the pathological response to NAICT. During the median 23-month follow-up, the disease-free survival was 90%, and the overall survival was 95%.

CONCLUSIONS

NAICT with the TTP protocol in LAOSCC is feasible and well tolerated, with a promising MPR and no obstruction on subsequent surgery. This trial is supportive of further randomized trials using NAICT in LAOSCC.

Interpretatively automated identification of circulating tumor cells from human peripheral blood with high performance

The detection and analysis of circulating tumor cells (CTCs) would be of aid in a precise cancer diagnosis and an efficient prognosis assessment. However, traditional methods that rely heavily on the isolation of CTCs based on their physical or biological features suffer from intensive labor, thus being unsuitable for rapid detection. Furthermore, currently available intelligent methods are short of interpretability, which creates a lot of uncertainty during diagnosis. Therefore, we propose here an automated method that takes advantage of bright-field microscopic images with high resolution, so as to take an insight into cell patterns. Specifically, the precise identification of CTCs was achieved by using an optimized single-shot multi-box detector (SSD)-based neural network with integrated attention mechanism and feature fusion modules. Compared to the conventional SSD system, our method exhibited a superior detection performance with the recall rate of 92.2%, and the maximum average precision (AP) value of 97.9%. To note, the optimal SSD-based neural network was combined with advanced visualization technology, i.e., the gradient-weighted class activation mapping (Grad-CAM) for model interpretation, and the t-distributed stochastic neighbor embedding (T-SNE) for data visualization. Our work demonstrates for the first time the outstanding performance of SSD-based neural network for CTCs identification in human peripheral blood environment, showing great potential for the early detection and continuous monitoring of cancer progression.

A systematic review and meta-analysis of neoadjuvant chemoimmunotherapy in stage III non-small cell lung cancer

BACKGROUND

Stage III non-small cell lung cancer (NSCLC) is a heterogeneous disease with different subtypes, multidisciplinary teams-led management, and a poor prognosis. Currently, the clinical benefits of stage III NSCLC in the neoadjuvant setting are still unclear. We performed a meta-analysis of published data on neoadjuvant chemoimmunotherapy in stage III NSCLC to systematically evaluate its efficacy and safety.

METHODS

We searched the databases to identify eligible studies of neoadjuvant chemoimmunotherapy for stage III NSCLC. The primary outcomes mainly included pathological and radiological response outcomes, the feasibility of surgery, and the safety of the regimen. The pathological and radiological response included the rate of major pathologic response (MPR), complete pathologic response (pCR), radiological response outcomes, and R0 resection; The feasibility included the rate of surgical resection, conversion to thoracotomy, surgical complications, pathological downstaging of clinical disease stage. The safety included the incidence of treatment-related adverse events (TRAEs) and severe adverse events (SAEs). R 4.1.3 software was conducted for data analysis, and p < 0.05 was considered statistically significant.

RESULTS

Nine trials containing a total of 382 populations were eligible for the meta-analysis, with the pooled surgical resection rate of 90%. Owing to the large heterogeneity of the single-rate meta-analysis, the random effect model was adopted. The estimated pooled prevalence of MPR was 56% (95%CI 0.39-0.72) and of pCR was 39% (95%CI 0.28-0.51). The pooled rate of TRAEs was 65% (95%CI 0.17-0.99) and SAEs was 24% (95%CI 0.05-0.49).

CONCLUSION

Compared to neoadjuvant chemotherapy or immunotherapy, neoadjuvant chemoimmunotherapy achieved more pathological and radiological relief, and has a high surgical resection rate and low risk of conversion to thoracotomy and surgical complications, with poor tolerance of toxicity but rarely developing life-threatening adverse events. In conclusion, neoadjuvant chemoimmunotherapy is suggested to be beneficial for stage III NSCLC.

Predicting Tumor Mutation Burden and EGFR Mutation Using Clinical and Radiomic Features in Patients with Malignant Pulmonary Nodules

Pulmonary nodules (PNs) shown as persistent or growing ground-glass opacities (GGOs) are usually lung adenocarcinomas or their preinvasive lesions. Tumor mutation burden (TMB) and somatic mutations are important determinants for the choice of strategy in patients with lung cancer during therapy. A total of 93 post-operative patients with 108 malignant PNs were enrolled for analysis (75 cases in the training cohort and 33 cases in the validation cohort). Radiomics features were extracted from preoperative non-contrast computed tomography (CT) images of the entire tumor. Using commercial next generation sequencing, we detected TMB status and somatic mutations of all FFPE samples. Here, 870 quantitative radiomics features were extracted from the segmentations of PNs, and pathological and clinical characteristics were collected from medical records. The LASSO (least absolute shrinkage and selection operator) regression and stepwise logistic regressions were performed to establish the predictive model. For the epidermal growth factor receptor (EGFR) mutation, the AUCs of the clinical model and the integrative model validated by the validation set were 0.6726 (0.4755-0.8697) and 0.7421 (0.5698-0.9144). For the TMB status, the ROCs showed that AUCs of the clinical model and the integrative model validated by the validation set were 0.7808 (0.6231-0.9384) and 0.8462 (0.7132-0.9791). The quantitative radiomics signatures showed potential value in predicting the EGFR mutant and TMB status in GGOs. Moreover, the integrative model provided sufficient information for the selection of therapy and deserves further analysis.

Neoadjuvant immunotherapy and neoadjuvant chemotherapy in resectable non-small cell lung cancer: A systematic review and single-arm meta-analysis

Background

It remains uncertain whether neoadjuvant immune checkpoint inhibitor (nICI) is superior to neoadjuvant chemotherapy (nCT) in resectable non-small cell lung cancer. In addition, there are outstanding questions for nICI such as the ideal treatment mode and predictors.

Methods

PubMed, Embase, Cochrane Library, Web of Science, and scientific meetings were searched for eligible single-arm or multi-arm trials until 31 December 2021. The primary outcomes of interest were major pathological response (MPR) and pathological complete response (pCR). The random-effect model was used for statistical analysis.

Results

Twenty-four trials of nICI (n = 1,043) and 29 trials of nCT (n = 2,337) were identified. nICI combination therapy was associated with higher MPR (63.2%, 95% CI: 54.2%–72.1%) and pCR (35.3%, 95% CI: 27.4%–43.3%) rates compared to nCT (16.2%, 95% CI: 7.5%–25.0%, P &lt; 0.001 and 5.5%, 95% CI: 3.5%–7.5%, P &lt; 0.001) and nICI monotherapy (23.3%, 95% CI: 12.7%–33.8%, P &lt; 0.001, and 6.5%, 95% CI: 1.7%–11.2%, P &lt; 0.001). As for safety, nICI monotherapy had the best tolerability; nICI combination showed a similar surgical resection rate and higher R0 resection rate compared to nCT. PD-1 inhibitor and high PD-L1 expression (≥1% or ≥50%) were correlated with higher MPR and pCR rates compared to PD-L1 inhibitor and PD-L1 expression &lt;1%.

Conclusions

nICI combination therapy is associated with higher MPR and pCR rates compared to nCT and nICI monotherapy. PD-1 inhibitor seems to be superior to PD-L1 inhibitor. PD-L1 status appears to be predictive of MPR and pCR for patients receiving nICI.

Systematic Review Registration

https://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=278661, CRD42021278661.