Predictive value of 18 F-FDG PET/CT and serum tumor markers for tumor mutational burden in patients with non-small cell lung cancer

PURPOSE

To investigate the correlations between metabolic parameters (MPs) of 18 F-fluorodeoxyglucose (FDG) uptake on positron emission tomography/computed tomography (PET/CT), serum tumor markers (STMs), and tumor mutational burden (TMB) in patients with non-small cell lung cancer (NSCLC).

MATERIALS AND METHODS

In this retrospective study, we enrolled 129 patients with NSCLC (males, 78; females, 51) who underwent baseline TMB and STM tests and 18 F-FDG PET/CT scans before treatment between March 2018 and September 2022. Patients were categorized into TMB-high (TMB ≥10 mutations/Mb; n = 27 [20.9%]) and non-TMB-high (TMB <10 mutations/Mb; n = 102 [79.1%]) groups. Binary logistic regression analyses were performed to determine independent predictors of TMB-high. Univariate and multivariate linear regression analyses were performed to determine independent predictors of TMB level on a log scale. Subgroup analyses for adenocarcinoma (ADC), ADC with EGFR+, ADC with EGFR-, and squamous cell carcinoma (SCC) were performed.

RESULTS

For ADC, all MPs (SULpeak , SULmax , SULmean , MTV, and TLG) were significantly higher in the TMB-high group than the non-TMB-high group; smoker (odds ratio [OR] = 27.08, p = 0.018), EGFR+ (OR = 0.03, p = 0.033), KRAS+ (OR = 7.98, p = 0.083), high CEA (OR = 33.56, p = 0.029), and high CA125 (OR = 13.68, p = 0.030) were independent predictors of TMB-high; and all MPs showed significant positive linear correlations with TMB on a log scale, with SULpeak as an independent predictor. However, no significant correlation was observed for SCC.

CONCLUSION

MPs and STMs can predict the TMB level for patients with ADC, and may serve as potential substitutes for TMB with increased value and easy implementation in guiding immunotherapy through noninvasive methods.

Using immunovascular characteristics to predict very early recurrence and prognosis of resectable intrahepatic cholangiocarcinoma

OBJECTIVE

To predict the very early recurrence (VER) of patients with intrahepatic cholangiocarcinoma (ICC) based on TLSs and MVI status, and further perform prognosis stratifications.

METHODS

A total of 160, 51 ICC patients from two institutions between May 2012 and July 2022 were retrospectively included as training, external validation cohort. Clinical, radiological and pathological variables were evaluated and collected. Univariate and multivariate analysis were applied to select the significant factors related to VER of ICC. The factors selected were combined to perform stratification of overall survival (OS) using the Kaplan-Meier method with the log-rank test.

RESULTS

Overall, 39 patients (24.4%) had VER, whereas 121 (75.6%) did not (non-VER group). In the training cohort, the median OS was 40.5 months (95% CIs: 33.2-47.7 months). The VER group showed significantly worse OS than the non-VER group (median OS: 14.8, 95% CI:11.6-18.0 months vs. 53.4, 34.3-72.6 months; p<0.001), and it was confirmed in the validation cohort (median OS: 22.1, 95% CI: 8.8-35.4 months vs. 40.1, 21.2-59.0 months; p = 0.003). According to the univariate analysis, four variables were significantly different between the VER group and non-VER group (TLSs status, p = 0.028; differentiation, p = 0.023; MVI status, p = 0.012; diameter, p = 0.028). According to the multivariate analysis, MVI-positive status was independently associated with a higher probability of VER (odds ratio [OR], 2.5; 95% CIs,1.16-5.18; p = 0.018), whereas intra-tumoral TLSs-positive status was associated with lower odds of VER (OR, 0.43; 95% CIs, 0.19-0.97; p = 0.041). Based on the TLSs and MVI status, patients of ICC were categorized into four groups: TLSs-positive and MVI-negative (TP/MN); TLSs-negative and MVI-negative (TN/MN); TLSs-positive and MVI-positive (TP/MP), TLSs-negative and MVI-positive groups (TN/MP). In the training cohort, the four groups could be correlated with OS significantly (p<0.001), and it was confirmed in the validation cohort (p<0.001).

CONCLUSION

Intra-tumoral TLSs and MVI status are independent predictive factors of VER after surgery, based on which immunovascular stratifications are constructed and associated with OS significantly of resectable intrahepatic cholangiocarcinoma.

A CT-based radiomics approach to predict intra-tumoral tertiary lymphoid structures and recurrence of intrahepatic cholangiocarcinoma

PURPOSE

To predict the tertiary lymphoid structures (TLSs) status and recurrence-free survival (RFS) of intrahepatic cholangiocarcinoma (ICC) patients using preoperative CT radiomics.

PATIENTS AND METHODS

A total of 116 ICC patients were included (training: 86; external validation: 30). The enhanced CT images were performed for the radiomics model. The logistic regression analysis was applied for the clinical model. The combined model was based on the clinical and radiomics models.

RESULTS

A total of 107 radiomics features were extracted, and after being eliminated and selected, six features were combined to establish a radiomics model for TLSs prediction. Arterial phase diffuse hyperenhancement and AJCC 8th stage were combined to construct a clinical model. The combined (radiomics nomogram) model outperformed both the independent radiomics model and clinical model in the training cohort (AUC, 0.85 vs. 0.82 and 0.75, respectively) and was validated in the external validation cohort (AUC, 0.88 vs. 0.86 and 0.71, respectively). Patients in the rad-score no less than -0.76 (low-risk) group showed significantly better RFS than those in the less than -0.76 (high-risk) group (p < 0.001, C-index = 0.678). Patients in the nomogram score no less than -1.16 (low-risk) group showed significantly better RFS than those of the less than -1.16 (high-risk) group (p < 0.001, C-index = 0.723).

CONCLUSIONS

CT radiomics nomogram could serve as a preoperative biomarker of intra-tumoral TLSs status, better than independent radiomics or clinical models; preoperative CT radiomics nomogram achieved accurate stratification for RFS of ICC patients, better than the postoperative pathologic TLSs status.

CRITICAL RELEVANCE STATEMENT

The radiomics nomogram showed better performance in predicting TLSs than independent radiomics or clinical models and better prognosis stratification than postoperative pathologic TLSs status in ICC patients, which may facilitate identifying patients benefiting most from surgery and subsequent immunotherapy.

KEY POINTS

• The combined (radiomics nomogram) model consisted of the radiomics model and clinical model (arterial phase diffuse hyperenhancement and AJCC 8th stage). • The radiomics nomogram showed better performance in predicting TLSs than independent radiomics or clinical models in ICC patients. • Preoperative CT radiomics nomogram achieved more accurate stratification for RFS of ICC patients than the postoperative pathologic TLSs status.

Inter-fraction Dynamics during Adaptive Hypofractionated Radiotherapy for Brain Metastases with a MR LINAC

PURPOSE/OBJECTIVE(S)

This study examined the displacement and deformation in brain metastases (BMs) during adaptive hypofractionated radiotherapy (HFRT) on a magnetic resonance imaging linear accelerator (MR LINAC). In addition, the contouring variability between enhanced T1 (T1+c) and T2/FLAIR (T2f) sequence to define gross tumor volume (GTV) was compared.

MATERIALS/METHODS

Patients with 1-3 BMs and treated with MR LINAC were enrolled. T1+c sequence was acquired at initial planning, while T2/T2f was acquired during each fraction. GTV at initial planning (GTVi) and fraction 1-n (GTV1-n) were contoured in all images. Dice similarity coefficient (DSC) was used to quantify the contouring variability between different sequences at initial planning. The three-dimensional coordinate values of geometric centers of GTVi and GTV1-n were recorded and the distance was calculated. Statistical analysis was performed using two-sided paired t-test.

RESULTS

Between December 2019 and October 2022, 19 patients with 22 BMs were analyzed. The median age was 64 y (37-84 y) and the major primary tumor was lung cancer (89.5%). The median dose was 52 Gy in 13 fractions (30 Gy/5f- 60 Gy/20 f). The median GTVi on T1c, T2f and T2 sequences were 6.70cc (0.41-84.85 cc), 6.70 cc (0.35-84.14 cc, p = 0.924) and 6.16 cc (0.32-79.44 cc, p = 0.117), respectively. The mean DSC was 0.95 (0.76-1.00) and 0.86 (0.64-0.97) when comparing GTVi on T1c/T2f and T1c/T2, respectively. All of the lesions achieved volume reduction during HFRT and the mean reduction rate was 28.8% (4.8%-71.0%) at the end of HFRT. 54.5% of the BMs were reduced by more than 20%. The median treatment course and BED to get 20% reduction was 2/3 (40%-93%) and 40.8 Gy (24.5-67.5 Gy), respectively. The median shift of center of GTV1-n was 0.8 mm (0-2.5mm). The center of 7 lesions (31.8%) deviated more than 1mm from GTVi.

CONCLUSION

GTV contouring variability was seen between T1c, T2f and T2 sequences. The coincidence of T1+c and T2f was better than T1+c and T2 in BMs. Since reductions in volume and changes of lesion center was observed during HFRT, the use of MR-guided radiation therapy (RT) and treatment adaptation is needed. The optimal timing for treatment plan modification might be when the course of treatment reaches 2/3 for most large BMs. Further research to find out patients who may benefit form MR-guided adaptive RT is ongoing.

Patient Assessment and Therapy Planning Based on Homologous Recombination Repair Deficiency

Defects in genes involved in the DNA damage response cause homologous recombination repair deficiency (HRD). HRD is found in a subgroup of cancer patients for several tumor types, and it has a clinical relevance to cancer prevention and therapies. Accumulating evidence has identified HRD as a biomarker for assessing the therapeutic response of tumor cells to poly(ADP-ribose) polymerase inhibitors and platinum-based chemotherapies. Nevertheless, the biology of HRD is complex, and its applications and the benefits of different HRD biomarker assays are controversial. This is primarily due to inconsistencies in HRD assessments and definitions (gene-level tests, genomic scars, mutational signatures, or a combination of these methods) and difficulties in assessing the contribution of each genomic event. Therefore, we aim to review the biological rationale and clinical evidence of HRD as a biomarker. This review provides a blueprint for the standardization and harmonization of HRD assessments.

Tumor budding and tumor-infiltrating lymphocytes can predict prognosis in pT1b esophageal squamous cell carcinoma

BACKGROUND

Tumor budding (TB) and tumor-infiltrating lymphocyte (TIL) are significant predictive indicators of lymph node metastasis (LNM) and unfavorable prognosis in various tumors. Currently, there is no gold standard for TB and TIL evaluation in esophageal squamous cell carcinoma (ESCC). This study aimed to identify the standard of TB and TIL evaluations and build a predictive model for prognosis among patients with pT1b ESCC.

METHODS

We retrospectively analyzed the prognostic values of TB and TIL in 150 pT1b ESCC cases. Hematoxylin and eosin (H&E) and immunohistochemistry (IHC) of anti-pan cytokeratin (AE1/AE3) were used to analyze the threshold of TB, and intratumoral TIL and peritumoral TIL (pTIL) were evaluated using the receiver operating characteristic curves (ROC).

RESULTS

We found that TB in a three-tiered grading system (low-TB: 0-4; middle-TB: 5-15; high-TB: ≥16) displayed an excellent prognosis prediction for LNM and survival based on IHC staining using a 20× objective lens. Low pTIL level (≤20%) was a significant indicator of LNM and unfavorable prognosis (p < 0.05). Moreover, lower tumor location and lymphovascular invasion (LVI) were correlated with an unfavorable prognosis (p < 0.05). A nomogram developed based on TB, pTIL, LVI, and tumor location showed good discrimination, as shown by the area under the ROC and calibration curves.

CONCLUSION

We therefore recommend identifying TB using a 20× objective lens under IHC staining and TIL adjacent to the tumor. Additionally, a nomogram was built for facilitating individualized prediction of survival for patients with pT1b ESCC.

Multi-dimensional characterization of immunological profiles in small cell lung cancer uncovers clinically relevant immune subtypes with distinct prognoses and therapeutic vulnerabilities

Small-cell lung cancer (SCLC) is generally considered a 'homogenous' disease, with little documented inter-tumor heterogeneity in treatment guidance or prognosis evaluation. The precise identification of clinically relevant molecular subtypes remains incomplete and their translation into clinical practice is limited. In this retrospective cohort study, we comprehensively characterized the immune microenvironment in SCLC by integrating transcriptional and protein profiling of formalin-fixation-and-paraffin-embedded (FFPE) samples from 29 patients. We identified two distinct disease subtypes: immune-enriched (IE-subtype) and immune-deprived (ID-subtype), displaying heterogeneity in immunological, biological, and clinical features. The IE-subtype was characterized by abundant immune infiltrate and elevated levels of interferon-alpha/gamma (IFNα/IFNγ) and inflammatory response, while the ID-subtype featured a complete lack of immune infiltration and a more proliferative phenotype. These two immune subtypes are associated with clinical benefits in SCLC patients treated with adjuvant therapy, with the IE-subtype exhibiting a more favorable response leading to improved survival and reduced disease recurrence risk. Additionally, we identified and validated a personalized prognosticator of immunophenotyping, the CCL5/CXCL9 chemokine index (CCI), using machine learning. The CCI demonstrated superior predictive abilities for prognosis and clinical benefits in SCLC patients, validated in our institute immunohistochemistry cohort and multicenter bulk transcriptomic data cohorts. In conclusion, our study provides a comprehensive and multi-dimensional characterization of the immune architecture of SCLC using clinical FFPE samples and proposes a new immune subtyping conceptual framework enabling risk stratification and the appropriate selection of individualized therapy.

Validating a Macrophage Marker Gene Signature (MMGS) in Lung Adenocarcinoma Prognosis and Response to Immunotherapy

Lung adenocarcinoma (LUAD) is the leading cause of cancer-related death worldwide. Tumor-associated macrophages play pivotal roles in the tumor microenvironment (TME) and prognosis of LUAD. We first used single-cell RNA sequencing data to identify macrophage marker genes in LUAD. Univariate, least absolute shrinkage and selection operator and stepwise multivariate Cox regression analyses were conducted to evaluate macrophage marker genes as prognostic factors and to construct the macrophage marker genes signature (MMGS). A novel 8-gene signature was constructed to predict prognosis based on 465 macrophage marker genes identified by an analysis of single-cell RNA sequencing data of LUAD, and was also verified in 4 independent GEO cohorts. The MMGS significantly classified patients into high-risk and low-risk groups in terms of OS. A prognostic nomogram based on independent risk factors was established to predict the 2-, 3- and 5-year survival, which indicated superior accuracy in predicting prognosis. The high-risk group was correlated to higher tumor mutational burden, number of neoantigens, T-cell receptor richness, and lower TIDE, which suggested that high-risk patients were more likely to benefit from immunotherapy. The prediction of the possibility of immunotherapy efficacy was also discussed. Analysis of an immunotherapy cohort further verified that patients with high-risk scores had better immunotherapy responses than low-risk patients. The MMGS is a promising signature for predicting prognosis and effectiveness of immunotherapy in patients with LUAD, and may be helpful for clinical decision-making.

Case report: A rare case of tumor-to-tumor metastasis: metastatic lobular breast carcinoma to clear cell renal cell carcinoma

Tumor-to-tumor metastasis is a rare phenomenon. Although renal cell carcinoma is the most common recipient tumor, metastatic lobular breast carcinoma to clear cell renal cell carcinoma is even rarer, with only one case reported to date. We present a 66-year-old female patient with an invasive lobular carcinoma history who was admitted to the hospital with a right renal mass. The patient received partial nephrectomy. The final established diagnosis is lobular breast carcinoma metastasizing to clear cell renal cell carcinoma (ccRCC). Thus, although rare, the simultaneous or consecutive find of a renal mass in follow-up should be carefully evaluated, especially in high-risk patients, including women with an advanced breast cancer history, as in this scenario.

Potential unreliability of ALK variant allele frequency in the efficacy prediction of targeted therapy in NSCLC

Anaplastic lymphoma kinase (ALK) is the most common fusion gene involved in non-small cell lung cancer (NSCLC), and remarkable response has been achieved with the use of ALK tyrosine kinase inhibitors (ALK-TKIs). However, the clinical efficacy is highly variable. Pre-existing intratumoral heterogeneity (ITH) has been proven to contribute to the poor treatment response and the resistance to targeted therapies. In this work, we investigated whether the variant allele frequencies (VAFs) of ALK fusions can help assess ITH and predict targeted therapy efficacy. Through the application of next-generation sequencing (NGS), 7.2% (326/4548) of patients were detected to be ALK positive. On the basis of the adjusted VAF (adjVAF, VAF normalization for tumor purity) of four different threshold values (adjVAF < 50%, 40%, 30%, or 20%), the association of ALK subclonality with crizotinib efficacy was assessed. Nonetheless, no statistical association was observed between median progression-free survival (PFS) and ALK subclonality assessed by adjVAF, and a poor correlation of adjVAF with PFS was found among the 85 patients who received first-line crizotinib. Results suggest that the ALK VAF determined by hybrid capture-based NGS is probably unreliable for ITH assessment and targeted therapy efficacy prediction in NSCLC.

Single-cell RNA-sequencing data reveals the genetic source of extracellular vesicles in esophageal squamous cell carcinoma

Esophageal squamous cell carcinoma (ESCC) is invasive cancer and the complex mechanisms underlying carcinogenesis remain unclear. Extracellular vesicles (EVs), secreted by most cell types, serve as a critical factor in tumorigenesis via intercellular communications. Our study aims to investigate the cellular origin of EVs in ESCC, and unveil the unknown molecular and cellular mechanisms underlying cell-cell communications. Six ESCC patients were enrolled and single-cell RNA sequencing (scRNA-seq) analyses were conducted to screen different cell subpopulations. The genetic origin of EVs was tracked using the supernatant from different cellular extracts. Nanoparticle tracking analysis (NTA), western blot analysis, and transmission electron microscopy (TEM) were performed for validation. Using scRNA-seq analysis, eleven cell subpopulations were identified in ESCC. Differences in gene expression in EVs between malignant and non-malignant esophageal tissues were found. Our findings demonstrated that epithelial cells releasing EVs were the most prevalent in malignant tissues, while endothelial cells and fibroblasts releasing EVs were predominant in non-malignant tissues. Furthermore, the high levels of gene expression in EVs released from these cells were correlated significantly with a worse prognosis. Our findings revealed the genetic origin of EVs in malignant and non-malignant esophageal tissues and provided a comprehensive overview of the associated cell-cell interactions in ESCC.

A novel tumor suppressor encoded by a 1p36.3 lncRNA functions as a phosphoinositide-binding protein repressing AKT phosphorylation/activation and promoting autophagy

Peptides/small proteins, encoded by noncanonical open reading frames (ORF) of previously claimed non-coding RNAs, have recently been recognized possessing important biological functions, but largely uncharacterized. 1p36 is an important tumor suppressor gene (TSG) locus frequently deleted in multiple cancers, with critical TSGs like TP73, PRDM16, and CHD5 already validated. Our CpG methylome analysis identified a silenced 1p36.3 gene KIAA0495, previously thought coding long non-coding RNA. We found that the open reading frame 2 of KIAA0495 is actually protein-coding and translating, encoding a small protein SP0495. KIAA0495 transcript is broadly expressed in multiple normal tissues, but frequently silenced by promoter CpG methylation in multiple tumor cell lines and primary tumors including colorectal, esophageal and breast cancers. Its downregulation/methylation is associated with poor survival of cancer patients. SP0495 induces tumor cell apoptosis, cell cycle arrest, senescence and autophagy, and inhibits tumor cell growth in vitro and in vivo. Mechanistically, SP0495 binds to phosphoinositides (PtdIns(3)P, PtdIns(3,5)P2) as a lipid-binding protein, inhibits AKT phosphorylation and its downstream signaling, and further represses oncogenic AKT/mTOR, NF-κB, and Wnt/β-catenin signaling. SP0495 also regulates the stability of autophagy regulators BECN1 and SQSTM1/p62 through modulating phosphoinositides turnover and autophagic/proteasomal degradation. Thus, we discovered and validated a 1p36.3 small protein SP0495, functioning as a novel tumor suppressor regulating AKT signaling activation and autophagy as a phosphoinositide-binding protein, being frequently inactivated by promoter methylation in multiple tumors as a potential biomarker.

Abstract 2180: The PD-L1 protein expression in Chinese patients with advanced esophageal cancers: a multi-center retrospective study

Introduction: Programmed cell death ligand-1 (PD-L1) is the ligand of programmed cell death-1 (PD-1), a member of the immunoglobulin gene superfamily that plays a role in programmed cell death. Accumulating evidence of anti-PD-1 therapy has showed improved survival benefit for esophageal cancer (EC) patients. PD-L1 has emerged as a crucial predictor for efficacy of immunotherapy. However, the understanding of PD-L1 as a biomarker is complicated by various immunohistochemistry platforms, PD-L1 antibodies, scoring systems, and cut-offs for immunotherapy. Although PD-L1 expression has been widely investigated, the real-world PD-L1 expression status in Chinese patients with advanced EC nationwide with unified testing platform, antibody, scoring system and cut-off is largely unrevealed.

Methods: The present study was a nationwide multi-center retrospective analysis of data from six centers in China from August 9, 2021, to February 28, 2022. Patients with histologically or cytologically confirmed diagnoses of advanced EC were included. The primary outcome was the prevalence of high PD-L1 expression in patients with advanced EC. Immunohistochemical analysis of PD-L1 expression was performed by using the PD-L1 IHC 22C3 pharmDx assay in EC specimens. PD-L1 protein expression was assessed by using a combined positive score (CPS). The CPS≥ 10 was defined as a high PD-L1 high expression. The Chi-square test, Fisher’s exact test, or Wilcoxon rank sum test was used to compare the PD-L1 prevalence across demographic, clinicopathologic parameters, treatment status and other biomarkers.

Results: Out of 488 enrolled patients with advanced EC, 482 patients were included in the final analysis. For all testing EC patients, 207 patients (42.9% [95% CI 38.48-47.50]) were PD-L1 high expression (CPS≥10). Between the PD-L1 high (CPS≥10) group and PD-L1 low (CPS&lt;10) group, there were statistically significant differences in gender (P=0.046), alcohol consumption (P = 0.011), distant metastatic lesion number of patients with stage IV (P = 0.032), surgery (P = 0.012), systemic therapy (P = 0.004), and chemotherapy (P=0.004).

Conclusion: In summary, the prevalence of high PD-L1 expression (CPS≥10) in Chinese patients with advanced EC in real-world setting using 22C3 assay is consistent with previous data in global clinical trials. Our findings of the related clinicopathological and treatment features to the PD-L1 expression can provide supplementary information for decision-making of immunotherapy and facilitate the better understanding of mechanism underlying PD-L1 and anti-tumor immunity.

Citation Format: Liyan Xue, Jiaqi Wang, Dong Kuang, Jingping Yun, Yuan Li, Lili Jiang, Daoyuan Wu, Pei Duan, Shixun Lu, Yan Jin, Du He, Jing Qian, Wenmin Tang, Yan Wang, Jielin Li, Jianming Ying. The PD-L1 protein expression in Chinese patients with advanced esophageal cancers: a multi-center retrospective study [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 2180.

Ultra-rapid Idylla™ EGFR mutation screening followed by next-generation sequencing: An integrated solution to molecular diagnosis of non-small cell lung cancer

Background

Rapid profiling of the EGFR mutations is crucial to help clinicians choose the optimal treatment for patients with advanced/metastatic Non-Small Cell Lung Cancer (NSCLC). Unfortunately, current diagnostic techniques, including ARMS-PCR and NGS, generally require several days to deliver final results. This diagnostic delay may lead to treatment delays for patients who are worsening rapidly.

Methods

This study introduced the ultra-rapid Idylla™ system for rapid, sensitive and specific identification of the EGFR mutations among Chinese NSCLC patients. Idylla™ EGFR Assay, an integrated cartridge running on the Idylla™ system, which can detect 51 EGFR mutations directly from Formalin-Fixed, Paraffin-Embedded (FFPE) samples within 2.5 hours, was used in this study. The sensitivity and specificity of the Idylla™ system were evaluated in comparison with ARMS-PCR or NGS using 95 clinical samples.

Results

The Idylla™ system achieved a sensitivity of 97.6%, a specificity of 100%, and an overall concordance of 97.9% for 95 retrospective samples. When compared to ARMS-PCR, the Idylla™ system demonstrated high accuracy with an overall agreement of 97.1% (34/35), a sensitivity of 95.2% (20/21) (95% CI, 76.2% - 99.9%), and an estimated specificity of 100% (12/12) (95% CI, 76.8% - 100%) for 35 prospective samples.

Conclusions

This Idylla system provides a rapid, accurate and simple approach for screening EGFR mutations, which can guide Tyrosine Kinase Inhibitors (TKI) treatment for NSCLC patients in a timely manner.

Development and validation of nomograms for predicting axillary non-SLN metastases in breast cancer patients: A retrospective analysis

Purpose

The aim of this study was to develop a nomogram for predicting positive non-sentinel lymph nodes (non-SLNs) in positive SLN breast cancer patients and validate the Memorial Sloan-Kettering Cancer Center (MSKCC) nomogram for non-SLN metastasis in Chinese patients.

Methods

The pathological features of 2,561 breast cancer patients were retrospectively reviewed, and the patients were divided into training and validation cohorts. Positive non-SLN predictors were identified using univariate and multivariate analyses and used to construct the nomogram. In patients with positive SLNs, the MSKCC nomogram was used to calculate the probability of non-SLN metastasis. The area under the receiver operating characteristic curve (AUC) was calculated to assess the accuracy of this model and the MSKCC nomogram.

Results

According to multivariate logistic regression analysis, the number of positive and negative SLNs, tumor stage, lymphovascular invasion, perineural invasion, and extracapsular extension were independent predictive factors for non-SLN metastasis and were selected to establish the nomogram for predicting positive non-SLNs. This nomogram performed favorably in predicting positive non-SLNs, with AUCs of 0.765 and 0.741 for the training and validation cohorts, respectively. The MSKCC nomogram predicted non-SLN metastasis with an AUC of 0.755.

Conclusion

A nomogram was developed and validated to assist clinicians in evaluating the likelihood of positive non-SLN. For Chinese patients with a known ER status before surgery, the MSKCC nomogram can be used to predict non-SLN metastases.

Detection of MET polysomy by next-generation sequencing and its clinical relevance for MET inhibitors

Next-generation sequencing (NGS) has failed to detect mesenchymal epithelial transition factor gene (MET) polysomy in previous studies. We included three non-small cell lung cancer (NSCLC) cohorts in this retrospective study to establish new criteria for detecting MET polysomy and to explore the clinical relevance of MET polysomy. Cohort 1 included 53 patients whose tissues were available for both fluorescence in-situ hybridization (FISH) and NGS assays. Paired plasma and tissue samples were obtained from 261 patients with NSCLC as cohort 2. Cohort 3 included 46 patients with metastatic NSCLC, who presented with MET copy number gain assessed by NGS. Receiver operating characteristic (ROC) analysis demonstrated that a cut-off point of 2.3 copies achieved the maximum Youden index in discriminating polysomy from normal copy number. Compared with the FISH test for MET polysomy, the sensitivity, specificity, and agreement of NGS were 90%, 90%, and 96.2%, respectively. Following optimization using maximum somatic-allele-frequency (MSAF), the sensitivity and specificity of NGS for defining polysomy using plasma samples according to different ctDNA mutation frequencies were 42% and 63%. The concordance rate between tissue and plasma samples for detecting polysomy was 85%. Regarding the response to MET inhibitor, the median progression-free survival (PFS) of the MET amplification group was significantly higher than that of the polysomy group. The median PFS was similar between the polysomy and normal groups. Our results indicated that NGS may serve as an alternative method for detecting MET polysomy in NSCLC tissues. Moreover, patients with MET polysomy may not benefit from MET inhibitors.

Efficacy, Safety, and Biomarker Analysis of Neoadjuvant Camrelizumab and Apatinib in Patients with Resectable Non-Small-Cell Lung Cancer: A Phase 2 Clinical Trial

BACKGROUND

Camrelizumab (an anti-PD-1 antibody) combined with apatinib (an antiangiogenic agent) have conferred benefits for advanced non-small-cell lung cancer (NSCLC). We aimed to assess the activity and safety of neoadjuvant camrelizumab plus apatinib in resectable NSCLC patients.

METHODS

In this phase 2 trial, patients with histologically confirmed resectable stage IIA-IIIB NSCLC (stage IIIB, T3N2 only) received intravenous camrelizumab (200 mg) every 2 weeks for three cycles and oral apatinib (250 mg) once daily for 5 days followed by 2 days off for 6 weeks. Surgery was planned 3-4 weeks after apatinib discontinuation. The primary endpoint was major pathologic response (MPR) rate, assessed in patients who received at least one dose of neoadjuvant treatment and underwent surgery.

RESULTS

Between November 9, 2020 and February 16, 2022, 78 patients were treated and 65 (83%) underwent surgery. All 65 patients achieved an R0 surgical resection. Among 65 patients, 37 (57%, 95% CI 44%-69%) patients had an MPR, of whom 15 (23%, 95% CI 14%-35%) had a pathologic complete response (pCR). Pathologic responses observed in squamous-cell NSCLC were superior to adenocarcinoma (MPR: 64% vs. 25%; pCR: 23% vs. 0%). The radiographic objective response rate was 52% (95% CI 40%-65%). Among all the 78 enrolled patients, 37 (47%, 95% CI 36%-59%) patients had an MPR, of whom 15 (19%, 95% CI 11%-30%) had a pCR. Four (5%) of 78 patients had grade 3 neoadjuvant treatment-related adverse events (TRAEs). No grade 4 or 5 TRAEs occurred. Receiver operating characteristic analysis showed a significant correlation between the maximum reduction of standard uptake values and pathologic response (R = 0.619, P < 0.0001). Additionally, baseline PD-L1 expression, HOXA9 and SEPT9 methylation levels, and ctDNA status before surgery were associated with pathologic responses.

CONCLUSION

Neoadjuvant camrelizumab plus apatinib showed promising activity and manageable toxicity in patients with resectable stage IIA-IIIB NSCLC, which might be a potential therapeutic option in neoadjuvant setting.

Clinicopathological practice in the differential diagnosis of mucoepidermoid carcinoma from neoplasms with mucinous component

Background

The differential diagnosis of mucoepidermoid carcinoma (MEC) from neoplasm undergoing mucinous features brings more pitfalls to pathologists. Combining specific MAML2 gene rearrangement and histological characteristics may be the solution.

Methods

Twenty-five tumors with mucinous components were selected for differential diagnosis of MEC. All the cases were detected for MAML2 gene rearrangement. The cases diagnosed as MEC were classified into four variants: classic, oncocytic, Warthin-like, and nonclassified, and they were graded using the Brandwein system. The histological characteristics of non-MECs were summarized for differential diagnosis. Univariate survival analysis was performed on MECs.

Results

There were 16 MECs; 62.5% were MAML2 rearranged. For the low-, intermediate-, and high-grade MECs, the rate of rearrangement was 83.3%, 100%, and 28.6%, respectively. Both the oncocytic and Warthin-like MECs were MAML2 rearranged. For the classic and nonclassified MECs without MAML2 rearrangement, non-keratinized squamoid cells and distinctive mucinous cells were essential diagnostic criteria. On survival analysis, all the disease progression occurred in high-grade MECs (p = 0.038). Nine cases were diagnosed as non-MECs: pleomorphic adenoma with mucinous metaplasia showed no ex-capsular involvement; metaplastic Warthin tumor appeared with overt keratinization and residual oncocytic bilayered epithelium; mix squamous cell and glandular papilloma showed an endobronchial papillary growing pattern; adenosquamous carcinoma was accompanied by squamous carcinoma in situ of the overlying mucosa. All the non-MECs were negative for MAML2 rearrangement.

Conclusion

The application of combining MAML2 rearrangement and histological characteristics is helpful in the differential diagnosis between MEC and other tumors with mucinous components.

Establishment and validation of a multigene model to predict the risk of relapse in hormone receptor-positive early-stage Chinese breast cancer patients

BACKGROUND

Breast cancer patients who are positive for hormone receptor typically exhibit a favorable prognosis. It is controversial whether chemotherapy is necessary for them after surgery. Our study aimed to establish a multigene model to predict the relapse of hormone receptor-positive early-stage Chinese breast cancer after surgery and direct individualized application of chemotherapy in breast cancer patients after surgery.

METHODS

In this study, differentially expressed genes (DEGs) were identified between relapse and nonrelapse breast cancer groups based on RNA sequencing. Gene set enrichment analysis (GSEA) was performed to identify potential relapse-relevant pathways. CIBERSORT and Microenvironment Cell Populations-counter algorithms were used to analyze immune infiltration. The least absolute shrinkage and selection operator (LASSO) regression, log-rank tests, and multiple Cox regression were performed to identify prognostic signatures. A predictive model was developed and validated based on Kaplan-Meier analysis, receiver operating characteristic curve (ROC).

RESULTS

A total of 234 out of 487 patients were enrolled in this study, and 1588 DEGs were identified between the relapse and nonrelapse groups. GSEA results showed that immune-related pathways were enriched in the nonrelapse group, whereas cell cycle- and metabolism-relevant pathways were enriched in the relapse group. A predictive model was developed using three genes ( CKMT1B , SMR3B , and OR11M1P ) generated from the LASSO regression. The model stratified breast cancer patients into high- and low-risk subgroups with significantly different prognostic statuses, and our model was independent of other clinical factors. Time-dependent ROC showed high predictive performance of the model.

CONCLUSIONS

A multigene model was established from RNA-sequencing data to direct risk classification and predict relapse of hormone receptor-positive breast cancer in Chinese patients. Utilization of the model could provide individualized evaluation of chemotherapy after surgery for breast cancer patients.

[Efficacy of sacubitril/valsartan in peritoneal dialysis patients with HFpEF and its effect on residual renal function]

Objective: To investigate the efficacy of sacubitril/valsartan in peritoneal dialysis (PD) patients with heart failure with preserved ejection fraction (HFpEF) and its effect on residual renal function. Methods: PD patients with HFpEF in Ningbo First Hospital from March 2018 to August 2021 were retrospectively enrolled and divided into study group with sacubitril/valsartan and control group with valsartan. The clinical baseline data before treatment and clinical indicators during follow-up (6 and 12 months after treatment) were collected and compared between the two groups, and the adverse reactions were also recorded. Results: A total of 99 patients were included in the study. There were 61 patients in the study group, including 44 males and 17 females, with a mean age of (52±13) years. Meanwhile, there were 38 patients in the control group, including 23 males and 15 females, with a mean age of (57±14) years. There was no statistically significant difference in clinical baseline data between the two groups (e.g., age, sex, body mass index, duration of dialysis) (all P>0.05). The N-terminal pro-B-type natriuretic peptide (NT-proBNP) and left ventricular end-systolic dimension (LVDs) were lower, but the left ventricular ejection fraction (LVEF) was higher in the study group than those in the control group at 6 and 12 months after treatment (all P<0.05). The systolic blood pressure (SBP) and diastolic blood pressure (DBP) of the two groups were lower than baseline values at 6 and 12 months after treatment respectively, with statistically significant differences (all P<0.05). However, there were no statistically significant differences in the decreases of SBP and DBP between the two groups at 6 and 12 months after treatment (all P>0.05). The decrease extents in residual estimated glomerular filtration rate (eGFR) [0.52 (-0.05, 1.19) vs 1.72 (0.97, 2.39) ml·min^-1·(1.73 m²)^-1, P<0.001]and 24-h residual urine volume [200 (-100, 300) vs 300 (137, 400) ml, P=0.018] at 12 months after treatment were lower in the study group than those in the control group. During the follow-up period, hyperkalemia occurred in 16 cases (26.2%) and 13 cases (34.2%) in the study group and the control group, and hypotension occurred in 3 cases (4.9%) and 1 case (2.6%) in the study group and the control group, respectively. There were no adverse reactions such as cough and angioneurotic edema in the two groups. Conclusions: Sacubitril/valsartan can safely and effectively improve cardiac function and lower blood pressure in PD patients with HFpEF. Compared with valsartan, sacubitril/valsartan may be more beneficial to delay the loss of residual renal function in PD patients with HFpEF.

The developmental regulator HAND1 inhibits gastric carcinogenesis through enhancing ER stress apoptosis via targeting CHOP and BAK which is augmented by cisplatin

Epigenetic disruption of tumor suppressor genes, particularly aberrant CpG methylation, plays a crucial role in gastric cancer (GC) pathogenesis. Through CpG methylome and expression profiling, a developmental transcription factor - Hand-And-Neural-crest-Derivative-expressed 1 (HAND1), was identified methylated and downregulated in GC. However, its role and underlying mechanisms in GC progression are poorly understood. Here, we show that HAND1 was frequently downregulated in GC by promoter methylation, and significantly correlated with tumor progression and poor prognosis of GC patients. High expression of HAND1 in GC patients was associated with significantly higher 5-year overall survival rates. Ectopic expression of HAND1 inhibited GC cell growth and migration in vitro and in vivo. HAND1 expression increased ROS levels and cytosolic Ca²⁺ concentration, enhanced cisplatin-induced apoptosis through endoplasmic reticulum (ER) stress/mitochondria-mediated apoptosis. Knockdown of CHOP and BAK attenuated HAND1-induced cell apoptosis. Overexpression of CHOP increased BAK expression. HAND1 interacts with CHOP, also directly binds to CHOP and BAK promoters and positively regulates BAK transcription. Thus, the present study demonstrates that HAND1 is a tumor suppressor gene methylated in GC, induces ER stress and apoptosis via CHOP and BAK, which is augmented by cisplatin. Low HAND1 expression is an independent poor prognostic factor for GC. The tumor-specific methylation of HAND1 promoter could be a candidate biomarker for GC.

Evolutionary characteristics and immunological divergence of lung and brain metastasis lesions in NSCLC

Brain metastases are one of the main reasons for lung cancer-related deaths but lack prediction methods. Many patients with brain metastases do not benefit from immunotherapy. A comprehensive genomic analysis of matched primary tumors (PTs) and their brain metastasis (BM) lesions may provide new insight into the evolutionary and immune characteristics. To describe evolutionary features and immune characteristic differences, we analyzed whole-exome sequencing (WES) data for 28 paired PT and BM samples from 14 non-small cell lung cancer (NSCLC) patients. In addition, we used another 26 matched PT and BM samples as a validation cohort. We found that total mutational signatures were relatively consistent between paired primary and brain metastatic tumors. Nevertheless, the shared mutations of the two lesions were fewer than the mutations present in each of the lesions alone. In the process of brain metastasis, driver genes undergo evolutionary branches. Typical driver genes, including EGFR and TP53, appear relatively conserved throughout evolution; however, specific signals are enriched in brain metastasis lesions. We found several main characteristics of lung cancer brain metastases that were different from primary lung cancer, such as genomic instability, novel driver genes, tumor mutational burden (TMB), and brain metastasis lesion private neoantigens. In addition, the estimated timing of dissemination showed that brain metastases might occur early in lung cancer. Implications: Mechanistic insight from this study provides new insight into the biology of the metastatic brain process and a new beneficial approach for preventing and treating lung cancer brain metastases.

The epidemic of malignant mesothelioma in China: a prediction of incidence during 2016-2030

Background

Malignant mesothelioma is an invasive cancer with a poor prognosis. The crude incidence rate of malignant mesothelioma in China increased throughout 2000 to 2013, which attracted attention. In order to predict the incidence trend of malignant mesothelioma in China, a Bayesian age-period-cohort (APC) prediction model was constructed using publicly available data from the National Cancer Registration Network.

Methods

Based on the annual reports of the national cancer registration from 2005 to 2015, the incidence trend of malignant mesothelioma from 2016 to 2030 in China was forecast using the APC Modeling and Prediction package from the Institute of Biomedical Engineering, London.

Results

The crude incidence rates of malignant mesothelioma decreased from 2.2 per one million person-years in 2005 to 1.6 per one million person-years in 2015. The incidence rates remained stable over the 11-year time period after age standardization. Aging was found to have a dominant effect on the trends. The Bayesian APC model showed that the crude incidence rates would increase from 1.4 per one million person-years in 2016 to 1.9 per one million person-years in 2030, and the estimated number of new incident cases would increase to 2,775 in 2030. The age-standardized incidence rate (ASR) remained steady.

Conclusions

In the future decade, the incidence of malignant mesothelioma may increase, but the ASR will remain stable. Considering its high degree of malignancy, malignant mesothelioma still needs to be taken seriously.

Prognostic significance of YAP1 expression and its association with neuroendocrine markers in resected pulmonary large cell neuroendocrine carcinoma (LCNEC)

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It is the first study to determine the prognostic relevance of YAP1 in pulmonary LCNEC. And we found YAP1 is a prognostic factor for worse survival, especially for DFS.

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We investigated the relationship between YAP1 and NE markers (INSM1, DLL3, NeuroD1) and found that YAP1 expression was negatively correlated with INSM1 and DLL3, but not significantly correlated with NeuroD1.

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Our sample size is large and the clinical data is complete.

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The exploration of the prognostic mechanism of LCNEC is of great significance to its subtype classification and stratification of treatment and prognosis.

Background

YAP1 (Yes-associated protein 1), an important effector of the Hippo pathway, acts as an oncogene and is overexpressed in various malignant tumors. However, the function and expression pattern of YAP1 in pulmonary large cell neuroendocrine carcinoma (LCNEC) have not been systematically established. This study aimed to explore the relationship between YAP1 expression and neuroendocrine differentiation markers and their prognostic significance in LCNEC.

Materials and methods

YAP1 protein and neuroendocrine markers (INSM1, NeuroD1 and DLL3) expression were examined by immunohistochemical (IHC) staining in 80 resected pulmonary LCNEC cases. The possible association between these markers and clinicopathological features was evaluated and survival analyses were performed.

Results

YAP1 was highly expressed in 25% LCNECs (20/80) , especially at a relatively higher T stage (p = 0.015). YAP1 expression was negatively correlated with INSM1 (χ²=11.53, p = 0.001) and DLL3(χ²=8.55, p = 0.004), but not with NeuroD1 (p = 0.482). For survival analyses, YAP1 expression was associated with worse disease-free survival (DFS) and overall survival (OS) (median DFS: 13 months vs. not reached (NR), p = 0.0096; median OS: not reached, NR vs. NR, p = 0.038), and was an unfavorable prognostic factor for DFS (HR:3.285; 95%CI: 1.526-7.071, p = 0.002) and OS (HR: 2.864, 95% CI: 0.932-8.796, p = 0.066).

Conclusions

YAP1 was found to be conversely correlated with neuroendocrine markers and a prognostic factor for worse survival in resected LCNEC patients, and mechanisms need to be further investigated.