Correlation of TTF-1 immunoexpression and EGFR mutation spectrum in non-small cell lung carcinoma

Baseline retinoblastoma transcriptional corepressor 1 (Rb1) functional inactivation is a pre-requisite but not sufficient for small-cell histological transformation in epidermal growth factor receptor (EGFR) mutant lung adenocarcinomas post-tyrosine kinase inhibitor therapy

Small-cell transformation is an uncommon mechanism of tyrosine receptor kinase inhibitor (TKI) resistance in epidermal growth factor receptor (EGFR)-mutant lung adenocarcinomas. This study aims to assess the dynamic changes in the molecular landscape and Rb1 functional status in EGFR-mutant lung adenocarcinomas transforming to small-cell carcinomas post-treatment with EGFR-TKIs. This is an ambispective study (2019-2023) wherein the baseline and post-TKI biopsies of EGFR-mutant lung adenocarcinomas with small-cell transformation were subject to Rb1 immunohistochemistry and 72-gene targeted panel next-generation sequencing. Rb1-deficiency was defined as Rb1 protein loss or Rb1retained/p16high/Cyclin-D1low protein expression profile with RB1 mutations. A cohort of EGFR-mutant lung adenocarcinomas without small-cell transformation was included for Rb1 status comparison. Small-cell transformation was diagnosed in 9 patients (10%, 9/84) on their post-TKI biopsy. All their tested baseline adenocarcinoma (n = 7) and post-TKI small-cell carcinoma (n = 9) samples were Rb1-deficient, with additional TP53 (11/11) and PTEN mutations (2/11). Eighteen paired samples from 9 patients without small-cell transformation revealed Rb1-deficiency in one patient (1/9) only. Baseline functional inactivation of Rb1 is nearly universal in EGFR-mutant adenocarcinomas transforming to small-cell carcinomas post-EGFR TKI suggesting that Rb1 loss is prerequisite for small-cell transformation. However, it is likely not sufficient as not all adenocarcinomas with baseline Rb1 loss transform into small-cell carcinomas. Except for TP53 and PTEN, recurrent mutations in other common oncogenes tested were not detected at baseline or at progression. Within the limitation of a small sample size, specific molecular events that drive small-cell transformation remain unclear.

Identifying immunohistochemical biomarkers panel for non-small cell lung cancer in optimizing treatment and forecasting efficacy

BACKGROUND

Chemotherapy and immunotherapy for non-small-cell lung cancer (NSCLC) are gaining momentum. However, its long-term efficacy remains limited to only a small fraction of patients. Hence, it is crucial to identify reliable immunohistochemical biomarkers to facilitate the formulation of optimal treatment strategies and to predict therapeutic outcomes.

METHODS

We retrospectively analyzed a cohort of 140 patients diagnosed with NSCLC who received chemotherapy or immunotherapy. Using bioinformatics analysis and machine learning techniques, we assessed the role of immunohistochemical biomarkers and clinical characteristics in developing a predictive model for treatment options and outcomes in this population.

RESULTS

Our research has found that immunohistochemical biomarkers can accurately predict treatment regimens and progression-free survival in NSCLC patients with an accuracy rate of 82.1%. We identified an exclusive detection panel for the six vital biomarkers. Of particular note is the role of programmed cell death protein 1 ligand 1 (PD-L1) expression in guiding treatment selection, with high expression predicting better outcomes in the immunotherapy group at a cut-off value of 50%. Non-squamous patients who tested positive for thyroid transcription factor 1 had a longer median progression-free survival, while squamous patients who tested positive for p63 protein or cytokeratin 5/6 expression had a longer median progression-free survival.

CONCLUSIONS

The results of our study are highly encouraging, as they revealed a significant correlation between immunohistochemical biomarkers, therapeutic regimens, and prognosis. These findings indicate that our immunohistochemical detection panel has great potential for facilitating customization of therapeutic regimens to improve patient care. The insights gained from this study could help clinicians optimize treatment protocols and ultimately enhance clinical outcomes.

TTF-1 is a highly sensitive but not fully specific marker for pulmonary and thyroidal cancer: a tissue microarray study evaluating more than 17,000 tumors from 152 different tumor entities

Thyroid transcription factor 1 (TTF-1) immunohistochemistry (IHC) is routinely used for the distinction of primary pulmonary adenocarcinomas. However, TTF-1 can also occur in other malignancies. A tissue microarray containing 17,772 samples from 152 different tumor types was analyzed. Napsin-A, CK20, SATB2, FABP1, and Villin-1 IHC data were available from previous studies. TTF-1 staining was seen in 82 of 152 tumor categories including thyroidal cancers (19-100%), adenocarcinomas (94%), neuroendocrine tumors (67%) of the lung, small cell neuroendocrine carcinomas (71-80%), mesenchymal tumors (up to 42%), and thymomas (39%). Comparative analysis of TTF-1 and Napsin-A revealed a sensitivity/specificity of 94%/86% (TTF-1), 87%/98% (Napsin-A), and 85%/99.1% (TTF-1 and Napsin-A) for the distinction of pulmonary adenocarcinomas. Combined analysis of TTF-1 and enteric markers revealed a positivity for TTF-1 and at least one enteric marker in 22% of pulmonary adenocarcinomas but also a TTF-1 positivity in 6% of colorectal, 2% of pancreatic, and 3% of gastric adenocarcinomas. TTF-1 is a marker of high sensitivity but insufficient specificity for pulmonary adenocarcinomas. A small fraction of TTF-1-positive gastrointestinal adenocarcinomas represents a pitfall mimicking enteric-type pulmonary adenocarcinoma. Combined analysis of TTF-1 and Napsin-A improves the specificity of pulmonary adenocarcinoma diagnosis.

Significance of NKX2-1 as a biomarker for clinical prognosis, immune infiltration, and drug therapy in lung squamous cell carcinoma

Background

This study was performed to determine the biological processes in which NKX2-1 is involved and thus its role in the development of lung squamous cell carcinoma (LUSC) toward improving the prognosis and treatment of LUSC.

Methods

Raw RNA sequencing (RNA-seq) data of LUSC from The Cancer Genome Atlas (TCGA) were used in bioinformatics analysis to characterize NKX2-1 expression levels in tumor and normal tissues. Survival analysis of Kaplan-Meier curve, the time-dependent receiver operating characteristic (ROC) curve, and a nomogram were used to analyze the prognosis value of NKX2-1 for LUSC in terms of overall survival (OS) and progression-free survival (PFS). Then, differentially expressed genes (DEGs) were identified, and Kyoto Encyclopedia of Genes and Genomes (KEGG), Gene Ontology (GO), and Gene Set Enrichment Analysis (GSEA) were used to clarify the biological mechanisms potentially involved in the development of LUSC. Moreover, the correlation between the NKX2-1 expression level and tumor mutation burden (TMB), tumor microenvironment (TME), and immune cell infiltration revealed that NKX2-1 participates in the development of LUSC. Finally, we studied the effects of NKX2-1 on drug therapy. To validate the protein and gene expression levels of NKX2-1 in LUSC, we employed immunohistochemistry(IHC) datasets, The Gene Expression Omnibus (GEO) database, and qRT-PCR analysis.

Results

NKX2-1 expression levels were significantly lower in LUSC than in normal lung tissue. It significantly differed in gender, stage and N classification. The survival analysis revealed that high expression of NKX2-1 had shorter OS and PFS in LUSC. The multivariate Cox regression hazard model showed the NKX2-1 expression as an independent prognostic factor. Then, the nomogram predicted LUSC prognosis. There are 51 upregulated DEGs and 49 downregulated DEGs in the NKX2-1 high-level groups. GO, KEGG and GSEA analysis revealed that DEGs were enriched in cell cycle and DNA replication.The TME results show that NKX2-1 expression was positively associated with mast cells resting, neutrophils, monocytes, T cells CD4 memory resting, and M2 macrophages but negatively associated with M1 macrophages. The TMB correlated negatively with NKX2-1 expression. The pharmacotherapy had great sensitivity in the NKX2-1 low-level group, the immunotherapy is no significant difference in the NKX2-1 low-level and high-level groups. The analysis of GEO data demonstrated concurrence with TCGA results. IHC revealed NKX2-1 protein expression in tumor tissues of both LUAD and LUSC. Meanwhile qRT-PCR analysis indicated a significantly lower NKX2-1 expression level in LUSC compared to LUAD. These qRT-PCR findings were consistent with co-expression analysis of NKX2-1.

Conclusion

We conclude that NKX2-1 is a potential biomarker for prognosis and treatment LUSC. A new insights of NKX2-1 in LUSC is still needed further research.

Mutation profile and programmed death ligand 1 status of patients with non-small cell lung cancer diagnosed with "adenocarcinoma" and "non-small cell carcinoma favor adenocarcinoma"

BACKGROUND

The terminology for lung cancer diagnosis in small biopsies was adopted in the 2015 World Health Organization classification. If non-small cell lung cancer (NSCLC) has no clear adenocarcinoma (AD) or squamous cell carcinoma morphology, the tumor is further classified based on mucin or immunohistochemical staining as NSCLC favor AD (NFAD), NSCLC favor squamous cell carcinoma, or NSCLC not otherwise specified. Since this new term was defined, the difference between AD and NFAD has not yet been fully explored. This study aimed to examine the differences in clinical background, gene alteration frequency, and programmed death ligand 1 (PD-L1) expression.

METHODS

We included patients diagnosed with AD or NFAD with small samples, and who underwent testing with the Oncomine Dx target test between August 2019 and April 2023 in Kanagawa Cancer Center.

RESULTS

This study comprised 268 patients. A total of 96 patients underwent surgery after AD or NFAD diagnosis. The clinical stage was more advanced and pathological N0 was lower in NFAD than in AD. The pathology of the surgical specimens revealed that solid predominant AD was significantly more common in NFAD than in AD (p < 0.001). In both AD and NFAD, EGFR mutation was the most frequent gene alteration, followed by KRAS mutation. The frequency of EGFR mutations was significantly higher in AD than in NFAD. PD-L1 expression was significantly higher in NFAD than in AD (p < 0.001).

CONCLUSION

This study shows a clear difference between AD and NFAD in terms of cancer progression, pathological features of the main tumor, genetic characteristics, and PD-L1 expression.

Expression landscapes in non-small cell lung cancer shaped by the thyroid transcription factor 1

TTF-1-expressing non-small cell lung cancer (NSCLC) is one of the most prevalent lung cancer types worldwide. However, theparadoxical activity of TTF-1 in both lung carcinogenesis and tumor suppression is believed to be context-dependentwhich calls for a deeper understanding about the pathological expression of TTF-1. In addition, the expression circuitry of TTF-1-target genes in NSCLC has not been well examined which necessitates to revisit the involvement of TTF-1- in a multitude of oncologic pathways. We used RNA-seq and clinical data of patients from The Cancer Genome Atlas (TCGA) and Genotype-Tissue Expression (GTEx), including ChIP-seq data from different NSCLC cell lines, and mapped the proteome of NSCLC tumor. Our analysis showed significant variability in TTF-1 expression among NSCLC,and further clarified that this variability is orchestrated at the transcriptional level. We also found that high TTF-1 expression could negatively influence the survival outcomes of stage 1 LUAD which may be attributed to growth factor receptor-driven activation of mitogenic and angiogenic pathways. Mechanistically, TTF-1 may also control the genes associated with pathways involved in acquired TKI drug resistance or response to immune checkpoint inhibitors. Lastly, proteome-based biomarker discovery in stage 1 LUAD showed that TTF-1 positivity is potentially associated with the upregulation of several oncogenes which includes interferon proteins, MUC1, STAT3, and EIF2AK2. Collectively, this study highlights the potential involvement of TTF-1 in cell proliferation, immune evasion, and angiogenesis in early-stage NSCLC.

Relationship Between TTF-1 Expression and PFS of Pemetrexed-containing Chemotherapy in Non-squamous-NSCLC Patients With and Without Driver Genes

BACKGROUND/AIM

We performed a retrospective study too clarify whether the presence or absence of driver genes affects the relationship between thyroid transcription factor-1 (TTF-1) expression and response to pemetrexed (PEM) in non-squamous non-small cell lung cancer (non-sq-NSCLC) patients.

PATIENTS AND METHODS

We reviewed the medical charts of patients treated with PEM-containing chemotherapy during the period from February 2016 to February 2022 at Mito Medical Center-University of Tsukuba, Ryugasaki Saiseikai General Hospital, and University of Tsukuba Hospital.

RESULTS

During the period of the study, 185 driver gene-negative patients negative, and 65 driver gene-positive patients were evaluated. Among the 165 driver gene-negative patients, progression free survival (PFS) of TTF-1-expressing patients treated with PEM-containing chemotherapy was significantly longer compared to that of TTF-1-negative patients. In the analysis of 65 driver gene-positive patients, the PFS of TTF-1-positive patients treated with PEM-containing chemotherapy did not differ significantly from that of TTF-1-negative patients. There was no significant difference in PFS between driver gene-negative and driver gene-positive patients treated with PEM-containing chemotherapy. Comparison between four groups defined according to the presence of driver gene and TTF-1 expression indicated shorter PFS only in 'driver gene-negative and TTF-1-negative' patients.

CONCLUSION

In driver gene-positive non-sq NSCLC patients, expression of TTF does not affect the survival outcome of PEM-containing-chemotherapy. In other words, in these patients, second-line or later-line PEM-containing chemotherapy after development of resistance for specific-tyrosine kinase inhibitor could be expected to have the same level of efficacy as first-line PEM containing chemotherapy in driver gene-negative, TTF-1-positive non-sq NSCLC patients.

Malignant pleural effusion cell blocks are reliable resources for PD-L1 analysis in advanced lung adenocarcinomas: a concordance study with matched histologic samples

INTRODUCTION

In lung cancer patients presenting with malignant pleural effusion (MPE), cytology might represent the only source of tumor tissue for diagnosis and predictive biomarker testing. Programmed death ligand 1 (PD-L1) expression in tumor cells is a predictive biomarker for immunotherapy in non-small cell lung carcinomas and is tested using immunohistochemistry. However, knowledge of the validity of PD-L1 testing on MPE samples is limited. We evaluated the feasibility of immunocytochemistry (ICC) for PD-L1 in MPE cell blocks (CBs) and assessed the concordance in expression with patient-matched histologic samples.

MATERIALS AND METHODS

ICC for PD-L1 was performed on formalin-fixed paraffin-embedded CBs of MPE and patient-matched histologic samples, if available, using the automated Ventana PD-L1 SP263 assay. The tumor proportion score (TPS), based on partial or complete membranous tumor cell staining, was categorized as negative (&lt;1%), low (≥1% to &lt;50%), and high (≥50%). In CBs with any degree of PD-L1 expression, ICC for CD163 highlighting macrophages was performed to exclude nonspecific PD-L1 expression in macrophages. The CB PD-L1 TPS was compared with the TPS obtained from the patient-matched histologic samples.

RESULTS

Of 43 MPE CBs available, 25 were positive for PD-L1 (25 of 42; 59%), and 1 sample was inadequate. Of the 11 patient-matched histologic samples tested, the PD-L1 TPS categories were concordant for 10 of the 11 (91% concordance) cases.

CONCLUSIONS

PD-L1 expression in MPE CBs showed good concordance with expression in histologic samples and is feasible as a source for PD-L1 testing. The concurrent use of CD163 immunostains will aid in the manual assessment of PD-L1 TPS.

Clinicopathologic Features and Molecular Biomarkers as Predictors of Epidermal Growth Factor Receptor Gene Mutation in Non-Small Cell Lung Cancer Patients

Lung cancer ranks first in the incidence and mortality of cancer in the world, of which more than 80% are non-small cell lung cancer (NSCLC). The majority of NSCLC patients are in stage IIIB~IV when they are admitted to hospital and have no opportunity for surgery. Compared with traditional chemotherapy, specific targeted therapy has a higher selectivity and fewer adverse reactions, providing a new treatment direction for advanced NSCLC patients. Tyrosine kinase inhibitors of epidermal growth factor receptor (EGFR-TKIs) are the widely used targeted therapy for NSCLC patients. Their efficacy and prognosis are closely related to the mutation status of the EGFR gene. Clinically, detecting EGFR gene mutation is often limited by difficulty obtaining tissue specimens, limited detecting technology, and economic conditions, so it is of great clinical significance to find indicators to predict EGFR gene mutation status. Clinicopathological characteristics, tumor markers, liquid biopsy, and other predictors are less invasive, economical, and easier to obtain. They can be monitored in real-time, which is supposed to predict EGFR mutation status and provide guidance for the accurate, individualized diagnosis and therapy of NSCLC patients. This article reviewed the correlation between the clinical indicators and EGFR gene mutation status in NSCLC patients.