Clinical insights into small cell lung cancer: Tumor heterogeneity, diagnosis, therapy, and future directions

Neoadjuvant chemoimmunotherapy for small cell carcinoma of the esophagus: Clinical efficacy and biomarker exploration

Small cell carcinoma of the esophagus (SCCE) is a rare and highly malignant type of esophageal cancer with no standard treatment, facing challenges of resistance to conventional therapies. This study presents the cases of one extensive-stage and two limited-stage SCCE patients treated with chemoimmunotherapy. The two limited-stage patients underwent surgery post-treatment and experienced notable and enduring positive responses. This represents the first documented application of neoadjuvant chemoimmunotherapy in limited-stage SCCE patients. Additionally, comprehensive immunohistochemical analysis and whole exome sequencing were performed on the case patients. The findings revealed that infiltration of CD8+ T cells and PD-L1 expression in the SCCE tumor were key factors for favorable responses in SCCE patients receiving chemoimmunotherapy.

Small cell lung carcinoma metastatic to the stomach: Commonly overlooked, limited treatment options

Small cell lung carcinoma metastatic to the stomach, whether synchronous or metachronous, is a rare phenomenon accounting for < 0.5% of lung cancers. Hence it can be overlooked by clinicians resulting in delayed diagnosis. This manuscript comments on Yang et al's article which reported 3 such cases. The main diagnostic features are based on routine morphology comprised of small cells with hyperchromatic nuclei, scant cytoplasm, brisk mitoses and necrosis. This can be supplemented by immunohistochemistry demonstrating positivity for cytokeratin, thyroid transcription factor-1 and neuroendocrine markers as well as a high Ki-67 labelling index. Imaging modalities such as positron emission tomography/contrast computed tomography help to confirm lung origin and rule out the possibility of extra-pulmonary small cell carcinoma. The predominant mechanism of spread is most likely hematogeneous. Prognosis is generally poor since this represents stage 4 disease but survival can be improved by chemo/radiotherapy and palliative surgery in select cases. Though outcomes have not changed much in the last several decades, the recent Food and Drug Administration approval of immune checkpoint inhibitors was a significant milestone as was the delineation of small cell lung carcinoma molecular subtypes. Liquid biopsies are increasingly being used for biomarker studies in clinical trials to assess treatment response and prognosis.

Proteomic profiling reveals the significance of lipid metabolism in small cell lung cancer recurrence and metastasis

BACKGROUND

Small cell lung cancer (SCLC) is a lethal and recalcitrant malignancy with early metastases. However, the molecular and cellular mechanisms underlying its aggressive characteristics remain relatively elusive.

METHODS

In this study, we conducted a comprehensive proteomic analysis of 90 primary tumors, 15 patient-matched lymph node metastatic tumors, and 15 brain metastatic tumors derived from a cohort of 105 SCLC patients. The potential mechanism for SCLC metastasis was investigated based on the variety of protein expression profiles.

RESULTS

Primary tumors were divided into two categories according to the their different protein expression profiles, using metastatic tumors as reference. Proteomic comparisons across different groups revealed that lipid metabolism, especially phospholipid metabolism, and immune response had a critical role in SCLC metastasis. Additionally, it was shown that high- and low-density lipoprotein cholesterol were both independent prognostic factors for disease free survival of SCLC patients. To identify critical regulators of metastasis in SCLC, support vector machine was adopted to generate a biomarker combination of ten proteins, all of which significantly correlated with the infiltration of immune cells. Furthermore, it was demonstrated that high expression of phospholipase A2 group IIA in stroma was associated with delayed disease recurrence in limited stage SCLC.

CONCLUSIONS

This study highlighted the critical significance of lipid metabolism, especially phospholipid metabolism in the disease recurrence and metastasis of SCLC.

Immunochemotherapy for small cell lung cancer with paraneoplastic Cushing syndrome: A case report and literature review

RATIONALE

Paraneoplastic Cushing syndrome (PCS) is an adverse prognostic factor for small cell lung cancer (SCLC) patients. Retrospective studies have shown that the median survival of SCLC complicated with PCS was <7 months. No immunochemotherapy has been recorded in the treatment of SCLC with PCS. Previous preclinical and clinical studies have suggested glucocorticoid exposure may affect the efficacy of immunotherapy.

PATIENT CONCERNS AND DIAGNOSIS

A 60-year-old man was admitted for his irritability and palpitation. During hospitalization, a chest computed tomography scan revealed a lobar soft tissue shadow in his left lower lung. He was diagnosed as limited-stage SCLC (T2bN1M0 IIB) with PCS, ultimately.

INTERVENTIONS AND OUTCOME

The patient received 4 courses of immunochemotherapy of etoposide plus platinum with durvalumab and 1 adjuvant radiotherapy alone in 2022 for his limited-stage SCLC, and underwent 5 courses of immunochemotherapy of irinotecan plus platinum with serplulimab in 2023 for his extensive-stage SCLC. The patient achieved a long survival of 20 months.

LESSONS

The case preliminarily demonstrated the efficacy of immunochemotherapy in the management of SCLC complicated with PCS. The regime of serplulimab with irinotecan-based chemotherapy also indicated its satisfactory efficacy as a second-line treatment for extensive-stage SCLC. Furthermore, the case has highlighted that the management of hypercortisolism, the improvement of myelosuppression, and the prophylaxis against infection were 3 hinges for the continuation of immunochemotherapy and the holistic management of SCLC with PCS.

Metabolic shifts in lipid utilization and reciprocal interactions within the lung metastatic niche of triple-negative breast cancer revealed by spatial multi-omics

The Triple-Negative Breast Cancer (TNBC) subtype constitutes 15-20% of breast cancer cases and is associated with the poorest clinical outcomes. Distant metastasis, particularly to the lungs, is a major contributor to the high mortality rates in breast cancer patients. Despite this, there has been a lack of comprehensive insights into the heterogeneity of metastatic tumors and their surrounding ecosystem in the lungs. In this study, we utilized spatial RNA sequencing technology to investigate the heterogeneity of lung metastatic tumors and their microenvironment in two spontaneous lung metastatic mouse models. Our findings revealed an increase in metabolic-related genes within the cancer cells, with the hub gene Dlat (Dihydrolipoamide S-Acetyltransferase) showing a significant association with the development of lung metastatic tumors. Upregulation of Dlat led to the reprogramming of fatty acid utilization, markedly enhancing the bioenergetic capacity of cancer cells. This finding was corroborated by the increased dependence on fatty acid utilization in lung metastatic cancer cells, and inhibition of Dlat in breast cancer cells exhibited a reduced oxygen consumption rate. Consequently, inhibition of Dlat resulted in decreased survival capacity of breast cancer by reducing cancer stem cell properties and cell adhesion in the lung in vivo. The three cell components within the lung metastatic niche, including CD163+ macrophages, neutrophils, and endothelial cells, expressed elevated levels of ApoE, leading to the secretion of various protumorigenic molecules that promote cancer cell growth in the lung. These molecules include galectin-1, S100A10, S100A4, and S100A6. Collectively, our findings highlight the lipid metabolism reprogramming of cancer and components of the tumor microenvironment that support lung metastasis of TNBC breast cancer.

Advances in biomarkers for immunotherapy in small-cell lung cancer

Small-cell lung cancer (SCLC) is a refractory cancer with rapid growth and high aggressiveness. Extensive-stage SCLC is initially sensitive to chemotherapy; however, drug resistance and recurrence occur rapidly, resulting in a poor survival outcome due to lack of subsequently efficient therapy. The emergence of immune checkpoint inhibitors (ICIs) generated a new landscape of SCLC treatment and significantly prolonged the survival of patients. However, the unselected immunotherapy restrains both beneficiary population and responsive period in SCLC compared to the other tumors. The complex tumor origin, high heterogeneity, and immunosuppressive microenvironment may disturb the value of conventional biomarkers in SCLC including programmed cell death 1 ligand 1 and tumor mutation burden. Transcriptional regulator-based subtypes of SCLC are current research hotspot, revealing that Y (I) subtype can benefit from ICIs. Additionally, molecules related to immune microenvironment, immunogenicity, epigenetics, and SCLC itself also indicated the therapeutic benefits of ICIs, becoming potential predictive biomarkers. In this review, we discussed the advances of biomarkers for prediction and prognosis of immunotherapy, promising directions in the future, and provide reference and options for precision immunotherapy and survival improvement in patients with SCLC.

Blocking lncRNA HCG18 re-sensitizes Taxol resistant lung cancer cells to Taxol through modulating the miR-34a-5p/HDAC1 axis

Lung cancer is one of the most frequently diagnosed cancers worldwide, associated with a poor survival rate. Taxol (Paclitaxel) is commonly used as a chemotherapeutic treatment for advanced lung cancers. While Taxol has improved clinical outcomes for lung cancer patients, a significant number of them develop resistance to Taxol, resulting in treatment failure. The role of the long noncoding RNA HCG18 in lung cancer and Taxol resistance has not yet been fully understood. To investigate this, we examined the expression of HCG18 and miR-34a-5p in lung tumors and normal lung tissues using qRT-PCR. We also assessed Taxol resistance through cell viability and apoptosis assays. Through the starBase online service, we analyzed the interactions between lncRNA and mRNA as well as miRNA and mRNA. We further validated the association between lncRNA and miRNA through luciferase and RNA pull-down assays. Our findings demonstrated that HCG18 was significantly upregulated in lung cancer tissues compared to normal lung tissues. Silencing HCG18 increased the sensitivity of lung cancer cells to Taxol. Additionally, our study established a Taxol-resistant cell line and observed a substantial upregulation of HCG18 in Taxol-resistant lung cancer cells. Bioinformatic analysis predicted that HCG18 could bind to miR-34a-5p, forming a competing endogenous RNA network, which was confirmed through luciferase assay. We found that miR-34a-5p was downregulated in lung cancer tissues and negatively correlated with Taxol resistance, as it directly bound to the 3'UTR region of HDAC1. Further results showed that inhibition of HCG18 significantly increased miR-34a-5p expression and sensitized lung cancer cells to Taxol. This sensitization could be reversed by inhibiting miR-34a-5p. Finally, we demonstrated in a xenograft mouse model that inhibition of HCG18 sensitized Taxol-resistant lung cancer cells to Taxol treatment by modulating the miR-34a-5p-HDAC1 axis. In conclusion, our in vitro and in vivo results uncover a novel molecular mechanism by which HCG18 promotes Taxol resistance through modulation of the miR-34a-5p/HDAC1 axis. These findings contribute to the diagnosis and treatment of chemo-resistant lung cancer.

Lung cancer research and treatment: global perspectives and strategic calls to action

BACKGROUND

Lung cancer remains a critical public health issue, presenting multifaceted challenges in prevention, diagnosis, and treatment. This article aims to review the current landscape of lung cancer research and management, delineate the persistent challenges, and outline pragmatic solutions.

MATERIALS AND METHODS

Global experts from academia, regulatory agencies such as the Food and Drug Administration (FDA) and the European Medicines Agency (EMA), the National Cancer Institute (NCI), professional societies, the pharmaceutical and biotech industries, and patient advocacy groups were gathered by the New York Lung Cancer Foundation to review the state of the art in lung cancer and to formulate calls to action.

RESULTS

Improving lung cancer management and research involves promoting tobacco cessation, identifying individuals at risk who could benefit from early detection programs, and addressing treatment-related toxicities. Efforts should focus on conducting well-designed trials to determine the optimal treatment sequence. Research into innovative biomarkers and therapies is crucial for more personalized treatment. Ensuring access to appropriate care for all patients, whether enrolled in clinical trials or not, must remain a priority.

CONCLUSIONS

Lung cancer is a major health burden worldwide, and its treatment has become increasingly complex over the past two decades. Improvement in lung cancer management and research requires unified messaging and global collaboration, expanded education, and greater access to screening, biomarker testing, treatment, as well as increased representativeness, participation, and diversity in clinical trials.

Isovalerylspiramycin I suppresses small cell lung cancer proliferation via ATR/CHK1 mediated DNA damage response and PERK/eIF2α/ATF4/CHOP mediated ER stress

Small cell lung cancer (SCLC) urgently needs new therapeutic approaches. We found that the antibiotic-derived compound Isovalerylspiramycin I (ISP-I) has potent anti-tumor activity against SCLC cell lines H1048 and DMS53 both in vitro and in vivo. ISP-I induced apoptosis, G2/M phase cell cycle arrest, and mitochondrial respiratory chain dysfunction in both cell lines. Comprehensive RNA sequencing revealed that the anti-SCLC effects of ISP-I were primarily attributed to ATR/CHK1-mediated DNA damage response and PERK/eIF2α/ATF4/CHOP-mediated ER stress. Importantly, the induction of DNA damage, ER stress, and apoptosis by ISP-I was mitigated by the reactive oxygen species (ROS) scavenger N-acetyl-L-cysteine (NAC), underscoring the critical role of ROS in the anti-SCLC mechanism of ISP-I. Moreover, ISP-I treatment induced immunogenic cell death (ICD) in SCLC cells, as evidenced by increased adenosine triphosphate (ATP) secretion, elevated release of high-mobility group box 1 (HMGB1), and enhanced exposure of calreticulin (CRT) on the cell surface. Additionally, network pharmacology analysis, combined with cellular thermal shift assay (CETSA) and cycloheximide (CHX) chase experiments, demonstrated that ISP-I acted as a ligand for apurinic/apyrimidinic endonuclease 1 (APEX1) and promoted its degradation, leading to the accumulation of ROS. In conclusion, our findings elucidate the multifaceted mechanisms underlying the anti-cancer effects of ISP-I, highlighting its potential as a promising therapeutic candidate for SCLC treatment.

Chemiluminescent Fe3O4@Nickel-Cobalt Double Hydroxide Magnetic Core-Shell Nanomaterial as an Analytical Interface for Label-Free CYFRA21-1 Immunosensing

Cytokeratin 19 fragment (CYFRA21-1) is considered to be a potential marker for the diagnosis and of classification of lung cancer. It is highly desired to develop rapid and highly sensitive label-free chemiluminescence (CL) immunosensors for the detection of CYFRA21-1. In this work, magnetic core-shell nanocomposite Fe3O4@nickel-cobalt double hydroxide (Fe3O4@DH) was used for the first time as a carrier to synthesize N-(4-aminobutyl)-N-ethylisoluminol (ABEI) and gold and silver nanocluster (AuAgNC) bifunctionalized magnetic nanomaterials Fe3O4@DH/AuAgNCs-ABEI. The resulting Fe3O4@DH/AuAgNCs-ABEI demonstrated excellent CL performance, attributed to the exceptional catalytic capability of nickel-cobalt double hydroxide (NiCo-DH) and AuAgNCs, as well as the large specific surface area of NiCo-DH for AuAgNCs and ABEI enrichment. Moreover, Fe3O4@DH/AuAgNCs-ABEI exhibited superior stability compared to Fe3O4-based CL-functionalized magnetic nanomaterials, owing to the presence of NiCo-DH shells. On this basis, a label-free CL immunosensor using CYFRA21-1 antibody-modified Fe3O4@DH/AuAgNCs-ABEI as an analytical interface was constructed for the detection of CYFRA21-1 in the range from 1.0 × 10-13 to 1.0 × 10-8 g/mL. The detection limit of this CL immunosensor was 47.7 fg/mL, 4 orders of magnitude lower than existing CL methods. The CL immunosensor was able to accurately detect the concentration of CYFRA21-1 in serum samples, as evidenced by ELISA results. More importantly, it not only distinguished well between healthy persons and lung cancer patients (90.0% sensitivity and 90.0% specificity), but also effectively distinguished between patients with non-small cell lung cancer and small cell lung cancer (80.0% sensitivity and 86.7% specificity).

Small cell lung cancer with liver metastases: from underlying mechanisms to treatment strategies

Small cell lung cancer (SCLC) represents an aggressive neuroendocrine (NE) tumor within the pulmonary region, characterized by very poor prognoses. Druggable targets for SCLC remain limited, thereby constraining treatment options available to patients. Immuno-chemotherapy has emerged as a pivotal therapeutic strategy for extensive-stage SCLC (ES-SCLC), yet it fails to confer significant efficacy in cases involving liver metastases (LMs) originating from SCLC. Therefore, our attention is directed towards the challenging subset of SCLC patients with LMs. Disease progression of LM-SCLC patients is affected by various factors in the tumor microenvironment (TME), including immune cells, blood vessels, inflammatory mediators, metabolites, and NE substances. Beyond standard immuno-chemotherapy, ongoing efforts to manage LMs in SCLC encompass anti-angiogenic therapy, radiotherapy, microwave ablation (MWA) / radiofrequency ablation (RFA), trans-arterial chemoembolization (TACE), and systemic therapies in conjunction with local interventions. Prospective experimental and clinical investigations into SCLC should prioritize precise and individualized approaches to enhance the prognosis across distinct patient cohorts.

Basal cell of origin resolves neuroendocrine-tuft lineage plasticity in cancer

Neuroendocrine and tuft cells are rare, chemosensory epithelial lineages defined by expression of ASCL1 and POU2F3 transcription factors, respectively1,2. Neuroendocrine cancers, including small cell lung cancer (SCLC), frequently display tuft-like subsets, a feature linked to poor patient outcomes3-13. The mechanisms driving neuroendocrine-tuft tumour heterogeneity, and the origins of tuft-like cancers are unknown. Using multiple genetically-engineered animal models of SCLC, we demonstrate that a basal cell of origin (but not the accepted neuroendocrine origin) generates neuroendocrine-tuft-like tumours that highly recapitulate human SCLC. Single-cell clonal analyses of basal-derived SCLC further uncovers unexpected transcriptional states and lineage trajectories underlying neuroendocrine-tuft plasticity. Uniquely in basal cells, introduction of genetic alterations enriched in human tuft-like SCLC, including high MYC, PTEN loss, and ASCL1 suppression, cooperate to promote tuft-like tumours. Transcriptomics of 944 human SCLCs reveal a basal-like subset and a tuft-ionocyte-like state that altogether demonstrate remarkable conservation between cancer states and normal basal cell injury response mechanisms14-18. Together, these data suggest that the basal cell is a plausible origin for SCLC and other neuroendocrine-tuft cancers that can explain neuroendocrine-tuft heterogeneity-offering new insights for targeting lineage plasticity.

Molecular Interactions of the Plant Steroid Hormone Epibrassinolide on Human Drug-Sensitive and Drug-Resistant Small-Cell Lung Carcinoma Cells

Background: Small-cell lung cancer (SCLC) has a poor prognosis because it is often diagnosed after it has spread and develops multi-drug resistance. Epibrassinolide (EB) is a plant steroid hormone with widespread distribution and physiological effects. In plants, EB-activated gene expression occurs via a GSK-mediated signaling pathway, similar to Wnt-β-catenin signaling in animal cells that is elevated in cancer cells. Methods: This mechanistic parallel prompted investigations of the molecular interactions of EB on drug-sensitive (H69) and multi-drug-resistant (VPA) SCLC cells. Cellular and molecular investigations were performed. Results: Pharmacologic interactions between EB and the Wnt signaling inhibitors IGC-011 and PRI-724 were determined by the combination index method and showed antagonism, indicating that EB acts on the same pathway as these inhibitors. Following incubation of drug-sensitive and drug-resistant SCLC cells with EB, there was a reduction in β-catenin (e.g., 3.8 to 0.7 pg/µg protein), accompanied by a reduction in β-catenin promoter activity, measured by firefly luciferase-coupled promoter element transfection. Cellular β-catenin concentration is regulated by the active form of GSK3β. In Wnt signaling, active GSK3β is converted to inactive pGSK3β, thereby increasing the concentration of β-catenin. After incubation of SCLC cells with EB, there was a reduction in the inactive form (pGSK3β) and a relative increase in the active form (GSK3β). In vitro enzyme assays showed that EB did not inhibit purified GSK3β, but there was non-competitive inhibition when SCLC cell extracts were used as the source of enzyme. This indirect inhibition by EB indicates that it may act on the Wnt pathway by blocking the phosphorylation of GSK3β. The protein levels of three SCLC tumor markers, namely, NSE, CAV1, and MYCL1, were elevated in drug-resistant SCLC cells. EB incubation led to a significant reduction in the levels of the three markers. Two major effects of EB on SCLC cells are the promotion of apoptosis and the reversal of drug resistance. Transcriptional analyses showed that after exposure of SCLC cells to EB, there were increases in the expression of genes encoding apoptotic inducers (e.g., BAX and FAS) and effectors (e.g., CASP3) and reductions in the expression of genes encoding apoptosis inhibitors (e.g., survivin). PGP1 and MRP1, two membrane efflux pumps expressed in SCLC cells, were elevated in drug-resistant cells, but EB incubation did not affect these protein levels. Cellular assays of drug efflux by PGP1 showed an increase in drug-resistant cells, but EB did not alter efflux activity. Following exposure to human liver microsomes, EB was metabolized by NADPH-dependent oxidation and UDPG-dependent glucuronidation, as evidenced by the elimination of EB cytotoxicity against SCLC cells. Conclusions: Taken together, these data indicate that EB, a steroid hormone in plants consumed in the human diet, is pharmacologically active in drug-sensitive and drug-resistant SCLC cells in the Wnt signaling pathway, alters apoptotic gene expression, and is a substrate for microsomal modifications.

Recent advances in immunotherapy for small cell lung cancer

PURPOSE OF REVIEW

This review aims to provide an overview of recent advances in immunotherapy for small cell lung cancer (SCLC), with a focus on the current status of immune checkpoint inhibitors (ICIs), novel combination strategies, and key biomarkers.

RECENT FINDINGS

The integration of ICIs into standard chemotherapy has established them as the first-line treatment for extensive-stage SCLC (ES-SCLC). The ADRIATIC trial further demonstrated the efficacy of ICI maintenance therapy in limited-stage SCLC. Additionally, combining radiotherapy with ICIs has shown promising synergistic effects, including the abscopal and radscopal effects. Ongoing investigations into the combination of ICIs with targeted therapies, such as antiangiogenic agents and DNA damage response inhibitors, have yielded encouraging preliminary results. Notably, the novel therapeutic agent tarlatamab, the first bispecific DLL3-directed CD3 T-cell engager, has recently received FDA approval for second-line treatment of ES-SCLC. Advances in omics technologies have shed light on the intra-tumor and inter-tumor heterogeneity of SCLC, leading to the identification of new molecular subtypes and biomarkers, thereby paving the way for precision medicine.

SUMMARY

Despite the improved outcomes associated with immunotherapy in SCLC, the overall clinical benefit remains modest. Further preclinical and clinical studies are essential to identify optimal treatment regimens and enhance therapeutic efficacy.

2.5D deep learning based on multi-parameter MRI to differentiate primary lung cancer pathological subtypes in patients with brain metastases

BACKGROUND

Brain metastases (BMs) represents a severe neurological complication stemming from cancers originating from various sources. It is a highly challenging clinical task to accurately distinguish the pathological subtypes of brain metastatic tumors from lung cancer (LC).The utility of 2.5-dimensional (2.5D) deep learning (DL) in distinguishing pathological subtypes of LC with BMs is yet to be determined.

METHODS

A total of 250 patients were included in this retrospective study, divided in a 7:3 ratio into training set (N=175) and testing set (N=75). We devised a method to assemble a series of two-dimensional (2D) images by extracting adjacent slices from a central slice in both superior-inferior and anterior-posterior directions to form a 2.5D dataset. Multi-Instance learning (MIL) is a weakly supervised learning method that organizes training instances into "bags" and provides labels for entire bags, with the purpose of learning a classifier based on the labeled positive and negative bags to predict the corresponding class for an unknown bag. Therefore, we employed MIL to construct a comprehensive 2.5D feature set. Then we used the single-slice as input for constructing the 2D model. DL features were extracted from these slices using the pre-trained ResNet101. All feature sets were inputted into the support vector machine (SVM) for evaluation. The diagnostic performance of the classification models were evaluated using five-fold cross-validation, with accuracy and area under the curve (AUC) metrics calculated for analysis.

RESULTS

The optimal performance was obtained using the 2.5D DL model, which achieved the micro-AUC of 0.868 (95% confidence interval [CI], 0.817-0.919) and accuracy of 0.836 in the test cohort. The 2D model achieved the micro-AUC of 0.836 (95 % CI, 0.778-0.894) and accuracy of 0.827 in the test cohort.

CONCLUSIONS

The proposed 2.5D DL model is feasible and effective in identifying pathological subtypes of BMs from lung cancer.

Exercise's impact on lung cancer molecular mechanisms: a current overview

Lung cancer is the major cause of cancer-related deaths worldwide with an estimated 1.8 million deaths and 2.4 million new cases in 2022. Poor cardiorespiratory fitness, dyspnea and fatigue are the common features in lung cancer patients, partially limiting the exercise prescription. Exercise improves cardiorespiratory and muscular fitness and reduces the risk of some types of cancer, including lung cancer. Recently, the American Society of Clinical Oncology has encouraged preoperative exercise for lung cancer patients. Nonetheless, only limited data, mostly obtained from mouse models of lung cancer, are available on the molecular effects of exercise in lung cancer. Thus, the present minireview aims to shed light on the molecular mechanisms induced by different type of exercise in lung cancer. In particular, the role of the exercise in tumor microenvironment remodeling, angiogenesis, gene expression, apoptosis and intermediate metabolism will be examined.

Real-world comparison of chemo-immunotherapy and chemotherapy alone in the treatment of extensive-stage small-cell lung cancer

INTRODUCTION

Small cell lung cancer (SCLC) is a high-grade neuroendocrine carcinoma responsible for 200,000 deaths per year worldwide. Platinum-etoposide-based chemotherapy has been the standard of treatment for the past 40 years, with an overall survival of 10 months. Since 2019, the addition of immunotherapy (atezolizumab or durvalumab) to chemotherapy has become the standard of care for first-line treatment of extensive-stage SCLC following the demonstration of an improvement in overall survival in phase 3 studies. We aimed to evaluate the efficacy and safety of chemo-immunotherapy compared with chemotherapy alone in a "real-world" setting.

METHODS

Retrospective observational study including patients undergoing first-line treatment for extensive-stage SCLC between 2014 and 2022. We separated the study population into two arms (chemo-immunotherapy/chemotherapy). For each arm, progression-free survival (PFS), overall survival (OS) and serious side effects were collected. Associations between treatments and survival outcomes were adjusted for potential confounders. Consolidative palliative thoracic radiotherapy was introduced in the models as a time-dependent variable.

RESULTS

A total of 118 patients with a median age of 63 years were included. 65.2 % of patients were performance status 0 or 1. In univariate analysis, PFS and OS were not significantly different between the chemo-immunotherapy and chemotherapy alone groups (p = 0.70 and 0.24 respectively). In multivariate analysis, the addition of immunotherapy to chemotherapy was not significantly associated with better PFS (HR 0.76, IC (0.49 - 1.19), p = 0.23), but it was significantly associated with better OS (HR 0.61, IC (0.38 - 0.98), p = 0.04). Consolidative palliative thoracic radiotherapy (time-dependent variable), when applied (almost only in the chemotherapy alone group), was significantly associated with better PFS and OS.

DISCUSSION

In this real-world study, chemo-immunotherapy was associated with slightly better OS compared to chemotherapy alone as a first-line treatment in ES-SCLC patients in multivariate analysis, which is not explained by a benefit in PFS. However, consolidative palliative thoracic radiotherapy seems to be significantly associated with better OS and PFS, suggesting that we should also consider using it in patients receiving chemo-immunotherapy.

The interplay of EBV virus and cell metabolism in lung cancer

Epstein-Barr virus infection has been implicated in various cancers, including lung cancer, where it influences cellular metabolism to promote tumorigenesis. This review examines the complex interplay between Epstein-Barr virus and cell metabolism in lung cancer, highlighting viral mechanisms of metabolic reprogramming and their implications for therapeutic strategies. Key viral proteins such as LMP1 and LMP2A manipulate glycolysis, glutaminolysis and lipid metabolism to support viral replication and immune evasion within the tumour microenvironment. Understanding these interactions provides insights into novel therapeutic approaches targeting viral-induced metabolic vulnerabilities in Epstein-Barr virus-associated lung cancer.

Anti-N-Methyl-D-Aspartate Receptor (Anti-NMDAR) Encephalitis in Small Cell Lung Cancer: A Case Report

Anti-N-methyl-D-aspartate receptor (anti-NMDAR) encephalitis is an autoimmune encephalitis characterized by psychiatric and neurological symptoms. It often presents as a paraneoplastic manifestation and is rarely associated with small cell lung cancer. While treatment usually involves immunotherapy and treatment of underlying malignancy, the patient's condition can complicate treatment decisions. A 66-year-old man presented to the emergency department with a chief complaint of fever and impaired consciousness. Tests revealed anti-NMDAR encephalitis and small cell lung cancer. Despite immunotherapy, including steroids, intravenous immunoglobulin, and rituximab, chemotherapy was not possible due to the patient's poor condition. Immunotherapy treatment was continued, but there was no improvement in his state of consciousness, and death was confirmed on the 101st day of hospitalization. Anti-NMDAR encephalitis caused by small cell carcinoma is treated with immunotherapy and cancer therapy; only immunotherapy is not enough.

Timing of chemotherapy after diagnosis of small cell lung cancer

Systemic chemotherapy is the backbone of therapeutic management in small cell lung cancer (SCLC) and delay of treatment may lead to adverse patient outcomes. This study was conducted to determine the time elapsed between pathological diagnosis and initiation of chemotherapy in SCLC patients and to evaluate its clinical significance. A total of 323 pathologically confirmed SCLC patients were enrolled in the study and analyzed retrospectively. The median value of the patients' time to treatment was used as the cut-off value in distinguishing between early and late chemotherapy. The median (range) of the time interval between the pathological diagnosis and the initiation of chemotherapy was 18 days (1-257). Compared with other clinical variables, only the performance status of patients was significantly associated with the time from diagnosis to initiation of chemotherapy; patients with poor prognostic factors received chemotherapy earlier than other patients (32.9 vs 18.9%, p = 0.004, and 14.5 vs 19 days, p = 0.006). Although patients who received early treatment were found to live less, there was no statistically significant difference in overall survival in patients according to the timing of chemotherapy administration (p = 0.08). In conclusion, there are controversial results about the timing of chemotherapy administration to SCLC patients. More standardized definitions and guides for calculation of the time interval between diagnosis and treatment are needed to better understand the delays in the treatment of patients with clinically rapidly disseminating SCLC.

CAR-T cell therapy: Challenge and opportunity for effective treatment of small cell lung cancer

Small cell lung cancer (SCLC) is a devastating malignancy characterized by rapid metastasis, drug resistance, and frequent recurrence. Owing to the paucity of existing therapeutic options, the prognosis of SCLC remains poor. Recently, the combination of immune checkpoint inhibitors and chemotherapy has resulted in modest improvements in treatment responses. In this review, we characterize the biological signature of SCLC and outline the obstacles to current treatment, including impaired antigen presentation and T cell infiltration. These obstacles may potentially be overcome by chimeric antigen receptor (CAR)-T cell therapy. For the first time, we summarize the available data and discuss the future prospects of CAR-T cell therapy for the treatment of SCLC. Given the high heterogeneity and immunosuppressive tumor microenvironment of SCLC, structural modifications of CAR-T cells and combination therapy may be required to elicit a successful antitumor response. Further research, including clinical trials, is needed to determine the suitability of CAR-T cell therapy as a treatment for SCLC.

Gastric metastasis of small cell lung carcinoma: A rare but noteworthy entity to consider

Small cell lung carcinoma (SCLC) is an aggressive malignancy known for its propensity for early and extensive metastatic spread. Gastric metastasis, where cancer cells disseminate from the lung to the stomach, is a rare but increasingly recognized complication of SCLC. This review provides a comprehensive overview of gastric metastasis in SCLC, addressing its clinical significance, diagnostic challenges, management strategies, and prognosis. Additionally, it examines the broader metastatic patterns of SCLC and compares them with other malignancies known for gastric metastasis. Gastric metastasis in SCLC, though infrequent, is clinically significant and often indicates advanced disease with a poor prognosis. SCLC typically metastasizes to the liver, brain, bones, and adrenal glands, with the stomach being an unusual site. The incidence of gastric metastasis ranges from 1% to 5% in autopsy studies, although this may be underestimated due to diagnostic difficulties and asymptomatic early lesions. Diagnosing gastric metastasis presents several challenges, including the asymptomatic nature of many cases, limitations of conventional imaging techniques, and difficulties in distinguishing metastatic lesions from primary gastric cancer via endoscopy. Histopathological diagnosis requires careful examination to identify SCLC cells through their characteristic small cell morphology and neuroendocrine markers. Management of gastric metastasis in SCLC typically involves a multidisciplinary approach. Systemic therapy, primarily chemotherapy, remains the cornerstone of treatment, with palliative care addressing symptoms and complications. Surgical intervention is usually reserved for specific cases requiring symptomatic relief. The prognosis for patients with gastric metastasis from SCLC is generally poor, reflecting the advanced stage of the disease. Median survival is significantly reduced compared to patients without gastric metastasis. This review emphasizes the need for enhanced awareness and early detection to improve patient outcomes and highlights the importance of ongoing research into better diagnostic and therapeutic strategies.

Small-cell carcinoma in the head and neck region: A propensity score-matched analysis of the effect of surgery

BACKGROUND

Head and neck small-cell carcinoma (HNSmCC) is a rare and aggressive cancer with a high tendency for distant metastasis. It is treated with multimodal treatment involving chemotherapy. Occasionally, surgery is performed for the management of locoregional HNSmCC. However, the benefits of surgery in this context have not yet been elucidated. Therefore, in this study, we aimed to investigate whether surgery could improve the survival of patients with HNSmCC.

PATIENTS AND METHODS

We obtained data from patients with locoregional HNSmCC treated with chemoradiation therapy (CRT) from the Surveillance, Epidemiology, and End Results database. Patients who did and did not undergo surgery were matched using propensity scores. The overall survival (OS) and disease-specific survival (DSS) rates were estimated using the Kaplan-Meier method and tested using the log-rank test. Hazard ratios (HRs) were calculated using the Cox proportional hazard model.

RESULTS

The 5-year OS rates of the patients who did and did not undergo surgery were 57.2% and 50.6%, respectively (P = 0.689); the corresponding 5-year DSS rates were 61.0% and 57.5% (P = 0.769). The adjusted HRs for surgery were 0.85 (95% confidence interval [CI]: 0.54-1.33) for OS and 0.87 (95% CI: 0.51-1.49) for DSS.

CONCLUSION

The addition of surgery to CRT did not improve the survival of patients with locoregional HNSmCC.

Emerging Nanomedicine Approaches in Targeted Lung Cancer Treatment

Lung cancer, the leading cause of cancer-related deaths worldwide, is characterized by its aggressive nature and poor prognosis. As traditional chemotherapy has the disadvantage of non-specificity, nanomedicine offers innovative approaches for targeted therapy, particularly through the development of nanoparticles that can deliver therapeutic agents directly to cancer cells, minimizing systemic toxicity and enhancing treatment efficacy. VEGF and VEGFR are shown to be responsible for activating different signaling cascades, which will ultimately enhance tumor development, angiogenesis, and metastasis. By inhibiting VEGF and VEGFR signaling pathways, these nanotherapeutics can effectively disrupt tumor angiogenesis and proliferation. This review highlights recent advancements in nanoparticle design, including lipid-based, polymeric, and inorganic nanoparticles, and their clinical implications in improving lung cancer outcomes, exploring the role of nanomedicine in lung cancer diagnoses and treatment.

Preclinical study and phase II trial of adapting low-dose radiotherapy to immunotherapy in small cell lung cancer

BACKGROUND

Immune checkpoint inhibitors (ICIs) provide modest but unsatisfactory benefits for extensive-stage small cell lung cancer (ES-SCLC). Developing strategies for treating ES-SCLC is critical.

METHODS

We preliminarily explored the outcomes of salvage low-dose radiotherapy (LDRT) plus ICI on refractory SCLC patients. Next, we evaluated the combinational efficacy in murine SCLC. The tumor immune microenvironment (TIME) was analyzed for mechanistic study. Subsequently, we conducted a multicenter, prospective phase II trial that administered concurrent thoracic LDRT plus chemoimmunotherapy to treatment-naive ES-SCLC patients (MATCH trial, NCT04622228). The primary endpoint was confirmed objective response rate (ORR), and the key secondary endpoints included progression-free survival (PFS) and safety.

FINDINGS

Fifteen refractory SCLC patients treated with LDRT plus ICI were retrospectively reviewed. The ORR was 73.3% (95% confidence interval [CI], 44.9-92.2). We identified a specific dose of LDRT (15 Gy/5 fractions) that exhibited growth retardation and improved survival in murine SCLC when combined with ICIs. This combination recruited a special T cell population, TCF1+ PD-1+ CD8+ stem-like T cells, from tumor-draining lymph nodes into the TIME. The MATCH trial showed a confirmed ORR of 87.5% (95% CI, 75.9-94.8). The median PFS was 6.9 months (95% CI, 5.4-9.3).

CONCLUSIONS

These findings verified that LDRT plus chemoimmunotherapy was safe, feasible, and effective for ES-SCLC, warranting further investigation.

FUNDING

This research was funded by West China Hospital (no. ZYJC21003), the National Natural Science Foundation of China (no. 82073336), and the MATCH trial was fully funded by Roche (China) Holding Ltd. (RCHL) and Shanghai Roche Pharmaceuticals Ltd. (SRPL).

A random survival forest-based pathomics signature classifies immunotherapy prognosis and profiles TIME and genomics in ES-SCLC patients

BACKGROUND

Small cell lung cancer (SCLC) is a highly aggressive neuroendocrine tumor with high mortality, and only a limited subset of extensive-stage SCLC (ES-SCLC) patients demonstrate prolonged survival under chemoimmunotherapy, which warrants the exploration of reliable biomarkers. Herein, we built a machine learning-based model using pathomics features extracted from hematoxylin and eosin (H&E)-stained images to classify prognosis and explore its potential association with genomics and TIME.

METHODS

We retrospectively recruited ES-SCLC patients receiving first-line chemoimmunotherapy at Nanjing Jinling Hospital between April 2020 and August 2023. Digital H&E-stained whole-slide images were acquired, and targeted next-generation sequencing, programmed death ligand-1 staining, and multiplex immunohistochemical staining for immune cells were performed on a subset of patients. A random survival forest (RSF) model encompassing clinical and pathomics features was established to predict overall survival. The function of putative genes was assessed via single-cell RNA sequencing.

RESULTS AND CONCLUSION

During the median follow-up period of 12.12 months, 118 ES-SCLC patients receiving first-line immunotherapy were recruited. The RSF model utilizing three pathomics features and liver metastases, bone metastases, smoking status, and lactate dehydrogenase, could predict the survival of first-line chemoimmunotherapy in patients with ES-SCLC with favorable discrimination and calibration. Underlyingly, the higher RSF-Score potentially indicated more infiltration of CD8+ T cells in the stroma as well as a greater probability of MCL-1 amplification and EP300 mutation. At the single-cell level, MCL-1 was associated with TNFA-NFKB signaling and apoptosis-related processes. Hopefully, this noninvasive model could act as a biomarker for immunotherapy, potentially facilitating precision medicine in the management of ES-SCLC.

Peripheral NK cells identified as the predictor of response in extensive-stage small cell lung cancer patients treated with first-line immunotherapy plus chemotherapy

PURPOSE

Although immunotherapy improves outcomes in extensive-stage small-cell lung cancer (ES-SCLC), the search for biomarkers predicting treatment success is crucial. Natural killer (NK) cells are potential indicators in various cancers, however, their precise role in ES-SCLC prognosis remains unclear.

METHODS

In this retrospective study, 33 patients with ES-SCLC treated with first-line immuno-chemotherapy were enrolled. The peripheral NK cell percentage and its longitudinal dynamics were analyzed using flow cytometry. Progression-free survival (PFS) and overall survival (OS) were calculated as hazard ratio (HR) and compared statistically.

RESULTS

The median PFS was better in the group with normal baseline NK cell levels than the low group (7.0 vs. 4.6 months; HR = 0.17; 95% CI 0.07-0.41; P < 0.0001), but there was no association with OS (14.9 vs. 10.3 months; HR = 0.55; 95% CI 0.23-1.31; P = 0.171). Furthermore, the NK cell% for 95.0% of patients increased after immunochemotherapy in the clinical response group (P = 0.0047), which led to a better median PFS (6.3 vs. 2.1 months; HR = 0.23; 95% CI 0.05-0.98; P < 0.0001) and OS (14.9 vs. 5.9 months; HR = 0.20; 95% CI 0.04-1.02; P < 0.0001). Similar trends were observed with NK cell% changes up to disease progression, improving PFS (6.5 vs. 4.3; HR = 0.41; 95% CI 0.12-0.92; P = 0.0049) and OS (17.4 vs. 9.7; HR = 0.42; 95% CI 0.17-1.02; P < 0.0001).

CONCLUSION

In patients with ES-SCLC, the percentage and changes in peripheral NK cells can predict the response to combined immunotherapy and chemotherapy.

Distant metastasis patterns among lung cancer subtypes and impact of primary tumor resection on survival in metastatic lung cancer using SEER database

This research aimed to systematically uncover the metastatic characteristics and survival rates of lung cancer subtypes and to evaluate the impact of surgery at the primary tumor site on cancer-specific survival in DM lung cancer. We used the Surveillance, Epidemiology, and End Results (SEER) database (2010-2019) to identify primary lung cancers with DM at presentation (M1). Kaplan-Meier (KM) survival curves were generated and compared utilizing log-rank tests. Cox regression methods were employed to determine hazard ratios (HR) and 95% confidence intervals related to CSS factors. Inverse probability of treatment weighting (IPTW) was applied to reduce bias. We analyzed 77,827 M1 lung cancer cases, with 41.22% having DM at presentation. Bone metastasis was most common in ADC, ASC, SCC, LCC; brain in LCNEC; liver in SCLC. Lung was common in TC + AC and SCC. Long-term survival was best in TC + AC and worst in SCLC (p < 0.001). Male gender, age < 50, primary tumor site (main bronchus, lower lobe), large tumor diameter, ADC/SCLC/SCC pathology, and regional lymph node involvement were significant risk factors for multiorgan metastasis. Age ≥ 50, male, large tumor diameter, positive lymph nodes, and multiorgan metastases were associated with lower CSS. In contrast, radiotherapy, chemotherapy, systemic therapy, and surgery were associated with higher CSS rates. Primary tumor resection improved survival in lung cancer patients (excluding small cell lung cancer, SCLC) with single organ metastases (KM log rank p < 0.001, HR = 0.6165; 95% CI (0.5468-0.6951)), especially in brain (p < 0.001, HR = 0.6467; 95% CI (0.5505-0.7596)) and bone (p = 0.182, HR = 0.6289; p < 0.01), but not in liver or intrapulmonary metastases after IPTW. Significant differences in DM patterns and corresponding survival rates exist among lung cancer subtypes. Primary tumor resection improves survival in lung cancer patients (excluding small cell lung cancer, SCLC) with single organ metastases, with better outcomes in patients with brain and bone metastases, while no significant benefit was seen in patients with liver and intrapulmonary metastases.

Value of the lung immune prognostic index in patients with advanced small cell lung cancer treated with programmed death-ligand 1 and programmed death-1 inhibitors in the Chinese alpine region

Purpose

To assess the potential added value of the lung immune prognostic index (LIPI) in patients with small cell lung cancer (SCLC), treated with programmed death-ligand 1 (PD-L1)/programmed death-1 (PD-1) inhibitors, who lived in the Chinese alpine region.

Methods

120 SCLC patients treated with PD-L1/PD-1 inhibitors were divided into three LIPI groups, from July 2018 to April 2021. Cox regression models were used to evaluate the prognostic effect of three LIPI groups on overall survival (OS) and progression-free survival (PFS). Logistic regression analysis was conducted to explore the association between immune-related adverse events (irAEs) and the pretreatment of neutrophil-to-lymphocyte ratio (dNLR), lactate dehydrogenase (LDH), and LIPI.

Results

The median OS was 4.5, 6.3, and 10.0 months (p=0.001) and the median PFS was 2.5, 4.3, and 5.3 months (p=0.049) for Poor, Intermediate, and Good LIPI, respectively. The disease control rate (DCR) was also higher in the Good LIPI group (p=0.003). Moreover, multivariate analysis confirmed that worse LIPI was correlated with shorter OS and PFS. dNLR was associated with the onset of irAEs, not LIPI. Conclusion: The LIPI might be a promising predictive and prognostic biomarker in SCLC patients treated with PD-L1/PD-1 inhibitors in the Chinese Alpine region.

Case report: Emerging therapies for transformed small cell lung cancer: efficacy of serplulimab and a comprehensive case report

This research reports a case of histological transformation from non-small cell lung cancer (NSCLC) to transformed small cell lung cancer (T-SCLC) in a patient undergoing EGFR-tyrosine kinase inhibitors (TKIs). The aggressive characteristics of the tumor diverged significantly from those commonly associated with lung adenocarcinomas, leading to further histological analysis. The subsequent histological examination confirmed the transformation to SCLC, consistent with established mechanisms of acquired resistance in NSCLC. Given the limited therapeutic options, the patient was administered a serplulimab-based immunochemotherapy regimen, achieving a progression-free survival (PFS) of 6 months post-transformation. The study underscores the potential of PD-1 inhibitors, particularly serplulimab, in the treatment landscape for T-SCLC and highlights the need for future comprehensive research.

Metal ion interference therapy: metal-based nanomaterial-mediated mechanisms and strategies to boost intracellular "ion overload" for cancer treatment

Metal ion interference therapy (MIIT) has emerged as a promising approach in the field of nanomedicine for combatting cancer. With advancements in nanotechnology and tumor targeting-related strategies, sophisticated nanoplatforms have emerged to facilitate efficient MIIT in xenografted mouse models. However, the diverse range of metal ions and the intricacies of cellular metabolism have presented challenges in fully understanding this therapeutic approach, thereby impeding its progress. Thus, to address these issues, various amplification strategies focusing on ionic homeostasis and cancer cell metabolism have been devised to enhance MIIT efficacy. In this review, the remarkable progress in Fe, Cu, Ca, and Zn ion interference nanomedicines and understanding their intrinsic mechanism is summarized with particular emphasis on the types of amplification strategies employed to strengthen MIIT. The aim is to inspire an in-depth understanding of MIIT and provide guidance and ideas for the construction of more powerful nanoplatforms. Finally, the related challenges and prospects of this emerging treatment are discussed to pave the way for the next generation of cancer treatments and achieve the desired efficacy in patients.

Sintilimab combined with anlotinib and chemotherapy as second-line or later therapy in extensive-stage small cell lung cancer: a phase II clinical trial

Treatment options for patients with relapsed extensive-stage small cell lung cancer (ES-SCLC) remain scarce. This study aims to evaluate the efficacy and safety of combining anlotinib and sintilimab plus chemotherapy as a second line or later therapy for ES-SCLC patients. This is a phase II clinical trial (ChiCTR2100049390) conducting at Shandong Cancer Hospital. Patients with ES-SCLC and received at least one prior systemic treatment were enrolled. The trial design involved a combination therapy (sintilimab, anlotinib, and nab-paclitaxel) administered over six 21-day cycles, followed by maintenance sintilimab therapy. The primary endpoint was objective response rate (ORR). Circulating tumor DNA sequencing was employed for exploratory analysis. From July 2021 to April 2023, 25 eligible patients were enrolled. The confirmed ORR was 60% (95% CI: 38.7-78.9%) and the DCR was 76% (95% CI: 54.9-90.6%). The mPFS was 6.0 months (95% CI: 5.4-9.7), and the 6-month PFS rate was 49.2%. The mOS was 13.4 months (95% CI: 11.8-NR), with a 12-month survival rate of 62.2%. Treatment-related adverse events (TRAEs) of any grade occurred in 80% of patients, with the most common being fatigue (40%) and nausea (32%). TRAEs of Grade 3 or higher were reported in 12% of patients. ctDNA analysis indicated that low on-treatment blood tumor mutation burden was associated with longer PFS and OS and a potential role of KMT2D mutation in treatment resistance. This combination therapy shows promising efficacy and a manageable safety profile as a second-line or later treatment for ES-SCLC, with genomic insights providing potential biomarkers for treatment response.

Small Cell Lung Cancer Neuronal Features and Their Implications for Tumor Progression, Metastasis, and Therapy

Small cell lung cancer (SCLC) is an epithelial neuroendocrine form of lung cancer for which survival rates remain dismal and new therapeutic approaches are greatly needed. Key biological features of SCLC tumors include fast growth and widespread metastasis, as well as rapid resistance to treatment. Similar to pulmonary neuroendocrine cells, SCLC cells have traits of both hormone-producing cells and neurons. In this study, we specifically discuss the neuronal features of SCLC. We consider how neuronal G protein-coupled receptors and other neuronal molecules on the surface of SCLC cells can contribute to the growth of SCLC tumors and serve as therapeutic targets in SCLC. We also review recent evidence for the role of neuronal programs expressed by SCLC cells in the fast proliferation, migration, and metastasis of these cells. We further highlight how these neuronal programs may be particularly relevant for the development of brain metastases and how they can assist SCLC cells to functionally interact with neurons and astrocytes. A greater understanding of the molecular and cellular neuronal features of SCLC is likely to uncover new vulnerabilities in SCLC cells, which may help develop novel therapeutic approaches. More generally, the epithelial-to-neuronal transition observed during tumor progression in SCLC and other cancer types can contribute significantly to tumor development and response to therapy.

Cancer plasticity in therapy resistance: Mechanisms and novel strategies

Therapy resistance poses a significant obstacle to effective cancer treatment. Recent insights into cell plasticity as a new paradigm for understanding resistance to treatment: as cancer progresses, cancer cells experience phenotypic and molecular alterations, corporately known as cell plasticity. These alterations are caused by microenvironment factors, stochastic genetic and epigenetic changes, and/or selective pressure engendered by treatment, resulting in tumor heterogeneity and therapy resistance. Increasing evidence suggests that cancer cells display remarkable intrinsic plasticity and reversibly adapt to dynamic microenvironment conditions. Dynamic interactions between cell states and with the surrounding microenvironment form a flexible tumor ecosystem, which is able to quickly adapt to external pressure, especially treatment. Here, this review delineates the formation of cancer cell plasticity (CCP) as well as its manipulation of cancer escape from treatment. Furthermore, the intrinsic and extrinsic mechanisms driving CCP that promote the development of therapy resistance is summarized. Novel treatment strategies, e.g., inhibiting or reversing CCP is also proposed. Moreover, the review discusses the multiple lines of ongoing clinical trials globally aimed at ameliorating therapy resistance. Such advances provide directions for the development of new treatment modalities and combination therapies against CCP in the context of therapy resistance.

Thyroid hormone enhances efficacy of cisplatin in lung cancer patients via down-regulating GLUT1 expression and reversing the Warburg effect

Cisplatin (CDDP) is a standard non-small cell lung cancer (NSCLC) chemotherapy, but its efficacy is hampered by resistance, partly due to the Warburg effect. This study investigates how thyroid hormones enhance the Warburg effect, increasing sensitivity to cisplatin in lung cancer. Clinical data from advanced NSCLC patients were analyzed based on thyroid hormone levels, categorizing patients into high and low groups. Cellular experiments involved Control, 10uM CDDP, 10uM CDDP + 0.1uM T3, and 10uM CDDP + 0.1uM T4 categories. Parameters were measured in A549 and PC9 lung cancer cells, including proliferation, apoptosis, mitochondrial membrane potential, ROS production, glycolysis enzyme activity, lactic acid level, and ATP content. Gene and protein expressions were assessed using qPCR and Western Blot. Analysis revealed higher FT3 levels correlated with prolonged progression-free survival before chemotherapy (median PFS: high FT3 group = 12.67 months, low FT3 group = 7.03 months, p = 0.01). Cellular experiments demonstrated that thyroid hormones increase lung cancer cell sensitivity to cisplatin, inhibiting proliferation and enhancing efficacy. The mechanism involves thyroid hormones and cisplatin jointly down-regulating MSI1/AKT/GLUT1 expression, reducing lactic acid and glycolysis. This Warburg effect reversal boosts ATP levels, elevates ROS, and decreases MMP, enhancing cisplatin effectiveness in A549 and PC9 cells. In conclusion, elevated free T3 levels in advanced NSCLC patients correlate with prolonged progression-free survival under cisplatin chemotherapy. Cellular experiments reveal that thyroid hormones enhance lung cancer cell sensitivity to cisplatin by reversing the Warburg effect, providing a mechanistic basis for improved therapeutic outcomes.

The neoantigens derived from transposable elements - A hidden treasure for cancer immunotherapy

Neoantigen-based therapy is a promising approach that selectively activates the immune system of the host to recognize and eradicate cancer cells. Preliminary clinical trials have validated the feasibility, safety, and immunogenicity of personalized neoantigen-directed vaccines, enhancing their effectiveness and broad applicability in immunotherapy. While many ongoing oncological trials concentrate on neoantigens derived from mutations, these targets do not consistently provoke an immune response in all patients harboring the mutations. Additionally, tumors like ovarian cancer, which have a low tumor mutational burden (TMB), may be less amenable to mutation-based neoantigen therapies. Recent advancements in next-generation sequencing and bioinformatics have uncovered a rich source of neoantigens from non-canonical RNAs associated with transposable elements (TEs). Considering the substantial presence of TEs in the human genome and the proven immunogenicity of TE-derived neoantigens in various tumor types, this review investigates the latest findings on TE-derived neoantigens, examining their clinical implications, challenges, and unique advantages in enhancing tumor immunotherapy.

GCN2 is a determinant of the response to WEE1 kinase inhibition in small-cell lung cancer

Patients with small-cell lung cancer (SCLC) are in dire need of more effective therapeutic options. Frequent disruption of the G1 checkpoint in SCLC cells creates a dependency on the G2/M checkpoint to maintain genomic integrity. Indeed, in pre-clinical models, inhibiting the G2/M checkpoint kinase WEE1 shows promise in inhibiting SCLC growth. However, toxicity and acquired resistance limit the clinical effectiveness of this strategy. Here, using CRISPR-Cas9 knockout screens in vitro and in vivo, we identified multiple factors influencing the response of SCLC cells to the WEE1 kinase inhibitor AZD1775, including the GCN2 kinase and other members of its signaling pathway. Rapid activation of GCN2 upon AZD1775 treatment triggers a stress response in SCLC cells. Pharmacological or genetic activation of the GCN2 pathway enhances cancer cell killing by AZD1775. Thus, activation of the GCN2 pathway represents a promising strategy to increase the efficacy of WEE1 inhibitors in SCLC.

Unraveling the obesity paradox in small cell lung cancer immunotherapy: unveiling prognostic insights through body composition analysis

Background

The advent of immunotherapy has changed the landscape of SCLC treatment, although the identification of reliable prognostic biomarkers remains a formidable challenge. Our objective was to investigate the prognostic implications of obesity and body composition in SCLC immunotherapy while seeking a straightforward anthropometric measure.

Methods

This retrospective study analyzed data from patients with SCLC who underwent immunotherapy between 2019 and 2023. Body composition and waist circumference (WC) were analyzed using 3D slicer software on baseline CT images. Quantitative measures, including skeletal muscle index (SMI), total adipose tissue index (TATI), and other indicators at the L3 level, along with body shape index (BSI) and additional indicators based on WC, were obtained. The relationships between these indicators, response, PFS, OS, and their interconnections were examined.

Results

A total of 145 SCLC patients who received immunotherapy were identified, of whom 133 met the inclusion criteria. In univariate analysis, a BMI≥28 kg/m2 was associated with a PFS advantage (HR 0.42, p=0.04), but this trend vanished in multivariate analysis. Body measurements exhibited stronger correlations with adipose tissue content, with BSI showing the highest correlation with muscle. In multivariate analysis, lower BSI was associated with poorer OS (HR 1.79, p=0.02). The association between muscle composition and prognosis was robust in univariate analysis but dissipated in multivariate analysis. However, accounting for a high TATI background significantly heightened the adverse effect of SMI on prognosis in the multivariate model.

Conclusion

No clear association between BMI and SCLC immunotherapy prognosis was observed. However, high adiposity exacerbated the adverse effects of sarcopenia in SCLC immunotherapy, and BSI demonstrated potential as a straightforward prognostic measure.

Extracellular Vesicle microRNA: A Promising Biomarker and Therapeutic Target for Respiratory Diseases

Respiratory diseases, including chronic obstructive pulmonary disease (COPD), asthma, lung cancer, and coronavirus pneumonia, present a major global health challenge. Current diagnostic and therapeutic options for these diseases are limited, necessitating the urgent development of novel biomarkers and therapeutic strategies. In recent years, microRNAs (miRNAs) within extracellular vesicles (EVs) have received considerable attention due to their crucial role in intercellular communication and disease progression. EVs are membrane-bound structures released by cells into the extracellular environment, encapsulating a variety of biomolecules such as DNA, RNA, lipids, and proteins. Specifically, miRNAs within EVs, known as EV-miRNAs, facilitate intercellular communication by regulating gene expression. The expression levels of these miRNAs can reflect distinct disease states and significantly influence immune cell function, chronic airway inflammation, airway remodeling, cell proliferation, angiogenesis, epithelial-mesenchymal transition, and other pathological processes. Consequently, EV-miRNAs have a profound impact on the onset, progression, and therapeutic responses of respiratory diseases, with great potential for disease management. Synthesizing the current understanding of EV-miRNAs in respiratory diseases such as COPD, asthma, lung cancer, and novel coronavirus pneumonia, this review aims to explore the potential of EV-miRNAs as biomarkers and therapeutic targets and examine their prospects in the diagnosis and treatment of these respiratory diseases.

From Phantoms to Patients: Improved Fusion and Voxel-Wise Analysis of Diffusion-Weighted Imaging and FDG-Positron Emission Tomography in Positron Emission Tomography/Magnetic Resonance Imaging for Combined Metabolic-Diffusivity Index (cDMI)

Hybrid positron emission tomography/magnetic resonance imaging (PET/MR) opens new possibilities in multimodal multiparametric (m2p) image analyses. But even the simultaneous acquisition of positron emission tomography (PET) and magnetic resonance imaging (MRI) does not guarantee perfect voxel-by-voxel co-registration due to organs and distortions, especially in diffusion-weighted imaging (DWI), which would be, however, crucial to derive biologically meaningful information. Thus, our aim was to optimize fusion and voxel-wise analyses of DWI and standardized uptake values (SUVs) using a novel software for m2p analyses. Using research software, we evaluated the precision of image co-registration and voxel-wise analyses including the rigid and elastic 3D registration of DWI and [18F]-Fluorodeoxyglucose (FDG)-PET from an integrated PET/MR system. We analyzed DWI distortions with a volume-preserving constraint in three different 3D-printed phantom models. A total of 12 PET/MR-DWI clinical datasets (bronchial carcinoma patients) were referenced to the T1 weighted-DIXON sequence. Back mapping of scatterplots and voxel-wise registration was performed and compared to the non-optimized datasets. Fusion was rated using a 5-point Likert scale. Using the 3D-elastic co-registration algorithm, geometric shapes were restored in phantom measurements; the measured ADC values did not change significantly (F = 1.12, p = 0.34). Reader assessment showed a significant improvement in fusion precision for DWI and morphological landmarks in the 3D-registered datasets (4.3 ± 0.2 vs. 4.6 ± 0.2, p = 0.009). Most pronounced differences were noted for the chest wall (p = 0.006), tumor (p = 0.007), and skin contour (p = 0.014). Co-registration increased the number of plausible ADC and SUV combinations by 25%. The volume-preserving elastic 3D registration of DWI significantly improved the precision of fusion with anatomical sequences in phantom and clinical datasets. The research software allowed for a voxel-wise analysis and visualization of [18F]FDG-PET/MR data as a "combined diffusivity-metabolic index" (cDMI). The clinical value of the optimized PET/MR biomarker can thus be tested in future PET/MR studies.

DB-1314, a novel DLL3-targeting ADC with DNA topoisomerase I inhibitor, exhibits promising safety profile and therapeutic efficacy in preclinical small cell lung cancer models

BACKGROUND

Delta-like ligand 3 (DLL3) is highly expressed on the cell surface of small cell lung cancer (SCLC), one of the most lethal malignancies, but minimally or not in normal tissues, making it an attractive target for SCLC. However, none of the DLL3-targeting antibody-drug conjugates (ADCs) have been approved for SCLC therapy yet. We developed DB-1314, the new anti-DLL3 ADC composed of a novel humanized anti-DLL3 monoclonal antibody (DB131401) conjugated with eight molecules of P1021 (topoisomerase I inhibitor), and described its preclinical profiles.

METHODS

The binding epitope for DB131401 and Rovalpituzumab was tested by biolayer interferometry. The binding affinity and specificity of DB-1314 to DLL3 and other homologous proteins were respectively measured by surface plasmon resonance and enzyme-linked immunosorbent assay. Internalization, bystander effects, and antibody-dependent cell-mediated cytotoxicity (ADCC) were assessed by respective assay. DLL3 was quantified by antibodies bound per cell assay and immunohistochemistry. In vitro and in vivo growth inhibition studies were evaluated in SCLC cell lines, and cell line/patient-derived xenograft models. The safety profile was measured in cynomolgus monkeys.

RESULTS

DB-1314 induces potent, durable, and dose-dependent antitumor effects in cells in vitro and in cell/patient-derived xenograft models in vivo. The killing activity of DB-1314 mechanically arises from P1021-induced DNA damage, whereby P1021 is delivered and released within tumor cells through DLL3-specific binding and efficient internalization. Bystander effects and ADCC also contribute to the antitumor activity of DB-1314. DB-1314 displays favorable pharmacokinetic and toxicokinetic profiles in rats and cynomolgus monkeys; besides, DB-1314 is well-tolerated at a dose of up to 60 mg/kg in monkeys.

CONCLUSIONS

These results suggest that DB-1314 may be a candidate ADC targeting DLL3 for the treatment of DLL3-positive SCLC, supporting further evaluation in the clinical setting.

Current advance of nanotechnology in diagnosis and treatment for malignant tumors

Cancer remains a significant risk to human health. Nanomedicine is a new multidisciplinary field that is garnering a lot of interest and investigation. Nanomedicine shows great potential for cancer diagnosis and treatment. Specifically engineered nanoparticles can be employed as contrast agents in cancer diagnostics to enable high sensitivity and high-resolution tumor detection by imaging examinations. Novel approaches for tumor labeling and detection are also made possible by the use of nanoprobes and nanobiosensors. The achievement of targeted medication delivery in cancer therapy can be accomplished through the rational design and manufacture of nanodrug carriers. Nanoparticles have the capability to effectively transport medications or gene fragments to tumor tissues via passive or active targeting processes, thus enhancing treatment outcomes while minimizing harm to healthy tissues. Simultaneously, nanoparticles can be employed in the context of radiation sensitization and photothermal therapy to enhance the therapeutic efficacy of malignant tumors. This review presents a literature overview and summary of how nanotechnology is used in the diagnosis and treatment of malignant tumors. According to oncological diseases originating from different systems of the body and combining the pathophysiological features of cancers at different sites, we review the most recent developments in nanotechnology applications. Finally, we briefly discuss the prospects and challenges of nanotechnology in cancer.

Racialized Economic Segregation and Treatment and Outcomes of Small Cell Lung Cancer

BACKGROUND

Little is known about the role of residential segregation in the treatment and outcomes of small cell lung cancer (SCLC), a highly recalcitrant disease, among non-Hispanic White (NHW) and non-Hispanic Black (NHB) patients.

METHODS

We used the Surveillance, Epidemiology, and End Results database to identify men and women diagnosed with SCLC from January 2007 to December 2015 (n = 38,393). An Index of Concentration at the Extremes was computed to measure county-level racialized economic segregation and categorized into Quartile 1 (most privileged: highest concentration of high-income NHW residents) through Quartile 4 (least privileged: highest concentration of low-income NHB residents). Multilevel logistic regression was used to estimate the ORs for extensive-stage diagnosis and nonadherence to guideline-recommended treatment. HRs for lung cancer-specific and overall mortalities were computed using multilevel Cox regression.

RESULTS

Patients in the least privileged counties had higher risks of nonadherence to guideline-recommended treatment [OR = 1.23; 95% confidence interval (CI): 1.08-1.40; Ptrend < 0.01], lung cancer-specific mortality (HR = 1.08; 95% CI: 1.04-1.12; Ptrend < 0.01), and all-cause mortality (HR = 1.13; 95% CI: 1.09-1.17; Ptrend < 0.0001) compared with patients in the most privileged counties. Adjustment for treatment did not significantly reduce the association with mortality. These associations were comparable between NHB and NHW patients. Segregation was not significantly associated with extensive-stage diagnosis.

CONCLUSIONS

The results suggest that living in the neighborhoods with higher proportions of low-income households and Black residents had adverse impacts on stage-appropriate treatment of and survival from SCLC.

IMPACT

This highlights the need for improving the access to quality lung cancer care in the less privileged neighborhoods.

The Ribonuclease ZC3H12A is required for self-inflicted DNA breaks after DNA damage in small cell lung cancer cells

Radiotherapy is the first line treatment for small cell lung cancer (SCLC); However, radio-resistance accompanies with the treatment and hampers the prognosis for SCLC patients. The underlying mechanisms remains elusive. Here we discovered that self-inflicted DNA breaks exist in SCLC cells after radiation. Moreover, using nuclease siRNA screening combined with high-content ArrayScan™ cell analyzer, we identified that Ribonuclease ZC3H12A is required for the self-inflicted DNA breaks after radiation and for SCLC cell survival after DNA damage. ZC3H12A expression was increased in response to DNA damage and when ZC3H12A was knocked down, the DNA repair ability of the cells was impaired, as evidenced by decreased expression of the DNA damage repair protein BRCA1, and increased γH2AX at DNA damage sites. Colony formation assay demonstrates that ZC3H12A knocked down sensitized small cell lung cancer radiotherapy. Therefore, the Ribonuclease ZC3H12A regulates endogenous secondary breaks in small cell lung cancer and affects DNA damage repair. ZC3H12A may act as an important radiotherapy target in small cell lung cancer.

Efficacy and safety of G-CSF prophylaxis in patients with extensive-stage small cell lung cancer receiving chemoimmunotherapy

OBJECTIVES

We aimed to evaluate the efficacy and safety of granulocyte-colony stimulating factor (G-CSF) prophylaxis during chemoimmunotherapy with carboplatin plus etoposide and atezolizumab in extensive-stage small cell lung cancer (ES-SCLC).

METHODS

This retrospective, multicenter study enrolled ES-SCLC patients receiving carboplatin plus etoposide and atezolizumab, categorized into G-CSF and non-G-CSF groups. Demographic and disease-related data were collected. Response rates, progression-free survival (PFS), overall survival (OS), and toxicity were analyzed.

RESULTS

Of 119 patients (median age: 63 years), the overall response rate (ORR) and disease control rate (DCR) were 72.3% and 81.5%, respectively. In the G-CSF group, the ORR was 76.4% compared to 60.0% in the non-G-CSF group (p = 0.33), and the DCR was 85.4% versus 70.0%, respectively (p = 0.46). Median PFS was 8.3 months (95% CI, 6.8-9.8) in the G-CSF group and 6.8 months (95% CI, 6.2-7.5) in the non-G-CSF group (p = 0.24). Median OS was 13.8 months (95% CI, 9.6-18.1) for the G-CSF group and 10.6 months (95% CI, 7.9-13.3) for the non-G-CSF group (p = 0.47). Grade 3 ≥ adverse events were similar between groups (49.4% vs. 33.3%, respectively, p = 0.12).

CONCLUSION

G-CSF prophylaxis can be safely used in ES-SCLC patients undergoing carboplatin plus etoposide and atezolizumab regimen without significantly altering efficacy or increasing toxicity.

Disintegrin Accutin inhibits A549 cell migration though suppression of EMT and FAK/AKT signaling pathway

Integrins are heterodimers composed of two subunits, α(120-185kD) and β (90-110kD), which mediate the connection between cells and their external environment, such as extracellular matrix (ECM), and play an important role in the regulation of cell shape, proliferation and migration. Herein, we identified a potent anti-tumor migration peptide Accutin from crude venom of Agkistrodon acutus using an A549 3D tumor sphere model, and simulation tools and RNA sequencing were performed to reveal the mechanism of Accutin. Accutin is a disintegrin and docking, molecular dynamics simulations and ITC assay indicate that the RGD motif in the Accutin sequence can stably bind to integrins α5β1. 9.22 nM Accutin can significantly inhibit the migration and invasion of lung cancer cell lines. Transcriptome analysis indicated that many genes are involved in tumor cell adhesion-related biological processes. Several pathways, like the "mTOR signaling pathway", "TGF-β signaling pathway", and "Focal adhesion" were enriched. Interestingly, pathways involved in "N-Glycan biosynthesis" etc. were significantly inhibited. These transcriptomics data suggested that the molecular basis of Accutin-mediated inhibition of cancer cell migration may be by inhibiting N-glycosylation of integrin, then inhibiting signaling pathways such as PI3K/AKT/mTOR and TGFβ/smad. Western blotting analysis further confirmed that Accutin could suppress migration via down-regulating the phosphorylation of FAK and AKT and inhibiting EMT (epithelial-mesenchymal transition). Taken together, as a disintegrin with high efficiency, Accutin may be a potential precursor of a therapeutic agent for the treatment of lung cancer migration.

Pleural small cell lung cancer masquerading as malignant mesothelioma: A case report

Nodular soft tissue pleural thickening on imaging is highly suggestive of malignancy, of which pleural malignant mesothelioma and metastatic disease are differentials. We present the case of a 71-year-old male who presented with acute worsening of shortness of breath associated with a recurrent left pleural effusion post-pleurocentesis. He was an ex-smoker with previous asbestos exposure. Computed tomography performed demonstrated left-sided pleural thickening in the hemithorax and hemidiaphragm with complex pleural effusion. 18F-2-deoxy-d-glucose whole body PET scan revealed extensive uptake throughout the left hemithorax in multiple pleural masses. The imaging findings and clinical case were typical of malignant mesothelioma. However, histopathology results revealed small cell lung cancer. We need to be cognisant of this atypical presentation of a common disease entity. Even when all clinical and imaging findings point towards a certain diagnosis, histopathological assessment cannot be ignored.