Clinical and Imaging Features of Non-Small-Cell Lung Cancer in Young Patients

Machine learning for differentiating lung squamous cell cancer from adenocarcinoma using Clinical-Metabolic characteristics and 18F-FDG PET/CT radiomics

Noninvasive differentiation between the squamous cell carcinoma (SCC) and adenocarcinoma (ADC) subtypes of non-small cell lung cancer (NSCLC) could benefit patients who are unsuitable for invasive diagnostic procedures. Therefore, this study evaluates the predictive performance of a PET/CT-based radiomics model. It aims to distinguish between the histological subtypes of lung adenocarcinoma and squamous cell carcinoma, employing four different machine learning techniques. A total of 255 Non-Small Cell Lung Cancer (NSCLC) patients were retrospectively analyzed and randomly divided into the training (n = 177) and validation (n = 78) sets, respectively. Radiomics features were extracted, and the Least Absolute Shrinkage and Selection Operator (LASSO) method was employed for feature selection. Subsequently, models were constructed using four distinct machine learning techniques, with the top-performing algorithm determined by evaluating metrics such as accuracy, sensitivity, specificity, and the area under the curve (AUC). The efficacy of the various models was appraised and compared using the DeLong test. A nomogram was developed based on the model with the best predictive efficiency and clinical utility, and it was validated using calibration curves. Results indicated that the logistic regression classifier had better predictive power in the validation cohort of the radiomic model. The combined model (AUC 0.870) exhibited superior predictive power compared to the clinical model (AUC 0.848) and the radiomics model (AUC 0.774). In this study, we discovered that the combined model, refined by the logistic regression classifier, exhibited the most effective performance in classifying the histological subtypes of NSCLC.

A 19-Year-Old With Hemoptysis and Shortness of Breath

CASE PRESENTATION

A 19-year-old woman with no medical history who did not use tobacco presented to the hospital with post-COVID-19 cough for 2 months and new onset of shortness of breath and blood-tinged sputum. She was initially treated empirically for community-acquired pneumonia because her chest radiograph showed a right upper lobe infiltrate. Further CT scan imaging revealed a right hilar lymph node conglomerate and extensive lymphadenopathy. The patient left to pursue care at a facility that accepted her insurance. Two weeks later, the patient presented for severe left-sided lower back pain, and she was found to have new complete left lower lobe collapse, likely because of extrinsic compression of the left lower lobe bronchus. She was treated for pain, and she left for insurance reasons. Two months later, the patient presented with progressive shortness of breath and hemoptysis and a 23-kg weight loss over the past 4 months. Because of the patient's increasing medical needs, she was transferred to our institution, where she was admitted to the medical ICU.

Short- and long-term outcomes of robotic-assisted versus video-assisted thoracoscopic lobectomy in non-small cell lung cancer patients aged 35 years or younger: a real-world study with propensity score-matched analysis

PURPOSE

This study compared short- and long-term outcomes of robotic-assisted thoracoscopic surgery (RATS) versus video-assisted thoracoscopic surgery (VATS) for lobectomy in young adults aged ≤ 35 years with non-small cell lung cancer (NSCLC), aiming to assess the superiority of RATS over VATS for this special group of patients.

METHODS

A total of 1355 consecutive NSCLC cases aged 18-35 years undergoing RATS (n = 105) or VATS (n = 1250) between 2014 and 2021 were retrospectively identified from a prospectively maintained database. Propensity score matching (PSM) was applied to establish a 1:3 RATS versus VATS ratio. Baseline clinicopathological characteristics, perioperative outcomes, lymph node (LN) assessment, and long-term survival were investigated.

RESULTS

Following PSM, 105 and 315 cases were in the RATS and VATS groups, respectively. RATS led to a shorter postoperative hospital stay than VATS (4.0 ± 1.5 vs 4.3 ± 1.7 days, p = 0.02). The two groups were comparable in other perioperative outcomes and postoperative complications (all p > 0.05). Moreover, RATS assessed more LNs (9.4 ± 4.4 vs 8.3 ± 3.6, p = 0.03), especially N1 LNs (4.2 ± 3.1 vs 3.5 ± 2.2, p = 0.02), than VATS. By comparison, no difference in 5-year recurrence-free survival (RFS), overall survival (OS), or recurrence or mortality patterns was found between the two groups (all p > 0.05). Further subgroup analyses also observed similar long-term outcomes between the two groups regarding age, gender, and smoking history. Finally, Cox's analyses found that the surgical approach was not independently correlated with RFS or OS.

CONCLUSION

RATS shortened postoperative hospital stay, assessed more N1 and total LNs, and achieved comparable long-term outcomes to VATS for very young NSCLC patients.

Improving the management of ALK-rearranged non-small-cell lung cancer through a mobile application: a physicians-based survey

Background: ALK rearrangements account for around 5% of non-small-cell lung cancers. Aim: This study surveys physicians on the potential efficacy of a mobile application in improving the management of ALK-rearranged non-small-cell lung cancer, through knowledge, treatment adherence and real-time adverse events reporting. Materials & methods: A total of 118 physicians from 11 countries in the Middle East participated. Results & conclusion: Results indicate 94% support for enhancing team communication via an application, and 93% believe real-time adverse events reporting improves the quality of care. Participants found an ALK-rearrangement patient-physicians forum valuable for communication improvement. Motivations for application use included treatment planning (73%), care enhancement (60%) and contributing to publications (40%).

Prognosis prediction of icotinib as targeted therapy for advanced EGFR-positive non-small cell lung cancer patients

Clinical trials on icotinib, a first-generation epidermal growth factor receptor tyrosine kinase inhibitor (EGFR-TKI), have shown promising results as targeted therapy for non-small cell lung cancer (NSCLC). This study aimed to establish an effective scoring system to predict the one-year progression-free survival (PFS) of advanced NSCLC patients with EGFR mutations treated with icotinib as targeted therapy. A total of 208 consecutive patients with advanced EGFR-positive NSCLC treated with icotinib were enrolled in this study. Baseline characteristics were collected within 30 days before icotinib treatment. PFS was taken as the primary endpoint and the response rate as the secondary endpoint. Least absolute shrinkage and selection operator (LASSO) regression analysis and Cox proportional hazards regression analysis were used to select the optimal predictors. We evaluated the scoring system using a five-fold cross-validation. PFS events occurred in 175 patients, with a median PFS of 9.9 months (interquartile range, 6.8-14.5). The objective response rate (ORR) was 36.1%, and the disease control rate (DCR) was 67.3%. The final ABC-Score consisted of three predictors: age, bone metastases and carbohydrate antigen 19-9 (CA19-9). Upon comparison of all three factors, the combined ABC-score (area under the curve (AUC)= 0.660) showed a better predictive accuracy than age (AUC = 0.573), bone metastases (AUC = 0.615), and CA19-9 (AUC = 0.608) individually. A five-fold cross-validation showed good discrimination with AUC = 0.623. The ABC-score developed in this study was significantly effective as a prognostic tool for icotinib in advanced NSCLC patients with EGFR mutations.

Clinicopathological characteristics and prognosis of young patients aged ≤45 years old with non-small cell lung cancer

Lung cancer is rare in young people, but the incidence and mortality are on the rise. We retrospectively analyzed the data of young patients aged ≤45 years diagnosed as lung cancer in our hospital from 2014 to 2021. The purpose was to explore the clinicopathological characteristics of young patients, and the risk factors affecting overall survival (OS) time. The results showed that the young patients were mainly female, had no smoking history, asymptomatic at initial diagnosis, with a high proportion of adenocarcinoma and stage I–II. We divided all patients into two groups according to age and found that the proportion of stage I–II in 18–35 years group was significantly higher than that in 36–45 years group (P = 0.021). The main manifestation of tumor was ground glass opacity (GGO) in 18–35 years group, while most showed non-GGO in 36–45 years group (P = 0.003). The proportion of minimally invasive adenocarcinoma was higher in 18–35 years group, while the invasive adenocarcinoma was higher in 36–45 years group (P = 0.004). Univariate analysis showed that asymptomatic, stage I–II, surgery, women, with few or no metastatic organs had longer OS. Multivariate analysis showed that the independent factors affecting the OS of young patients were tumor stage and more metastatic organs.

Driver mutation characteristics of phosphatidylinositol-4,5-bisphosphate 3-kinase catalytic subunit alpha (PIK3CA) in advanced non-small cell lung cancer

OBJECTIVES

The identification and targeting of actionable genomic alterations (AGA) have revolutionized the treatment of cancer in general and mostly for non-small cell lung cancer (NSCLC). We investigated whether in NSCLC patients PIK3CA mutations are actionable.

MATERIALS AND METHODS

Chart review was performed of advanced NSCLC patients. PIK3CA mutated patients were analyzed as two groups: Group A: without any non-PIK3CA established AGA; Group B: with coexisting AGA. Group A was compared to a cohort of non-PIK3CA patients (group C), using t-test and chi-square. To evaluate the impact of PIK3CA mutation on outcome, we compared Group A survival to age/sex/histology matched cohort of non-PIK3CA mutated patients (group D) by Kaplan-Meier method. A patient with a PIK3CA mutation was treated with a PI3Ka-isoform selective inhibitor BYL719 (Alpelisib).

RESULTS

Of a cohort of 1377 patients, 57 are PIK3CA mutated (4.1%). Group A: n-22, group B: n-35. Group A median age is 76 years, 16 (72.7%) men, 10 (45.5%) squamous, 4 (18.2%) never smokers. Two never-smoker female adenocarcinoma patients had solitary PIK3CA mutation. One of them was treated with a PI3Ka-isoform selective inhibitor BYL719 (Alpelisib), with rapid clinical and partial radiological improvement. Group B, compared with Group A, included younger patients (p = 0.030), more females (p = 0.028) and more adenocarcinoma cases (p < 0.001). Compared to group C, group A patients were older (p = 0.030) and had more squamous histology (p = 0.011).

CONCLUSION

In a small minority of NSCLC patients with PIK3CA mutation there are no additional AGA. PIK3CA mutations may be actionable in these cases.

The role of psychiatry in quality of life in young patients with non-small cell lung cancer

Background

Lung cancer is often seen in geriatric patients, with an age of onset of approximately 60 years. Non-small cell lung cancer (NSCLC) remains the leading cause of cancer-related mortality in the United States and around the world. Young patients are rarely diagnosed with lung cancer, with less than 3.5% of patients presenting with this tumor at an age less than 45. In this paper, we examine NSCLC in young patients, between 18 and 35 years of age, which most commonly occurs in non-smokers and is characterized by a higher proportion of adenocarcinoma histology and advanced disease at presentation. These patients often present with metastasis involving one organ and they test positive for driver gene mutations including, but not limited to, epidermal growth factor receptor (EGFR), tyrosine kinase inhibitor (TKI) sensitive mutation and anaplastic lymphoma kinase (ALK). We addressed depression and anxiety and their effect on quality of life (QOL) and attempted to examine how improvement in QOL in these young patients could affect their course of illness and prognosis.

Methods

We conducted a literature review using PubMed, Cochrane, and Google search. We concentrated our search on two elements, reviewing approximately 50 articles focusing on the driver mutations EGFR and ALK as well as genetic mapping of lung adenocarcinoma in patients aged 18–35 years old. We also conducted a review of approximately 30 articles focusing on quality of life in the context of anxiety and depression within this patient population.

Results

We have described a case of a 28-year-old male with new-onset metastatic lung adenocarcinoma that we had treated in our hospital. He was found to have mutations in EGFR and ALK rearrangement. We aimed to address his depression, anxiety, and poor QOL in the context of his diagnosis. Due to his presenting symptoms leading to the diagnosis of adjustment disorder, he was treated with pharmacotherapy as well as conventional therapy to improve his QOL. Due to the time required to identify mutations, our patient passed away before a more targeted treatment could be offered.

Conclusion

It is important to fully explore the nature of the cancer, including mutation types. Our case demonstrates that the detection of the driver gene mutation EGFR and/or ALK rearrangement could affect treatment and prognosis in this patient population. There are many studies available that highlight targeted therapies for these mutations as well as chemotherapy and radiation. Psychiatry has a significant role in improving quality of life in these patients, which could enhance their response to treatment and survival. Involving psychiatry early in the course results in lower rates of depression, anxiety and premature death.

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Detection of the driver gene mutation EGFR and or ALK rearrangement could affect treatment within the young adult population.

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Early psychiatric intervention can improve quality of life.

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Early psychiatric intervention can lower rates of depression, anxiety, and suicidal ideation.

Establishment of a malignancy and benignancy prediction model of sub-centimeter pulmonary ground-glass nodules based on the inflammation-cancer transformation theory

Background

In recent years, Chinese clinicians are frequently encountered by patients with multiple lung nodules and these intensity ground-glass nodules (GGNs) are usually small in size and some of them have no spicule sign. In addition, early lung cancer is diagnosed in large numbers of non-heavy smokers and individuals with no caner history. Obviously, the Mayo model is not applicable to these patients. The aim of the present study is to develop a new and more applicable model that can predict malignancy or benignancy of pulmonary GGNs based on the inflammation-cancer transformation theory.

Materials and methods

Included in this study were patients who underwent surgical resection or lung puncture biopsy of GGNs in Shanghai 10th People’s Hospital between January 1, 2018 and May 31, 2021 with the inclusion criterion of the maximum diameter of GGN < 1.0 cm. All the included patients had their pulmonary GGNs diagnosed by postoperative pathology. The patient data were analyzed to establish a prediction model and the predictive value of the model was verified.

Results

Altogether 100 GGN patients who met the inclusion criteria were included for analysis. Based on the results of logistic stepwise regression analysis, a mathematical predication equation was established to calculate the malignancy probability as follows: Malignancy probability rate (p) = ex/(1 + ex); p > 0.5 was considered as malignant and p ≤ 0.5 as benign, where x = 0.9650 + [0.1791 × T helper (Th) cell] + [0.2921 × mixed GGN (mGGN)] + (0.4909 × vascular convergence sign) + (0.1058 × chronic inflammation). According to this prediction model, the positive prediction rate was 73.3% and the negative prediction rate was 100% versus the positive prediction rate of 0% for the Mayo model.

Conclusion

By focusing on four major factors (chronic inflammation history, human Th cell, imaging vascular convergence sign and mGGNs), the present prediction model greatly improves the accuracy of malignancy or benignancy prediction of sub-centimeter pulmonary GGNs. This is a breakthrough innovation in this field.

Importance of tumor subtypes in cancer imaging

Cancer therapy has evolved from being broadly directed towards tumor types, to highly specific treatment protocols that target individual molecular subtypes of tumors. With the ever-increasing data on imaging characteristics of tumor subtypes and advancements in imaging techniques, it is now often possible for radiologists to differentiate tumor subtypes on imaging. Armed with this knowledge, radiologists may be able to provide specific information that can obviate the need for invasive methods to identify tumor subtypes. Different tumor subtypes also differ in their patterns of metastatic spread. Awareness of these differences can direct radiologists to relevant anatomical sites to screen for early metastases that may otherwise be difficult to detect during cursory inspection. Likewise, this knowledge will help radiologists to interpret indeterminate findings in a more specific manner.

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Tumor subtypes can be identified based on their different imaging characteristics.

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Awareness of tumor subtype can help radiologists chose the appropriate modality for additional imaging workup.

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Awareness of differences in metastatic pattern between tumor subtypes can be helpful to identify early metastases.

Epidemiology and prognosis in young lung cancer patients aged under 45 years old in northern China

To explore the epidemiological characteristics and prognosis of lung cancer in patients aged under 45 years old in northern China. The population-based database about lung cancer cases aged under 45y selected form the Hebei Provincial Cancer Registry Center from 2010-2015. Mortality data of young death from 1973 to 1975, 1990 to 1992, and 2004 to 2005 were extracted from the national retrospective survey of death. Mortality rates were calculated by the mortality database above in this analysis. Consecutive, 954 non-selected younger patients (< 45 years) and 2261 selected older patients (≥ 45 years) with pathologically diagnosed lung cancer treated at the Fourth Hospital of Hebei Medical University were included as the hospital-based database. Epidemiological, treatment outcomes and prognosis status from 2010 to 2017 were documented. A comparison with younger and older patients was also made. Multivariate analysis with young lung cancer patients was calculated by Cox regression model. The younger lung cancer mortality rate tended to slightly increase in Hebei Province, from 1.04 per100 000 in 1973 to 2.01 per 100 000 in 2015, but the PDR tended to decrease over the last 40 years. There were 954 younger and 2261 older lung cancer patients included in the hospital-based database. The proportions of patients who were female (50.84% vs 34.85%), family history of cancer (12.37% vs 6.32%), advanced stage at diagnosis (65.46% vs 60.77%) and adenocarcinoma (65.27% vs 61.11%) were relatively higher in the younger group than in the older group. The median OS were 23.0 months and 27.0 months between younger and older, the OS difference existed between the two groups (P = 0.001). In the younger patients, Cox regression showed that a family history of cancer, symptoms at diagnosis, pathology, stage at diagnosis and surgery were confirmed as independent factors affecting the prognosis. Mortality rates among younger lung cancer patients showed an increasing trend in northern China. The younger account for small but have unique characteristics, with higher proportions of female, family history of cancer, adenocarcinoma and advanced stages than the older group and had a trend of worse OS.

The significance of systematic lymph node dissection in surgery for early-stage non-small cell lung cancer patients aged ≤40 years

Background

Surgery remains the best option for treating early-stage non-small cell lung cancer (NSCLC), and lymph node dissection (LND) is an important step in this approach. However, the extent of LND in the general age population, especially in young patients, is controversial. This retrospective study aimed to investigate the correlation between systematic lymph node dissection (SLND) and prognosis in young (≤40 years) patients with stage IA NSCLC.

Methods

Clinicopathological data of 191 patients aged ≤40 years who underwent surgical pulmonary resection for stage IA NSCLC between January 2010 and December 2016 were retrospectively collected. Of the patients, 104 received SLND (SLND group), while the other 87 patients underwent sampling or no LND (non-SLND group). The disease-free survival (DFS) and overall survival (OS) curves of the patients from each group were plotted using the Kaplan-Meier method, and the correlations of the patients' clinical factors with prognosis were also analyzed.

Results

The median follow-up period was 55 months. During follow-up, 7 patients died, and recurrence or metastasis was detected in 16 patients. Kaplan-Meier analysis revealed no difference in DFS (P=0.132) between the SLND and non-SLND group, but a significant difference was found between the groups in OS (P=0.022). Additionally, there was no statistically pronounced difference in OS or DFS between male and female patients. Multivariate survival analysis showed that the type of SLND, as well as tumor size, is an independent prognostic factor for DFS (HR, 3.530; 95% CI, 1.120-11.119; P=0.031) and OS (HR, 13.076; 95% CI, 1.209-141.443; P=0.034).

Conclusions

For young (age ≤40) stage IA NSCLC patients with pathological invasive adenocarcinoma, intraoperative SLND can improve the DFS and OS. Further studies are needed to verify the most optimal degree of LND in young patients.