Act1 drives chemoresistance via regulation of antioxidant RNA metabolism and redox homeostasis.

The IL-17 receptor adaptor molecule Act1, an RNA-binding protein, plays a critical role in IL-17-mediated cancer progression. Here, we report a novel mechanism of how IL-17/Act1 induces chemoresistance by modulating redox homeostasis through epitranscriptomic regulation of antioxidant RNA metabolism. Transcriptome-wide mapping of direct Act1-RNA interactions revealed that Act1 binds to the 5'UTR of antioxidant mRNAs and Wilms' tumor 1-associating protein (WTAP), a key regulator in m6A methyltransferase complex. Strikingly, Act1's binding sites are located in proximity to m6A modification sites, which allows Act1 to promote the recruitment of elF3G for cap-independent translation. Loss of Act1's RNA binding activity or Wtap knockdown abolished IL-17-induced m6A modification and translation of Wtap and antioxidant mRNAs, indicating a feedforward mechanism of the Act1-WTAP loop. We then developed antisense oligonucleotides (Wtap ASO) that specifically disrupt Act1's binding to Wtap mRNA, abolishing IL-17/Act1-WTAP-mediated antioxidant protein production during chemotherapy. Wtap ASO substantially increased the antitumor efficacy of cisplatin, demonstrating a potential therapeutic strategy for chemoresistance.

Early Detection and Interception of Lung Cancer.

Recent advances in lung cancer treatment have led to dramatic improvements in 5-year survival rates. And yet, lung cancer remains the leading cause of cancer-related mortality, in large part, because it is often diagnosed at an advanced stage, when cure is no longer possible. Lung cancer screening (LCS) is essential for intercepting the disease at an earlier stage. Unfortunately, LCS has been poorly adopted in the United States, with less than 5% of eligible patients being screened nationally. This article will describe the data supporting LCS, the obstacles to LCS implementation, and the promising opportunities that lie ahead.

A Pilot Study Using Machine Learning Algorithms and Wearable Technology for the Early Detection of Postoperative Complications After Cardiothoracic Surgery.

OBJECTIVE: To evaluate whether a machine learning algorithm (i.e. the "NightSignal" algorithm) can be used for the detection of postoperative complications prior to symptom onset after cardiothoracic surgery. SUMMARY BACKGROUND DATA: Methods that enable the early detection of postoperative complications after cardiothoracic surgery are needed. METHODS: This was a prospective observational cohort study conducted from July 2021 to February 2023 at a single academic tertiary care hospital. Patients aged 18 years or older scheduled to undergo cardiothoracic surgery were recruited. Study participants wore a Fitbit watch continuously for at least 1 week preoperatively and up to 90-days postoperatively. The ability of the NightSignal algorithm-which was previously developed for the early detection of Covid-19-to detect postoperative complications was evaluated. The primary outcomes were algorithm sensitivity and specificity for postoperative event detection. RESULTS: A total of 56 patients undergoing cardiothoracic surgery met inclusion criteria, of which 24 (42.9%) underwent thoracic operations and 32 (57.1%) underwent cardiac operations. The median age was 62 (IQR: 51-68) years and 30 (53.6%) patients were female. The NightSignal algorithm detected 17 of the 21 postoperative events a median of 2 (IQR: 1-3) days prior to symptom onset, representing a sensitivity of 81%. The specificity, negative predictive value, and positive predictive value of the algorithm for the detection of postoperative events were 75%, 97%, and 28%, respectively. CONCLUSIONS: Machine learning analysis of biometric data collected from wearable devices has the potential to detect postoperative complications-prior to symptom onset-after cardiothoracic surgery.

Wedge Resection versus Stereotactic Body Radiation Therapy for Non-Small Cell Lung Cancer Tumors ≤8 mm.

The objective of this study was to evaluate the overall survival of patients with ≤8 mm non-small cell lung cancer (NSCLC) who undergo wedge resection versus stereotactic body radiation therapy (SBRT). Kaplan-Meier analysis, multivariable Cox proportional hazards modeling, and propensity score-matched analysis were performed to evaluate the overall survival of patients with ≤8 mm NSCLC in the National Cancer Database (NCDB) from 2004 to 2017 who underwent wedge resection versus patients who underwent SBRT. The above-mentioned matched analyses were repeated for patients with no comorbidities. Patients who were coded in the NCDB as having undergone radiation because surgery was contraindicated due to patient risk factors (e.g., comorbid conditions, advance age, etc.) and those with a history of prior malignancy were excluded from analysis. Of the 1505 patients who had NSCLC ≤8 mm during the study period, 1339 (89%) patients underwent wedge resection, and 166 (11%) patients underwent SBRT. In the unadjusted analysis, multivariable Cox modeling and propensity score-matched analysis, wedge resection was associated with improved survival when compared to SBRT. These results were consistent in a sensitivity analysis limited to patients with no comorbidities.

The International Association for the Study of Lung Cancer (IASLC) Staging Project for Lung Cancer: Recommendation to Introduce Spread Through Air Spaces as a Histologic Descriptor in the Ninth Edition of the TNM Classification of Lung Cancer. Analysis of 4061 Pathologic Stage I NSCLC.

INTRODUCTION: Spread through air spaces (STAS) consists of lung cancer tumor cells that are identified beyond the edge of the main tumor in the surrounding alveolar parenchyma. It has been reported by meta-analyses to be an independent prognostic factor in the major histologic types of lung cancer, but its role in lung cancer staging is not established. METHODS: To assess the clinical importance of STAS in lung cancer staging, we evaluated 4061 surgically resected pathologic stage I R0 NSCLC collected from around the world in the International Association for the Study of Lung Cancer database. We focused on whether STAS could be a useful additional histologic descriptor to supplement the existing ones of visceral pleural invasion (VPI) and lymphovascular invasion (LVI). RESULTS: STAS was found in 930 of 4061 of the pathologic stage I NSCLC (22.9%). Patients with tumors exhibiting STAS had a significantly worse recurrence-free and overall survival in both univariate and multivariable analyses involving cohorts consisting of all NSCLC, specific histologic types (adenocarcinoma and other NSCLC), and extent of resection (lobar and sublobar). Interestingly, STAS was independent of VPI in all of these analyses. CONCLUSIONS: These data support our recommendation to include STAS as a histologic descriptor for the Ninth Edition of the TNM Classification of Lung Cancer. Hopefully, gathering these data in the coming years will facilitate a thorough analysis to better understand the relative impact of STAS, LVI, and VPI on lung cancer staging for the Tenth Edition TNM Stage Classification.

Pack-Year Smoking History: An Inadequate and Biased Measure to Determine Lung Cancer Screening Eligibility.

PURPOSE: Pack-year smoking history is an imperfect and biased measure of cumulative tobacco exposure. The use of pack-year smoking history to determine lung cancer screening eligibility in the current US Preventive Services Task Force (USPSTF) guideline may unintentionally exclude many high-risk individuals, especially those from racial and ethnic minority groups. It is unclear whether using a smoking duration cutoff instead of a smoking pack-year cutoff would improve the selection of individuals for screening. METHODS: We analyzed 49,703 individuals with a smoking history from the Southern Community Cohort Study (SCCS) and 22,126 individuals with a smoking history from the Black Women's Health Study (BWHS) to assess eligibility for screening under the USPSTF guideline versus a proposed guideline that replaces the ≥20-pack-year criterion with a ≥20-year smoking duration criterion. RESULTS: Under the USPSTF guideline, only 57.6% of Black patients with lung cancer in the SCCS would have qualified for screening, whereas a significantly higher percentage of White patients with lung cancer (74.0%) would have qualified (P < .001). Under the proposed guideline, the percentage of Black and White patients with lung cancer who would have qualified for screening increased to 85.3% and 82.0%, respectively, eradicating the disparity in screening eligibility between the groups. In the BWHS, using a 20-year smoking duration cutoff instead of a 20-pack-year cutoff increased the percentage of Black women with lung cancer who would have qualified for screening from 42.5% to 63.8%. CONCLUSION: Use of a 20-year smoking duration cutoff instead of a 20-pack-year cutoff greatly increases the proportion of patients with lung cancer who would qualify for screening and eliminates the racial disparity in screening eligibility between Black versus White individuals; smoking duration has the added benefit of being easier to calculate and being a more precise assessment of smoking exposure compared with pack-year smoking history.

Penalized deep partially linear cox models with application to CT scans of lung cancer patients.

Lung cancer is a leading cause of cancer mortality globally, highlighting the importance of understanding its mortality risks to design effective patient-centered therapies. The National Lung Screening Trial (NLST) employed computed tomography texture analysis, which provides objective measurements of texture patterns on CT scans, to quantify the mortality risks of lung cancer patients. Partially linear Cox models have gained popularity for survival analysis by dissecting the hazard function into parametric and nonparametric components, allowing for the effective incorporation of both well-established risk factors (such as age and clinical variables) and emerging risk factors (eg, image features) within a unified framework. However, when the dimension of parametric components exceeds the sample size, the task of model fitting becomes formidable, while nonparametric modeling grapples with the curse of dimensionality. We propose a novel Penalized Deep Partially Linear Cox Model (Penalized DPLC), which incorporates the smoothly clipped absolute deviation (SCAD) penalty to select important texture features and employs a deep neural network to estimate the nonparametric component of the model. We prove the convergence and asymptotic properties of the estimator and compare it to other methods through extensive simulation studies, evaluating its performance in risk prediction and feature selection. The proposed method is applied to the NLST study dataset to uncover the effects of key clinical and imaging risk factors on patients' survival. Our findings provide valuable insights into the relationship between these factors and survival outcomes.

Long-term Survival After Lung Cancer Resection in the National Lung Screening Trial.

BACKGROUND: This study sought to evaluate the long-term survival and causes of death after surgery among patients with pathologic stage IA non-small cell lung cancer (NSCLC) in the National Lung Screening Trial (NLST). METHODS: Patients who underwent surgery and who had a diagnosis of pathologic stage IA NSCLC in the NLST were identified for analysis. The 5- and 10-year overall survival and lung cancer-specific survival, stratified by operation type, were evaluated. Among patients who underwent lobectomy, the causes of death and the cumulative incidence of lung cancer death were assessed. RESULTS: A total of 380 patients (n = 329, 86.6% lobectomy; n = 20, 5.3% segmentectomy; n = 31, 8.1% wedge resection) met inclusion criteria. Median follow-up time from the date of surgery was 7.8 years (interquartile range, 4.8-10.7 years). The 10-year overall survival rate was 58.3% (95% CI, 52.4%-63.8%) for lobectomy, 59.9% (95% CI, 33.2%-78.8%) for segmentectomy, and 45.2% (95% CI, 20.8%-66.9%) for wedge resection. The 10-year lung cancer-specific survival rate was 74.3% (95% CI, 68.6%-79.1%) for lobectomy, 81.3% (95% CI, 51.3%-93.8%) for segmentectomy, and 84.8% (95% CI, 64.0%-94.1%) for wedge resection. Lung cancer was the leading cause of death, accounting for 55.8% of deaths after lobectomy. The 10-year cumulative incidence of lung cancer death after lobectomy was 22.5% (95% CI, 18.3%-27.1%). CONCLUSIONS: The 10-year overall survival rate after lobectomy among patients with pathologic stage IA NSCLC in the NLST was 58%. Lung cancer was the leading cause of death, accounting for more than 55% of deaths.

Long-Term Survival of American Joint Committee on Cancer 8th Edition Staging Descriptors for Clinical M1a Non-Small Cell Lung Cancer.

BACKGROUND: The American Joint Committee on Cancer (AJCC) 8th edition TNM staging manual for non-small cell lung cancer (NSCLC) M1a descriptors includes tumors presenting with malignant pleural or pericardial effusion (ie, M1a-Effusion), pleural or pericardial nodule(s) (ie, M1a-Pleural), or separate tumor nodule(s) in a contralateral lobe (ie, M1a-Contralateral). RESEARCH QUESTION: Is M1a NSCLC presenting with malignant pleural or pericardial effusion associated with worse survival compared with other types of M1a NSCLC? STUDY DESIGN AND METHODS: Patients with cT1-4, N0-3, M1a NSCLC (satisfying a single M1a descriptor of M1a-Effusion, M1a-Pleural, or M1a-Contralateral), according to AJCC eighth edition staging criteria, in the National Cancer Database from 2010 to 2015 were included. Overall survival was evaluated by using Kaplan-Meier analysis, multivariable-adjusted Cox proportional hazards modeling, and propensity score matching. RESULTS: Of the 25,716 patients who met study eligibility criteria, 12,756 (49.6%) presented with M1a-Effusion tumors, 3,589 (14.0%) with M1a-Pleural tumors, and 9,371 (36.4%) with M1a-Contralateral tumors. In multivariable-adjusted analysis, compared to M1a-Effusion tumors, both M1a-Pleural tumors (hazard ratio, 0.68; 95% CI, 0.64-0.71; P < .001) and M1a-Contralateral tumors (hazard ratio, 0.66; 95% CI, 0.64-0.69; P < .001) were associated with better overall survival. No significant differences were found in overall survival between patients with M1a-Pleural tumors vs M1a-Contralateral tumors. In a propensity score-matched analysis of 5,581 patients with M1a-Effusion tumors and 5,581 patients with other M1a tumors (ie, M1a-Contralateral or M1a-Effusion), those with M1a-Effusion tumors had worse 5-year overall survival than patients with other M1a tumors (M1a-Effusion 6.4% [95% CI, 5.7-7.1] vs M1a-Other 10.6% [95% CI, 9.7-11.5]; P < .001). INTERPRETATION: In this national analysis of AJCC 8th edition cT1-4, N0-3, M1a NSCLC, tumors with malignant pleural or pericardial effusion were associated with worse overall survival than tumors with either pleural or contralateral pulmonary nodules. These findings may be taken into consideration for the upcoming ninth edition of the AJCC lung cancer staging guidelines.

Shortage of thoracic surgeons in the United States: Implications for treatment and survival for stage I lung cancer patients.

OBJECTIVES: To evaluate whether there is a shortage of thoracic surgeons in the United States and whether any potential shortage is impacting lung cancer treatment and outcomes. DESIGN: Using the US Area Health Resources File and Surveillance Epidemiology End Results database, we assessed the number of cardiothoracic surgeons per 100,000 people and the number of stage I non-small cell lung cancer (NSCLC) diagnoses in the US in 2010 versus 2018. Changes in the percentage of patients diagnosed with stage I NSCLC who underwent surgery and stereotactic body radiotherapy and changes in overall survival of patients with stage I NSCLC from 2010 to 2018 in the National Cancer Database were evaluated using multivariable logistic regression and Cox proportional hazards modeling. RESULTS: From 2010 to 2018, the number of cardiothoracic surgeons per 100,000 people in the US decreased by 12% (P < .001), while the number of patients diagnosed with stage I NSCLC increased by 40% (P < .001). Over the same period, the percentage of patients who underwent surgery for stage I NSCLC decreased from 81.0% to 72.3% (adjusted odds ratio, 0.59; 95% confidence interval, 0.55-0.63); this decrease was similarly seen in a subgroup of young and otherwise healthy patients. Greater decreases in the percentage of patients who underwent surgery in nonmetropolitan and underserved regions corresponded with worse improvements in survival among patients in these regions from 2010 to 2018. CONCLUSIONS: Recent declines in the US cardiothoracic surgery workforce may have led to significantly fewer patients undergoing surgery for stage I NSCLC and worsening disparities in survival between different patient populations.

Completeness of Resection and Long-Term Survival of Patients Undergoing Resection for Pathologic T3 NSCLC: An International Association for the Study of Lung Cancer Analysis.

INTRODUCTION: Currently, tumors with different histopathologic characteristics and oncologic outcomes comprise the T3 category of the eight edition TNM classification for lung cancers. To better understand the T3 category, we evaluated completeness of resection and long-term survival in patients undergoing resection for T3 NSCLC. METHODS: The International Association for the Study of Lung Cancer 1999 to 2010 database was queried for patients with pathologic T3N0M0 NSCLC who underwent lobectomy or pneumonectomy. The primary outcome evaluated was overall survival (OS) stratified by T3 descriptors and completeness of resection. RESULTS: Of 1448 patients with T3N0M0 tumors, 1187 (82.0%) had a single descriptor defining them as T3. T3 tumors with chest wall infiltration (CWI) or parietal pleura infiltration (PL3) had the highest rates of incomplete resection (9.8% and 8.4%, respectively), and those classified as T3 by size only had the lowest rate of incomplete resection (2.9%). Individual T3 descriptors were associated with significant differences in OS (p = 0.005). When tumors with similar survival and complete resection rates were grouped, patients with T3 tumors characterized by size or the presence of a separate nodule (SN) in the same lobe had better 5-year OS than patients with tumors characterized by PL3 or CWI (size/SN 60% versus CWI/PL3 53%, p = 0.017) independent of completeness of resection. CONCLUSIONS: Significant differences in 5-year OS were associated with size, SN, PL3, or CWI T3 descriptors. Subdividing pathologic T3N0M0 tumors according to the presence or absence of CWI or PL3 may increase the prognostic accuracy of tumor staging.

Surgical management of non-small cell lung cancer with limited metastatic disease involving only the brain.

OBJECTIVE: The optimal primary site treatment modality for non-small cell lung cancer with brain oligometastases is not well established. This study sought to evaluate the long-term survival of patients with non-small cell lung cancer with isolated brain metastases undergoing multimodal therapy with or without thoracic surgery. METHODS: Patients with cT1-3, N0-1, M1b-c non-small cell lung cancer with synchronous limited metastatic disease involving only the brain treated with brain stereotactic radiosurgery or neurosurgical resection in the National Cancer Database (2010-2017) were included. Long-term overall survival of patients who underwent multimodal therapy including thoracic surgery ("Thoracic Surgery") versus systemic therapy with or without radiation to the lung ("No Thoracic Surgery") was evaluated using Kaplan-Meier analysis, Cox proportional hazards modeling, and propensity score matching. RESULTS: Of the 1240 patients with non-small cell lung cancer with brain-only metastases who received brain stereotactic radiosurgery or neurosurgery and met study inclusion criteria, 270 (21.8%) received primary site resection. The Thoracic Surgery group had improved overall survival compared with the No Thoracic Surgery group in Kaplan-Meier analysis (P < .001) and after multivariable-adjusted Cox proportional hazards modeling (P < .001). In a propensity score-matched analysis of 175 patients each in the Thoracic Surgery and No Thoracic Surgery groups, matching on 13 common prognostic variables, thoracic surgery was associated with better survival (P = .012). CONCLUSIONS: In this national analysis, patients with cT1-3, N0-1, M1b-c non-small cell lung cancer with isolated limited brain metastases had better overall survival after multimodal therapy including thoracic surgery compared with systemic therapy without surgery. Multimodal thoracic treatment including surgery can be considered for carefully selected patients with non-small cell lung cancer and limited brain metastases.

Unspoken Truths: Mental Health Among Academic Surgeons.

OBJECTIVE: To characterize the current state of mental health within the surgical workforce in the United States. BACKGROUND: Mental illness and suicide is a growing concern in the medical community; however, the current state is largely unknown. METHODS: Cross-sectional survey of the academic surgery community assessing mental health, medical error, and suicidal ideation. The odds of suicidal ideation adjusting for sex, prior mental health diagnosis, and validated scales screening for depression, anxiety, post-traumatic stress disorder (PTSD), and alcohol use disorder were assessed. RESULTS: Of 622 participating medical students, trainees, and surgeons (estimated response rate=11.4%-14.0%), 26.1% (141/539) reported a previous mental health diagnosis. In all, 15.9% (83/523) of respondents screened positive for current depression, 18.4% (98/533) for anxiety, 11.0% (56/510) for alcohol use disorder, and 17.3% (36/208) for PTSD. Medical error was associated with depression (30.7% vs. 13.3%, P <0.001), anxiety (31.6% vs. 16.2%, P =0.001), PTSD (12.8% vs. 5.6%, P =0.018), and hazardous alcohol consumption (18.7% vs. 9.7%, P =0.022). Overall, 13.2% (73/551) of respondents reported suicidal ideation in the past year and 9.6% (51/533) in the past 2 weeks. On adjusted analysis, a previous history of a mental health disorder (aOR: 1.97, 95% CI: 1.04-3.65, P =0.033) and screening positive for depression (aOR: 4.30, 95% CI: 2.21-8.29, P <0.001) or PTSD (aOR: 3.93, 95% CI: 1.61-9.44, P =0.002) were associated with increased odds of suicidal ideation over the past 12 months. CONCLUSIONS: Nearly 1 in 7 respondents reported suicidal ideation in the past year. Mental illness and suicidal ideation are significant problems among the surgical workforce in the United States.

Surgery for M1A Non-Small-Cell Lung Cancer With Additional Pulmonary Nodules in a Contralateral Lobe.

INTRODUCTION: Limited consensus exists on the optimal treatment strategy for clinical M1a non-small-cell lung cancer (NSCLC) presenting as a primary tumor with additional intrapulmonary nodules in a contralateral lobe ("M1a-Contra"). This study sought to compare long-term survival of patients with M1a-Contra tumors receiving multimodal therapy with versus without thoracic surgery. METHODS: Overall survival of patients with cT1-4, N0-3, M1a NSCLC with contralateral intrapulmonary nodules who received surgery as part of multimodal therapy ("Thoracic Surgery") versus systemic therapy with or without radiation ("No Thoracic Surgery") in the National Cancer Database from 2010 to 2015 was evaluated using Kaplan-Meier analysis, Cox proportional hazards modeling, and propensity score matching. RESULTS: Of the 5042 patients who satisfied study inclusion criteria, 357 (7.1%) received multimodal therapy including surgery. In multivariable-adjusted analysis, the Thoracic Surgery cohort had better overall survival than the No Thoracic Surgery cohort (HR: 0.66, 95% CI: 0.56-0.79, P < 0.001). In a propensity score-matched analysis of 386 patients, well-balanced on 12 common prognostic covariates, the Thoracic Surgery group had better 5-year overall survival than the No Thoracic Surgery group (P = 0.020). In propensity score-matched analyses stratified by clinical N status, Thoracic Surgery was associated with better overall survival than No Thoracic Surgery for patients with cN0 disease and cN1-2 disease. CONCLUSIONS: In this national analysis, multimodal treatment including surgery was associated with better overall survival than systemic therapy with or without radiation without surgery for patients with M1a-Contra tumors. These preliminary findings highlight the importance of further evaluation of surgery in a multidisciplinary treatment setting for M1a-Contra tumors.

Segmentectomy versus lobectomy in the United States: Outcomes after resection for first primary lung cancer and treatment patterns for second primary lung cancers.

OBJECTIVE: The study objective was to identify whether the results of JCOG0802 could be generalized to US clinical settings. METHODS: Patients diagnosed with clinical stage IA (≤2 cm) non-small cell lung cancer who underwent segmentectomy versus lobectomy (2004-2017) in the National Cancer Database were identified. Overall survival of patients in the National Cancer Database was assessed using propensity score-matched analysis. A separate analysis of the Surveillance Epidemiology End Results database was conducted to evaluate treatment patterns of second primary lung cancers among patients who underwent segmentectomy versus lobectomy for a first primary lung cancer. RESULTS: Of the 23,286 patients in the National Cancer Database meeting inclusion criteria, 1397 (6.0%) underwent segmentectomy and 21,889 (94.0%) underwent lobectomy. In a propensity score-matched analysis of all patients in the study cohort, there were no significant differences in overall survival between patients undergoing segmentectomy versus lobectomy (5-year overall survival: 79.9% [95% CI, 76.7%-82.0%] vs 81.8% [95% CI, 78.7%-84.4%], log-rank: P = .72). In subgroup analyses by tumor grade and histologic subtype, segmentectomy was associated with similar overall survival compared with lobectomy in all subgroups evaluated. In a propensity score-matched analysis of patients in the Surveillance Epidemiology End Results database, there were no significant differences in treatment patterns of second primary lung cancers between patients who underwent segmentectomy and patients who underwent lobectomy for their first primary lung cancer. CONCLUSIONS: In this national analysis of US patients diagnosed with stage IA (≤2 cm) non-small cell lung cancer, there were no significant differences in overall survival between segmentectomy and lobectomy in the overall cohort or in subgroup analyses by tumor grade or histologic subtype.

The International Association for the Study of Lung Cancer Lung Cancer Staging Project: Proposals for the Revisions of the T-Descriptors in the Forthcoming Ninth Edition of the TNM Classification for Lung Cancer.

INTRODUCTION: An international database was created by the International Association for the Study of Lung Cancer to inform on the ninth edition of the TNM classification of lung cancer. The present analyses concern its T component. METHODS: Data on 124,581 patients diagnosed with lung cancer from January 1, 2011 to December 31, 2019 were submitted to the International Association for the Study of Lung Cancer database. Of these, 33,982 met the inclusion criteria for the clinical T analysis, and 30,715 met the inclusion criteria for the pathologic postsurgical analysis. Survival was measured from the date of diagnosis or operation for clinically and pathologically staged tumors, respectively. T descriptors were evaluated in univariate analysis and multivariable Cox regression analysis adjusted for age, sex, pathologic type, and geographic region. RESULTS: Comprehensive survival analysis revealed that the existing eighth edition T component criteria performed adequately in the ninth edition data set. Although pathologic chest wall or parietal pleura involvement (PL 3) yielded a worse survival compared with the other T3 descriptors, with a similar survival as T4 tumors, this difference was not observed for clinical chest wall or PL 3 tumors. Because of these inconsistent findings, no reallocation of chest wall or PL 3 tumors is advised. CONCLUSIONS: The T subcommittee members proposed not to implement any changes and keep the current eighth-edition T descriptors for the ninth edition.

The International Association for the Study of Lung Cancer Staging Project for Lung Cancer: Proposals for the Revision of the N Descriptors in the Forthcoming Ninth Edition of the TNM Classification for Lung Cancer.

INTRODUCTION: The accurate assessment of nodal (N) status is crucial to the management and prognostication of nonmetastatic NSCLC. We sought to determine whether the current N descriptors should be maintained or revised for the upcoming ninth edition of the international TNM lung cancer staging system. METHODS: Data were assembled by the International Association for the Study of Lung Cancer on patients with NSCLC, detailing both clinical and pathologic N status, with information about anatomical location and individual station-level identification. Survival was calculated by the Kaplan-Meier method and prognostic groups were assessed by a Cox regression analysis. RESULTS: Data for clinical N and pathologic N status were available in 45,032 and 35,009 patients, respectively. The current N0 to N3 descriptors for both clinical N and pathologic N categories reflect prognostically distinct groups. Furthermore, single-station N2 involvement (N2a) exhibited a better prognosis than multistation N2 involvement (N2b) in both clinical and pathologic classifications, and the differences between all neighboring nodal subcategories were highly significant. The prognostic differences between N2a and N2b were robust and consistent across resection status, histologic type, T category, and geographic region. CONCLUSIONS: The current N descriptors should be maintained, with the addition of new subdescriptors to N2 for single-station involvement (N2a) and multiple-station involvement (N2b).

Persistent race- and sex-based disparities in lung cancer screening eligibility.

OBJECTIVE: To evaluate race- and sex-based disparities in lung cancer screening eligibility under the 2013 US Preventive Services Task Force, 2021 US Preventive Services Task Force, and National Comprehensive Cancer Network lung cancer screening guidelines. METHODS: Participants in the Southern Community Cohort Study with a smoking history diagnosed with lung cancer from 2002 to 2021 were identified for analysis. Differences in age at lung cancer diagnosis and smoking characteristics were evaluated among 4 groups: Black men, Black women, White men, and White women. RESULTS: A total of 2011 patients with lung cancer met study inclusion criteria, of whom 968 (48.1%) were women and 1248 (62.1%) were Black. Under the 2013 guideline, Black men with lung cancer were significantly less likely to be eligible for screening when compared with White men with lung cancer (37.7% vs 62.4%; P < .001), and Black women with lung cancer were significantly less likely to be eligible for screening when compared with White women with lung cancer (27.8% vs 56.7%; P < .001). Under the 2021 guideline, 62.6% of Black and 73.8% of White men (P < .001) with lung cancer would have been eligible for screening, resulting in an 11.2 percentage point difference in screening eligibility between Black and White men. Under the 2021 guideline, 50.3% of Black and 74.9% of White (P < .001) women with lung cancer would have been eligible for screening; notably, there remained a 24.6 percentage point difference in screening eligibility between Black and White women. In multivariable-adjusted analysis, under the 2021 USPSTF guideline, Black men with lung cancer had 46% lower odds of being eligible for screening compared with White men with lung cancer (multivariable-adjusted odds ratio [aOR], 0.54; 95% CI, 0.39-0.76; P < .001) and Black women with lung cancer had 66% lower odds of being eligible for screening compared with White women with lung cancer (aOR, 0.34; 95% CI, 0.25-0.46; P < .001). The National Comprehensive Cancer Network guideline increased the proportion of patients with lung cancer eligible for screening in each group. CONCLUSIONS: In this analysis of patients with lung cancer in the Southern Community Cohort Study, there remained a large gap in lung cancer screening eligibility between Black and White men and women under the 2021 US Preventive Services Task Force guideline. Only 50% of Black women and 63% of Black men diagnosed with lung cancer would have qualified for screening.

Role of sex in lung cancer risk prediction based on single low-dose chest computed tomography.

A validated open-source deep-learning algorithm called Sybil can accurately predict long-term lung cancer risk from a single low-dose chest computed tomography (LDCT). However, Sybil was trained on a majority-male cohort. Use of artificial intelligence algorithms trained on imbalanced cohorts may lead to inequitable outcomes in real-world settings. We aimed to study whether Sybil predicts lung cancer risk equally regardless of sex. We analyzed 10,573 LDCTs from 6127 consecutive lung cancer screening participants across a health system between 2015 and 2021. Sybil achieved AUCs of 0.89 (95% CI: 0.85-0.93) for females and 0.89 (95% CI: 0.85-0.94) for males at 1 year, p = 0.92. At 6 years, the AUC was 0.87 (95% CI: 0.83-0.93) for females and 0.79 (95% CI: 0.72-0.86) for males, p = 0.01. In conclusion, Sybil can accurately predict future lung cancer risk in females and males in a real-world setting and performs better in females than in males for predicting 6-year lung cancer risk.

Update on Lung Cancer Screening Guideline.

Lung cancer screening has been shown to reduce lung cancer mortality and is recommended for individuals meeting age and smoking history criteria. Despite the expansion of lung cancer screening guidelines in 2021, racial/ethnic and sex disparities persist. High-risk racial minorities and women are more likely to be diagnosed with lung cancer at younger ages and have lower smoking histories when compared with White and male counterparts, resulting in higher rates of ineligibility for screening. Risk prediction models, biomarkers, and deep learning may help refine the selection of individuals who would benefit from screening.