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Over the past 10 years, lung cancer clinical and translational research has been characterised by exponential progress, exemplified by the introduction of molecularly targeted therapies, immunotherapy and chemo-immunotherapy combinations to stage III and IV non-small cell lung cancer. Along with squamous and small cell lung cancers, large cell neuroendocrine carcinoma (LCNEC) now represents an area of unmet need, particularly hampered by the lack of an encompassing pathological definition that can facilitate real-world and clinical trial progress. The steps we have proposed in this article represent an iterative and rational path forward towards clinical breakthroughs that can be modelled on success in other lung cancer pathologies.

Spatial and temporal dissection of the genomic changes occurring during the evolution of human non–small cell lung cancer (NSCLC) may help elucidate the basis for its dismal prognosis. We sequenced 25 spatially distinct regions from seven operable NSCLCs and found evidence of branched evolution, with driver mutations arising before and after subclonal diversification. There was pronounced intratumor heterogeneity in copy number alterations, translocations, and mutations associated with APOBEC cytidine deaminase activity. Despite maintained carcinogen exposure, tumors from smokers showed a relative decrease in smoking-related mutations over time, accompanied by an increase in APOBEC-associated mutations. In tumors from former smokers, genome-doubling occurred within a smoking-signature context before subclonal diversification, which suggested that a long period of tumor latency had preceded clinical detection. The regionally separated driver mutations, coupled with the relentless and heterogeneous nature of the genome instability processes, are likely to confound treatment success in NSCLC.

Cell-in-cell (CIC) structures are commonly seen in tumours. Their biological significance remains unclear, although they have been associated with more aggressive tumours. Here we report that mutant p53 promotes CIC via live cell engulfment. Engulfed cells physically interfere in cell divisions of host cells and for cells without p53 this leads to host cell death. In contrast, mutant p53 host cells survive, display aberrant divisions, multinucleation and tripolar mitoses. In xenograft studies, CIC-rich p53 mutant/null co-cultures show enhanced tumour growth. Furthermore, our results show that CIC is common within lung adenocarcinomas, is an independent predictor of poor outcome and disease recurrence, is associated with mutant p53 expression and correlated to measures of heterogeneity and genomic instability. These findings suggest that pro-tumorigenic entotic engulfment activity is associated with mutant p53 expression, and the two combined are a key factor in genomic instability. Cell-in-cell (CIC) structures are frequently observed in cancers; however, it is unclear how their formation contributes to tumorigenesis. Here, the authors show that the high frequency of CIC is linked to mutant p53 status and CIC containing p53 mutant cancer cells are pro-tumorigenic due to enhanced genomic instability.

The importance of intratumour genetic and functional heterogeneity is increasingly recognised as a driver of cancer progression and survival outcome. Understanding how tumour clonal heterogeneity impacts upon therapeutic outcome, however, is still an area of unmet clinical and scientific need. TRACERx (TRAcking non-small cell lung Cancer Evolution through therapy [Rx]), a prospective study of patients with primary non-small cell lung cancer (NSCLC), aims to define the evolutionary trajectories of lung cancer in both space and time through multiregion and longitudinal tumour sampling and genetic analysis. By following cancers from diagnosis to relapse, tracking the evolutionary trajectories of tumours in relation to therapeutic interventions, and determining the impact of clonal heterogeneity on clinical outcomes, TRACERx may help to identify novel therapeutic targets for NSCLC and may also serve as a model applicable to other cancer types.

IntroductionFibroblastic foci represent the cardinal pathogenic lesion in idiopathic pulmonary fibrosis (IPF) and comprise activated fibroblasts and myofibroblasts, the key effector cells responsible for dysregulated extracellular matrix deposition in multiple fibrotic conditions. The aim of this study was to define the major transcriptional programmes involved in fibrogenesis in IPF by profiling unmanipulated myofibroblasts within fibrotic foci in situ by laser capture microdissection.MethodsThe challenges associated with deriving gene calls from low amounts of RNA and the absence of a meaningful comparator cell type were overcome by adopting novel data mining strategies and by using weighted gene co-expression network analysis (WGCNA), as well as an eigengene-based approach to identify transcriptional signatures, which correlate with fibrillar collagen gene expression.ResultsWGCNA identified prominent clusters of genes associated with cell cycle, inflammation/differentiation, translation and cytoskeleton/cell adhesion. Collagen eigengene analysis revealed that transforming growth factor β1 (TGF-β1), RhoA kinase and the TSC2/RHEB axis formed major signalling clusters associated with collagen gene expression. Functional studies using CRISPR-Cas9 gene-edited cells demonstrated a key role for the TSC2/RHEB axis in regulating TGF-β1-induced mechanistic target of rapamycin complex 1 activation and collagen I deposition in mesenchymal cells reflecting IPF and other disease settings, including cancer-associated fibroblasts.ConclusionThese data provide strong support for the human tissue-based and bioinformatics approaches adopted to identify critical transcriptional nodes associated with the key pathogenic cell responsible for fibrogenesis in situ and further identify the TSC2/RHEB axis as a potential novel target for interfering with excessive matrix deposition in IPF and other fibrotic conditions.

In cancer cachexia trials, measures of physical function are commonly used as endpoints. For drug trials to obtain regulatory approval, efficacy in physical function endpoints may be needed alongside other measures. However, it is not clear which physical function endpoints should be used. The aim of this systematic review was to assess the frequency and diversity of physical function endpoints in cancer cachexia trials. Following a comprehensive electronic literature search of MEDLINE, Embase and Cochrane (1990–2021), records were retrieved. Eligible trials met the following criteria: adults (≥18 years), controlled design, more than 40 participants, use of a cachexia intervention for more than 14 days and use of a physical function endpoint. Physical function measures were classified as an objective measure (hand grip strength [HGS], stair climb power [SCP], timed up and go [TUG] test, 6‐min walking test [6MWT] and short physical performance battery [SPPB]), clinician assessment of function (Karnofsky Performance Status [KPS] or Eastern Cooperative Oncology Group‐Performance Status [ECOG‐PS]) or patient‐reported outcomes (physical function subscale of the European Organisation for the Research and Treatment of Cancer Quality of Life Questionnaires [EORTC QLQ‐C30 or C15]). Data extraction was performed using Covidence and followed PRISMA guidance (PROSPERO registration: CRD42022276710). A total of 5975 potential studies were examined and 71 were eligible. Pharmacological interventions were assessed in 38 trials (54%). Of these, 11 (29%, n  = 1184) examined megestrol and 5 (13%, n  = 1928) examined anamorelin; nutritional interventions were assessed in 21 trials (30%); and exercise‐based interventions were assessed in 6 trials (8%). The remaining six trials (8%) assessed multimodal interventions. Among the objective measures of physical function (assessed as primary or secondary endpoints), HGS was most commonly examined (33 trials, n  = 5081) and demonstrated a statistically significant finding in 12 (36%) trials ( n  = 2091). The 6MWT was assessed in 12 trials ( n  = 1074) and was statistically significant in 4 (33%) trials ( n  = 403), whereas SCP, TUG and SPPB were each assessed in 3 trials. KPS was more commonly assessed than the newer ECOG‐PS (16 vs. 9 trials), and patient‐reported EORTC QLQ‐C30 physical function was reported in 25 trials. HGS is the most commonly used physical function endpoint in cancer cachexia clinical trials. However, heterogeneity in study design, populations, intervention and endpoint selection make it difficult to comment on the optimal endpoint and how to measure this. We offer several recommendations/considerations to improve the design of future clinical trials in cancer cachexia.

Purpose: Evaluation of predictors and outcomes in NSCLC patients treated with an immune checkpoint inhibitor (ICI) following a severe immune-related adverse event (irAE). Methods: We included all NSCLC patients receiving ≥1 ICI cycle and corticosteroids for CTCAE Grade ≥3 irAEs between 2017 and 2023 from three UK NHS teaching hospitals. Progression-free survival (PFS) and overall survival (OS) after the 1st irAE, best overall response (BOR) to ICI, and predictors of clinical benefit were evaluated. Kaplan–Meier, Cox and logistic regression models, and Wilcoxon tests were used. Results: We screened 1658 NSCLC patients and identified 80 eligible subjects. The majority of patients had metastatic (n = 50, 63%) vs. localized (n = 30, 37%) NSCLC. Most patients developed a single ≥Grade 3 irAE on 1st line ICI (n = 71, 89%). Overall, 14 (18%) patients developed 2nd irAEs, 7 after rechallenge with ICIs. In the complete cohort, median OS after 1st irAE was 15.84 months (95% CI, 12.45–26.91). Lower neutrophil-to-lymphocyte ratio (NLR), patients receiving >4 cycles of ICI or median duration of ICI of >2.76 months before 1st irAE were associated with improved OS (p < 0.05), the latter two with PFS (p < 0.05). Age, gender, stage, KRAS mutation, PD-L1 and ICI type were not associated with PFS or OS. Pneumonitis as 1st irAE had the worst PFS and OS (p < 0.05). Median starting corticosteroid dose of ≤60 mg for 1st irAE had an improved OS (p = 0.04). Post 1st irAE response associated with better PFS and OS (p < 0.05). Number and duration of irAEs and additional immunosuppressive agents (14% of patients) were not associated with PFS or OS. Conclusions: In ≥Grade 3 irAEs patients managed with corticosteroids, lower baseline NLR, longer ICI use, response to ICI after 1st irAE, and a ≤60 mg corticosteroid dose had promising outcomes.

The original version of this article incorrectly omitted an affiliation of Patricia A. J. Muller: ‘Cancer Research UK Manchester Institute, The University of Manchester | Alderley Park, Manchester, SK10 4TG, UK’. This has been corrected in both the PDF and HTML versions of the Article.

Tracking circulating tumour DNA (ctDNA) after surgery holds promise for patient management and therapeutic intervention in non-small-cell lung cancer (NSCLC). A study published by Zhang and colleagues tracks ctDNA from 261 patients with stages I–III NSCLC and suggests that the likelihood of disease relapse decreases for high-risk stage II/III patients after 18 months without ctDNA detection.

Lung adenocarcinomas (LUADs) encompass a broad spectrum of histological appearances. We use multi-region, prospective and longitudinal sampling from the TRACERx dataset to show the relationship between LUAD morphologies and their underlying evolutionary genomic landscape, as well as clinical risk and the nature of metastatic dissemination.