Despite recent advances in the treatment of advanced melanoma using immune checkpoint inhibitors (ICI), 5-year overall survival remains suboptimal. A clear understanding of the potential evolutionary trajectories of melanoma is needed in order to advance treatment and prognostic options. Here we present the Posthumous Evaluation of Advanced Cancer Environment (PEACE) study of advanced melanoma, revealing a diversity of evolutionary pathways to lethality. This interim analysis of our 50-patient cohort comprises 14 ICI-treated patients with a mixture of phenotypic subtypes, including cutaneous, acral, mucosal and melanoma of unknown primary. The sampling regime encompasses a broad range of visceral metastases from various organ sites, with a total of 573 tumor samples (an average of 40 samples per patient). Our data span a variety of modalities, including exomic, transcriptomic, panel sequencing, single cell sequencing, FISH, and radiological data. Clonal phylogenies of patients were diverse in structure: some followed a linear evolutionary trajectory with little to no branching, whereas others followed a branched evolutionary pattern. We also observed various patterns of metastatic seeding, with both monoclonal and polyclonal cases of seeding. In addition, patients treated with chemotherapy showed higher subclonal mutational burden than those without. As with previous literature, we found extensive copy number alterations in these advanced melanomas. In contrast, however, our data also reveal patients with no incidence of WGD, with previous work finding this to be a ubiquitous feature of advanced melanoma. In cases of WGD, the majority of copy number alterations were losses rather than gains. In terms of treatment resistance, we observed loss of heterozygosity in key genes of the antigen presentation pathway (most notably B2M), and little signal of neoantigen loss via immunoediting, indicating that these tumors develop resistance to ICI regardless of neoantigen burden. A further question of interest was the determination of lesion-level factors influencing response to ICI treatment using radiological data. MYC amplification was significantly associated with non-responding lesions, whilst PBX1, a promoter of natural killer cells, was shown to be significantly amplified in responding lesions. Our single-cell data reveal a case of polyclonal seeding at the level of whole-genome doubling. This has implications for sample-level phylogenies that are inferred from copy-number status, indicating that intra-tumor heterogeneity at the level of copy number could confound these trees. We also find a potentially novel driver of melanoma, PHF3. This gene has previously been associated with UV DNA-damage response, however here it was found in a non-sun damaged melanoma to have a clonal, focal 7n copy number gain in an otherwise diploid cancer, with corresponding upregulation of expression. In summary, our study comprises an extensive intra-patient, multi-lesion analysis of advanced melanoma, with important implications in both technical and clinical settings. Citation Format: Alexander Coulton, Irene Lobon, Lavinia Spain, Andrew Rowan, Desiree Shnidrig, Scott Shepherd, Ben Shum, Fiona Byrne, Lewis Au, Kim Edmonds, Ellie Carlyle, Alexandra Renn, Christina Messiou, Charlotte Spencer, Andreas M. Schmidt, Zayd Tippu, Aljosja Rogiers, Max Emmerich, Camille Gerard, Husayn Pallikonda, Cristina Naceur-Lombardelli, Floris Foijer, Hilda van den Bos, René Wardenaar, Diana Spierings, Kate Young, Lisa Pickering, Andrew Furness, Elaine Borg, Miriam Mitchison, David Moore, Mary Falzon, Ian Proctor, Ruby Stewart, Ula Mahadeva, Anna Green, James Larkin, Charles Swanton, Mariam Jamal-Hanjani, Kevin Litchfield, Samra Turajlic. Advanced melanoma exhibits a diversity of evolutionary routes to lethality [abstract]. In: Proceedings of the AACR Special Conference on the Evolutionary Dynamics in Carcinogenesis and Response to Therapy; 2022 Mar 14-17. Philadelphia (PA): AACR; Cancer Res 2022;82(10 Suppl):Abstract nr PR002.

The 5th edition of the World Health Organisation Blue Book was published recently and includes a comprehensive update on testicular tumours. This builds upon the work of the 4th edition, retaining its structure and main nomenclature, including the use of the term ‘germ cell neoplasia in situ’ (GCNIS) for the pre‐invasive lesion of most germ cell tumours and division from those not derived from GCNIS. While there have been important developments in understanding the molecular underpinnings of testicular cancer, this updated classification paradigm and approach remains rooted in morphology. Nomenclature changes include replacement of the term ‘primitive neuroectodermal tumour’ by ‘embryonic neuroectodermal tumour’ based on the non‐specificity of the former term and to separate these tumours clearly from Ewing sarcoma. Seminoma is placed in a germinoma family of tumours emphasising relation to those tumours at other sites. Criteria for the diagnosis of ‘teratoma with somatic transformation’ have been modified to not include variable field size assessments. The word ‘carcinoid’ has been changed to ‘neuroendocrine tumour’, with most examples in the testis now classified as ‘prepubertal type testicular neuroendocrine tumour’. For sex cord‐stromal tumours, the use of mitotic counts per high‐power field has been changed to per mm2 for malignancy assessments, and the new entities, ‘signet ring stromal tumour’ and ‘myoid gonadal stromal tumour’, are defined. Well‐differentiated papillary mesothelial tumour has now been defined as tumour type with a favourable prognosis. Sertoliform cystadenoma has been removed as an entity from testicular adnexal tumours and placed with Sertoli cell tumours.

Abstract Renal cell carcinoma (RCC) occurs in a number of cancer predisposition syndromes, but the genetic architecture of susceptibility to RCC is not well defined. We investigated the frequency of pathogenic and likely pathogenic (P/LP) germline variants in cancer susceptibility genes (CSGs) within a large series of unselected RCC participants. Whole-genome sequencing data on 1336 RCC participants and 5834 controls recruited to the UK 100 000 Genomes Project, a nationwide multicentre study, was analyzed to identify rare P/LP short variants (single nucleotide variants and insertions/deletions ranging from 1 to 50 base pairs) and structural variants in 121 CSGs. Among 1336 RCC participants [mean: 61.3 years (±12 SD), range: 13–88 years; 64% male], 85 participants [6.4%; 95% CI (5.1, 7.8)] had one or more P/LP germline variant in a wider range of CSGs than previously recognized. A further 64 intragenic variants in CSGs previously associated with RCC were classified as a variant of uncertain significance (VUS) (24 ‘hot VUSs’) and were considered to be of potential clinical relevance as further evaluation might results in their reclassification. Most patients with P variants in well-established CSGs known to predispose to renal cell carcinoma (RCC-CSGs) were aged <50 years. Burden test analysis for filtered variants in CSGs demonstrated a significant excess of CHEK2 variants in European RCC participants compared with the healthy European controls (P = 0.0019). Approximately, 6% of the patients with RCC unselected for family history have a germline variant requiring additional follow-up analysis. To improve diagnostic yield, we suggest expanding the panel of RCC-CSGs tested to include CHEK2 and all SDHx subunits and raising the eligibility criteria for age-based testing.

Sequencing of cell-free DNA (cfDNA) in cancer patients' plasma offers a minimally-invasive solution to detect tumor cell genomic alterations to aid real-time clinical decision-making. The reliability of copy number detection decreases at lower cfDNA tumor fractions, limiting utility at earlier stages of the disease. To test a novel strategy for detection of allelic imbalance, we developed a prostate cancer bespoke assay, PCF_SELECT, that includes an innovative sequencing panel covering ∼25 000 high minor allele frequency SNPs and tailored analytical solutions to enable allele-informed evaluation. First, we assessed it on plasma samples from 50 advanced prostate cancer patients. We then confirmed improved detection of genomic alterations in samples with <10% tumor fractions when compared against an independent assay. Finally, we applied PCF_SELECT to serial plasma samples intensively collected from three patients previously characterized as harboring alterations involving DNA repair genes and consequently offered PARP inhibition. We identified more extensive pan-genome allelic imbalance than previously recognized in prostate cancer. We confirmed high sensitivity detection of BRCA2 allelic imbalance with decreasing tumor fractions resultant from treatment and identified complex ATM genomic states that may be incongruent with protein losses. Overall, we present a framework for sensitive detection of allele-specific copy number changes in cfDNA.

Patients with cancer have a higher risk of severe coronavirus disease (COVID-19) and associated mortality than the general population. Owing to this increased risk, patients with cancer have been prioritized for COVID-19 vaccination globally, for both primary and booster vaccinations. However, given that these patients were not included in the pivotal clinical trials, considerable uncertainty remains regarding vaccine efficacy, and the extent of humoral and cellular immune responses in these patients, as well as the risks of vaccine-related adverse events. In this Review, we summarize the current knowledge generated in studies conducted since COVID-19 vaccines first became available. We also highlight critical points that might affect vaccine efficacy in patients with cancer in the future. Vaccination against COVID-19 confers robust protection from severe disease. However, the extent to which this applies to patients with cancer remains uncertain given that these patients were excluded from most of the pivotal studies. In this Review, the authors provide an overview of the efficacy and immunogenicity of COVID-19 vaccines in patients with cancer, and discuss alternatives to vaccination for those who might be unable to develop a proficient immune response following vaccination. Vaccination against COVID-19 administered according to current prime–boost concepts is both safe and clinically effective in patients with cancer. To date, no reliable correlate of protection that allows the definite deduction of clinical efficacy from immune responses has been established, either in patients with cancer or in the general population. Patient-associated factors such as advanced age, haematological malignancy and/or treatment-associated factors such as B cell depletion might all lead to less proficient immune responses following vaccination. Future research will determine the necessity of further booster regimens as well as therapeutic options for those who do not benefit from active COVID-19 vaccination. Vaccination against COVID-19 administered according to current prime–boost concepts is both safe and clinically effective in patients with cancer. To date, no reliable correlate of protection that allows the definite deduction of clinical efficacy from immune responses has been established, either in patients with cancer or in the general population. Patient-associated factors such as advanced age, haematological malignancy and/or treatment-associated factors such as B cell depletion might all lead to less proficient immune responses following vaccination. Future research will determine the necessity of further booster regimens as well as therapeutic options for those who do not benefit from active COVID-19 vaccination.

In solid tumor oncology, circulating tumor DNA (ctDNA) is poised to transform care through accurate assessment of minimal residual disease (MRD) and therapeutic response monitoring. To overcome the sparsity of ctDNA fragments in low tumor fraction (TF) settings and increase MRD sensitivity, we previously leveraged genome-wide mutational integration through plasma whole genome sequencing (WGS). We now introduce MRD-EDGE, a composite machine learning-guided WGS ctDNA single nucleotide variant (SNV) and copy number variant (CNV) detection platform designed to increase signal enrichment. MRD-EDGE uses deep learning and a ctDNA-specific feature space to increase SNV signal to noise enrichment in WGS by 300X compared to our previous noise suppression platform MRDetect. MRD-EDGE also reduces the degree of aneuploidy needed for ultrasensitive CNV detection through WGS from 1Gb to 200Mb, thereby expanding its applicability to a wider range of solid tumors. We harness the improved performance to track changes in tumor burden in response to neoadjuvant immunotherapy in non-small cell lung cancer and demonstrate ctDNA shedding in precancerous colorectal adenomas. Finally, the radical signal to noise enrichment in MRD-EDGE enables de novo mutation calling in melanoma without matched tumor, yielding clinically informative TF monitoring for patients on immune checkpoint inhibition.

Genetic intra-tumour heterogeneity fuels clonal evolution, but our understanding of clinically relevant clonal dynamics remain limited. We investigated spatial and temporal features of clonal diversification in clear cell renal cell carcinoma through a combination of modelling and real tumour analysis. We observe that the mode of tumour growth, surface or volume, impacts the extent of subclonal diversification, enabling interpretation of clonal diversity in patient tumours. Specific patterns of proliferation and necrosis explain clonal expansion and emergence of parallel evolution and microdiversity in tumours. In silico time-course studies reveal the appearance of budding structures before detectable subclonal diversification. Intriguingly, we observe radiological evidence of budding structures in early-stage clear cell renal cell carcinoma, indicating that future clonal evolution may be predictable from imaging. Our findings offer a window into the temporal and spatial features of clinically relevant clonal evolution. A combined modelling and tumour analysis approach is used to study the temporal and spatial patterns of subclone evolution in the TRACERx renal study. Studying the tumour shape and spatial features of clonal diversity in early-stage tumours may allow the prediction of tumour progression and patterns of subclone diversification over time.

Not all patients with cancer, in particular those with hematogic malignancies, develop functional immunity against SARS-CoV-2 variants of concern (VOC) following COVID-19 vaccines. Durability of vaccine-induced immunity after two doses and the impact of a third dose were evaluated in CAPTURE (NCT03226886), a longitudinal prospective cohort study of vaccine responses in patients with cancer. In evaluating 316 patients, at a median of 111 days following two doses of either BNT16b2 or ChadOX, we observed a time-dependant decline in neutralising antibody titres (NAbT) in a proportion of patients, where NAbTs became undetectable against Delta and Beta in 17% and 15% of patients, respectively. Vaccine-induced T cell responses declined in 44% of patients. Patients with breakthrough infections following two vaccines doses were characterised by absent/low NAbT to Delta prior to infection. Administration of the third vaccine dose boosted NAb responses against VOC in the majority of patients with cancer, especially those with solid cancer. In patients with hematologic malignancies who had undetectable NAbT against Delta after two vaccine doses, 54% did not develop NAb against both Beta and Delta following the third dose. Third vaccine dose boosted T cell responses were boosted in patients with both solid and hematologic malignancies. These results provide critical information on vaccine responses in patients with cancer, especially against VOCs and support widespread access to a third COVID-19 vaccination in this patient group.