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Time-___domain cavity solitons could be a promising candidate for creating all-optical buffers integrated with pulse reshapers and wavelength converters. Stéphane Coen spoke with Nature Photonics about the generation of these solitons and their potential applications in telecommunications.

Here, the authors perform large trans-ancestry fine-mapping analyses identifying large numbers of association signals and putative target genes for colorectal cancer risk, advancing our understanding of the genetic and biological basis of this cancer.

Stéphane Coen and Miro Erkintalo from the University of Auckland in New Zealand talk to Nature Photonics about their surprising findings regarding a weak long-range interaction they serendipitously stumbled upon while researching temporal cavity solitons.

Whole-genome sequencing, transcriptome-wide association and fine-mapping analyses in over 7,000 individuals with critical COVID-19 are used to identify 16 independent variants that are associated with severe illness in COVID-19.

Bosonic qubits can be engineered to feature intrinsic protection against certain kinds of errors, which makes quantum error correction across many bosonic qubits possible with less overhead.

Most genetic studies have been done on European cohorts, which affects the efficacy of polygenic risk scores in non-European populations. Here, the authors demonstrate that a colorectal cancer PRS including Asian and European ancestries has improved performance over the European-centric PRS across racial and ethnic groups.

The study of dissipative solitons is not only increasing our understanding of nonlinear systems but may also help develop high-performance short-pulse lasers and devices for optical information processing.

A multi-ancestry genome-wide association study meta-analysis, combined with transcriptome- and methylome-wide association analyses, identifies risk loci associated with colorectal cancer. Credible effector genes and their target tissues are also highlighted, showing that over a third probably act outside the colonic mucosa.

Immune lymphocyte estimation from nucleotide sequencing (ImmuneLENS) infers B cell and T cell fractions from whole-genome sequencing data. Applied to the 100,000 Genomes Project datasets, circulating T cell fraction provides sex-dependent and prognostic insights in patients.

Swanton and colleagues present a clonal expression signature, ORACLE, which, in combination with clinicopathological and molecular risk factors, can predict survival of patients with lung adenocarcinoma, and they prospectively validate its prognostic value.

Major histocompatibility complex (MHC) loss of heterozygosity, allele-specific mutation and measurement of expression and repression (MHC Hammer) detects disruption to human leukocyte antigens due to mutations, loss of heterogeneity, altered gene expression or alternative splicing. Applied to lung and breast cancer datasets, the tool shows that these aberrations are common across cancer and can have clinical implications.

Circulating tumour DNA profiling in early-stage non-small-cell lung cancer can be used to track single-nucleotide variants in plasma to predict lung cancer relapse and identify tumour subclones involved in the metastatic process.

In the TRACERx cohort of 171 patients with lung cancer, the ultrasensitive detection of ctDNA improves preoperative patient stratification, also in early-stage disease.

Two doses of the coronavirus disease 2019 vaccine ChAdOx1 nCoV-19 boost antibody responses and functions in phase 1/2 trial participants.

Mixed responses to targeted therapy within a patient are a clinical challenge. Here the authors show that TP53 loss-of-function cooperates with whole genome doubling which increases chromosomal instability. This leads to greater cellular diversity and multiple routes of resistance, which in turn promotes mixed responses to treatment.

Optical gain in a dielectric compensates for absorption losses in metallic nanoparticles

Combination of epidemiology, preclinical models and ultradeep DNA profiling of clinical cohorts unpicks the inflammatory mechanism by which air pollution promotes lung cancer

Openshaw and colleagues find myeloid inflammation and complement activation signatures in patients with long COVID who were previously hospitalized.

The advantage of living in cities compared with rural areas with respect to height and BMI in children and adolescents has generally become smaller globally from 1990 to 2020, except in sub-Saharan Africa.

The burden of chemotherapy-associated toxicity is well recognized, but we have relatively few tools that increase the precision of anticancer drug prescribing. This article proposes that broader agnostic analyses to systematically correlate germline genetic variants with adverse events in large, well-defined cancer populations might improve the current situation.

Analyses of multiregional tumour samples from 421 patients with non-small cell lung cancer prospectively enrolled to the TRACERx study reveal determinants of tumour evolution and relationships between intratumour heterogeneity and clinical outcome.

Analysis of colorectal cancer bulk gene expression data at the pathway level identifies a poor-prognosis subtype associated with cell differentiation. The subtypes are reproducible in single-cell data and offer biological insights beyond existing stratification strategies.

The use of adjuvant chemotherapy for stage III colorectal cancer is well established, but the use of this approach in patients with stage II colon cancer is more controversial. Midgley and Kerr highlight data from the QUASAR 1 trial, which provide compelling evidence for the use of adjuvant chemotherapy. The use of combination therapeutic options, the rationale for considering morphologic or molecular features to select and individualize therapy, and the crucial question of which patients would benefit most from adjuvant chemotherapy, are discussed.

Patient-derived xenografts are important tools for cancer drug development. Here, the authors develop models from 22 non-small cell lung cancer patients. They show genomic differences between models created from different spatial regions of tumours and a bottleneck on model establishment.

In colorectal cancer (CRC), finding loci associated with risk may give insight into disease aetiology. Here, the authors report a genome-wide association analysis in Europeans of 34,627 CRC cases and 71,379 controls, and find 31 new risk loci and 17 new risk SNPs at previously reported loci.

The US COVID-19 Scenario Modeling Hub produced medium to long term projections based on different epidemic scenarios. In this study, the authors evaluate 14 rounds of projections by comparing them to the epidemic trajectories that occurred, and discuss lessons learned for future similar projects.

Analyses of in vivo models, cell lines and patient-derived samples show that apolipoprotein B mRNA-editing catalytic subunit 3B (APOBEC3B) not only restrains lung tumor initiation but also that its upregulation is associated with resistance to targeted therapies. This study highlights the complex and context-dependent role of APOBEC3B in lung cancer.

Computational and machine-learning approaches that integrate genomic and transcriptomic variation from paired primary and metastatic non-small cell lung cancer samples from the TRACERx cohort reveal the role of transcriptional events in tumour evolution.

Nathalie Picqué, the new director at the Max Born Institute for Nonlinear Optics and Short Pulse Spectroscopy (MBI) in Berlin, Germany, tells us all we need to know about frequency combs and dual-comb spectroscopy, and shares with us some golden tips on becoming a successful scientist.

RNA sequencing data and tumour pathology observations of non-small-cell lung cancers indicate that the immune cell microenvironment exerts strong evolutionary selection pressures that shape the immune-evasion capacity of tumours.

Mordechai (Moti) Segev spoke with Nature Photonics about the fascinating topic of photonic time crystals — materials with a refractive index that is periodically modulated in time on ultrafast timescales — and their inspiring future ahead.

A longitudinal evolutionary analysis of 126 lung cancer patients with metastatic disease reveals the timing of metastatic divergence, modes of dissemination and the genomic events subject to selection during the metastatic transition.

Analyses of the TRACERx study unveil the relationship between tissue morphology, the underlying evolutionary genomic landscape, and clinical and anatomical relapse risk of lung adenocarcinomas.

Yuan and colleagues developed an artificial intelligence-based method to derive growth patterns and morphological features from hematoxylin and eosin-stained slides of lung adenocarcinoma samples, for improved tumor grading and patient prognostication.

Results of the TRACERx study shed new light into the association between body composition and body weight with survival in individuals with non-small cell lung cancer, and delineate potential biological processes and mediators contributing to the development of cancer-associated cachexia.

Analysis of HbA1c and FPG levels across 117 population-based studies demonstrates regional variation in prevalence of previously undiagnosed screen-detected diabetes using one or both measures and suggests that use of elevated FPG alone could underestimate diabetes prevalence in low- and middle-income countries.

While organic agriculture has been found to outperform conventional methods on multiple sustainability measures, this Article examines the effects of farm size on agroecological practices and finds that as organic farms get larger, they exhibit more conventional traits.

It remains critical to identify colorectal cancers (CRC) that will disseminate as early as possible. Here, the authors identify CRC tumours that are aggressive and prone to early dissemination, characterised by epithelial TGFβ and growth-factor signalling - which could be targeted with MEK/EGFR inhibitors.

A robust, cost-effective technique based on whole-exome sequencing data can be used to characterize immune infiltrates, relate the extent of these infiltrates to somatic changes in tumours, and enables prediction of tumour responses to immune checkpoint inhibition therapy.