Publication highlights

Go inside our research

Explore a selection of research case studies from the past five years.

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A Crick researcher reading a scientific paper on a screen.

Intro

Researchers at the Crick are tackling the big questions about human health and disease, and new findings are published every week.

Our faculty have picked some of the most significant papers published by Crick scientists, all of which are freely available thanks to our open science policy.

Highlights

Giant cancer cells in sarcomas

Giant cancer cell dynamics in sarcomas

Researchers at the Crick examined unusually large and abnormal cells called polyploid giant cancer cells (PGCCs) in ten pleomorphic sarcomas, types of soft-tissue cancers known to be highly aggressive and genetically complex. Using advanced single-cell DNA sequencing, they analysed the genetic material of individual PGCCs to see how they differ from the rest of the tumour. They found that PGCCs were scattered randomly rather than forming groups in the tumour, suggesting that they arise spontaneously. They appeared to come from the main tumour cell population but had more genetic variation and many had signs of chromosomal instability. Chromothripis, where chromosomes shatter and reassemble in a chaotic pattern, was frequently seen in PGCCs. This ongoing genomic reshaping may explain why pleomorphic sarcomas often behave aggressively and are difficult to treat.

Profiling the genomic landscape and evolutionary history of polyploid giant cancer cells in undifferentiated pleomorphic sarcomas

Published in Cancer Letters

Published

Knitting with a thread pulled out - epigenetic changes

How epigenetics fuels genetic drivers in lung cancer

In this study, researchers at the Crick and UCL investigated how an epigenetic change called DNA methylation cooperates with genetic changes in non-small cell lung cancer (NSCLC) using 217 tumour and normal regions from 59 TRACERx patients. This is the first multiregional lung cancer cohort integrating genomic, transcriptomic, and epigenomic data to map tumour evolution in such detail. They uncovered a novel mechanism, where DNA methylation fine-tunes how oncogenes are switched on together by compacting the DNA. We also identified hypermethylated driver genes emerging early in tumour evolution and developed a new metric, Mr/Mn, to distinguish functional from passenger methylation changes. Our work highlights epigenetic drivers with therapeutic potential.

DNA methylation cooperates with genomic alterations during non-small cell lung cancer evolution

Published in Nature Genetics

Published

Lung cancer cells

Differences in immune evasion within the same tumour

In a joint effort from the Francis Crick Institute, UCL and the Netherlands Cancer Institute, researchers have demonstrated that lung cancers consist of different subclones that differ intrinsically in their capacity to evade immune attack. Cancers are genetically heterogeneous – consisting of different subclones – but to what extent this affects immune evasion remained largely unclear. Now, using samples from the TRACERx cancer evolution study, the team have established organoids – mini-tumours growing in 3D - from different regions from the same tumour, and further separated these into individual subclones. Challenging these with immune cells from the patient’s tumour showed that different subclones isolated from the same tumour differ profoundly in their ability to trigger an immune response. This provides direct functional evidence that subclonal cancer evolution has important consequences for the ability to evade immune attack.

Subclonal immune evasion in non-small cell lung cancer

Published in Cancer Cell

Published

Vial with blood being pipetted with empty vials

Tumour DNA in the blood can predict lung cancer outcome

Scientists from the Crick, UCL, UCLH and Personalis have found that a test to detect circulating tumour DNA can predict lung cancer outcome in a Cancer Research UK-funded study. The researchers tested a platform called NeXT Personal, which can detect very small amounts – 1 part per million – of ctDNA (fragments of DNA released into the blood by tumours). They applied the platform to blood plasma samples from 171 people with early-stage lung cancer in the TRACERx cohort, finding that people with a low level of ctDNA before surgery were less likely to relapse and had improved overall survival rates than people with a high level of ctDNA. The high sensitivity of the test meant that smaller amounts of ctDNA could be detected, which prevented people with a lower amount of ctDNA from being incorrectly labelled ctDNA negative.

Ultrasensitive ctDNA detection for preoperative disease stratification in early-stage lung adenocarcinoma

Published in Nature Medicine

Published

Tumour cells

Lung cancer test predicts survival in early stages better than current methods

Researchers at the Crick, the UCL Cancer Institute and UCLH have shown that a test called ORACLE can predict lung cancer survival at the point of diagnosis better than currently used clinical risk factors. This could help doctors make more informed treatment decisions for people with stage 1 lung cancer, potentially reducing the risk of the cancer returning or spreading. ORACLE was developed in 2019 to overcome the lack of biological markers in lung cancer, which is important for people with stage 1 lung cancer, who are normally given surgery without chemotherapy. In this study ORACLE was validated in 158 people with lung cancer in the Cancer Research UK-funded TRACERx study. The team found that ORACLE could predict which patients with stage 1 lung cancer had a lower chance of survival, and might benefit from chemotherapy as well as surgery. The researchers also found that high ORACLE risk scores were linked to regions of the tumour that were more likely to spread to another part of the body.

Prospective validation of ORACLE, a clonal expression biomarker associated with survival of patients with lung adenocarcinoma

Published in Nature Cancer

Published

Chromosomes in blue and yellow

New tool reveals how breast and lung tumours avoid immune detection

Researchers in the Cancer Evolution and Genome Instability Laboratory at the Crick and at UCL have developed a tool, MHC Hammer, to study genetic mutations and transcriptional alterations in HLA genes that help cancer cells evade the immune system. HLA molecules present "neoantigens" that signal the immune system to attack. Mutations and transcriptional alterations in these genes can prevent neoantigen presentation by disrupting the HLA molecule, allowing cancer cells to hide. The tool identified four types of HLA disruption in lung and breast cancer that could result in fewer neoantigens on tumour cells. One type - loss of one copy of an HLA gene - was associated with metastasis. Epigenetic changes, like increased methylation, may also reduce HLA expression in cancer cells.

MHC Hammer reveals genetic and non-genetic HLA disruption in cancer evolution

Published in Nature Genetics

Published

Lung cancer cell.

Why many lung cancer patients who have never smoked have worse outcomes

Researchers at the Francis Crick Institute, UCL and AstraZeneca have discovered the reason why targeted treatment for non-small cell lung cancer fails to work for some patients, particularly those who have never smoked. The study shows that lung cancer cells with two particular genetic mutations are more likely to double their genome, which helps them to withstand treatment and develop resistance to it. The researchers re-analysed data from the trials of a new EGFR inhibitor, which blocks a common genetic mutation in this type of lung cancer. They compared the impact of treatment for patients with either EGFR-only or with EGFR and p53 mutations, finding that tumours got smaller in response to treatment for patients with just EGFR mutations. But for patients with both mutations, some tumours had grown, providing evidence of rapid drug resistance. This was confirmed in mice with both mutations - resistant cells had doubled their genomes.

Mixed responses to targeted therapy driven by chromosomal instability through p53 dysfunction and genome doubling

Published in Nature Communications

Published

Tumour tissue

Limitations of laboratory models to represent patient lung tumours

An important aspect of cancer research is the model systems that researchers use to test new therapies. Within the TRACERx lung cancer study, researchers from the CRUK Lung Cancer Centre of Excellence have performed a direct comparison of patient tumours and a commonly used laboratory model - ‘patient-derived xenograft’ or ‘PDX’ models - in which patient tumour tissue isgrown within immunocompromised mice.

The researchers found that patient tumours are often genetically complex, with many co-existing subclones (groups of cell populations with different characteristics). However, the PDX models often only represented one of these subclones. This over-simplicity of PDX models might limit their ability to predict patient responses. These findings will shape the future use of PDX models in lung cancer research and clinical studies.

Representation of genomic intratumor heterogeneity in multi-region non-small cell lung cancer patient-derived xenograft models

Published in Nature Communications

Published

Phylogenetic ctDNA analysis depicts early-stage lung cancer evolution

This TRACERx work shows that bespoke patient-specific panels to analyse ctDNA can be used to monitor MRD recurrence and tumour branched evolution in the adjuvant setting in the absence of macroscopic disease, and that tumour Ki67 index, necrosis, squamous histology and FDG-PET avidity are closely associated with ctDNA release. We further demonstrate the limitations of ctDNA approaches for early detection as a function of tumour volume and cancer cell number, and show that the subclone identified in ctDNA prior to disease recurrence is identical to the tumour subclone identified at metastatic sites, permitting adjuvant MRD studies to prevent recurrence.

View the publication

Published in Nature

Published

Tracking the evolution of non-small-cell lung cancer

This work evaluates the relationship between intratumour heterogeneity of single nucleotide variants and somatic copy number aberrations and recurrence free survival in non-small cell lung cancer. Diversity of chromosome number or structure rather than single nucleotide variants is associated with poorer recurrence free survival, independent of tumour stage in multivariable analyses. Through subclonal copy number analyses, mirrored subclonal allelic imbalance is found, driving parallel evolution of chromosome copy number gains or losses on either the maternal or paternal chromosome in different regions of the same tumour.

View the publication

Published in New England Journal of Medicine

Published

Allele-specific HLA loss and immune escape in lung cancer evolution

Through an analysis of TRACERx, extended from our haplotyping analysis, we developed an algorithm called LOHHLA which infers allele specific copy number aberrations in HLA. We find HLA loss occurs in 40% of early stage lung cancers, usually as a subclonal event, and is permissive for branched evolution associated with expansion of mutations predicted to bind the lost HLA allele.

View the publication

Published in Cell

Published

Neoantigen-directed immune escape in lung cancer evolution

We analysed the first 100 TRACERx patients to unravel how escape from adaptive immunity occurs in non-small cell lung cancer. Immune ‘hot’ tumours, characterised by a brisk lymphoid infiltrate, had been selected for HLA LOH or deleterious mutations in the antigen presentation machinery. In contrast immune ‘cold’ tumours with an absent lymphoid infiltrate had lost clonal neoantigens through DNA copy number loss events. We found evidence for negative selection of subclones early in tumour evolution harbouring neoantigens in genes essential for non-small cell lung cancer viability. Patient outcome was worse for tumours with evidence of an immune evasion event.

View the publication

Published in Nature

Published

Lung cancer cell.

Meta-analysis of tumor- and T cell-intrinsic mechanisms of sensitization to checkpoint inhibition

A new study from the Swanton lab identified genetic changes in tumours which could be used to predict if immunotherapy drugs would be effective in individual patients.

View the publication

Published in Cell

Published

Deterministic evolutionary trajectories influence primary tumor growth: TRACERx Renal

This is the largest genomic study ever to be conducted in renal cell cancer and the first to show how evolutionary features of the tumour impact the clinical phenotype. Patent arising.

View the publication

Published in Cell

Published

Credit Alex Cagan. Cartoon of Peter Van Loo.

The evolutionary history of 2,658 cancers

This study leverages molecular archaeology of cancer approaches in a large-scale pan-cancer setting to construct timelines of tumour evolution, showing when in a tumour’s evolutionary history key events typically happen. It demonstrates that tumours typically develop over multiple years to sometimes decades, highlighting opportunities for early detection.

View the publication

Published in Nature

Published

Cancer cells.

'Patchwork' tumours across multiple cancers

Research led by Peter Van Loo, as part of the Pan-Cancer Analysis of Whole Genomes Consortium, has analysed the whole genomes of tumour samples from over 2,600 patients with different types of cancer. They identified a high prevalence of genetic diversity within individual tumours, which they further characterised.

Characterizing genetic intra-tumor heterogeneity across 2,658 human cancer genomes

Published in Cell

Published