Whole-exome & whole-genome sequencing
Reading all the genes (exome) or the entire DNA (genome) of a tumour, rather than a chosen panel.
WGS reveals structural variants, mutational signatures (HRD, APOBEC, tobacco), whole-genome doubling, and non-coding drivers. Used by national programmes (Genomics England, Hartwig) and for neoantigen prediction in personalised vaccines. Long-read sequencing (PacBio, Oxford Nanopore) resolves complex rearrangements and methylation in one run.
How it works
Shotgun sequencing of the whole genome (or exon-captured fraction) at 30-100x depth, tumour-normal paired.
- Unbiased
- Signatures and structural variants
- Cost, data volume, interpretation
- Lower depth than panels for subclonal variants
For the first time a randomised trial suggests that a vaccine tailored to an individual's tumour can reduce relapse when combined with immunotherapy, which is a proof of concept for a field that had failed for decades. Nothing changes for patients yet: the trial was small, the confidence interval crossed one, and the phase 3 trial in melanoma (and parallel trials in lung and other cancers) must confirm it. If it does, personalised mRNA vaccines could become a routine adjunct to checkpoint inhibitors after surgery.
Relapse after surgery is driven by particular subclones that can be identified in the primary tumour and tracked in blood, which argues for evolution-aware adjuvant strategies. The pollution finding reframes carcinogenesis: some agents promote already-mutant cells rather than causing mutations.
Cancers are defined as much by the tissue they come from as by the mutations they carry, which is why the same drug can work in one organ and fail in another with the same mutation. TCGA is the shared public dataset behind most modern biomarkers and target discovery.
Lung cancers keep evolving after they form, and it is ongoing chromosomal instability rather than the number of mutations that best predicts who will relapse. This gives a rationale for targeting the earliest (clonal) drivers and neoantigens and for tracking evolution in blood after surgery.
Carrying a cancer mutation is normal; most mutant clones never become cancer. This means blood or tissue tests that look for driver mutations alone will produce false positives, and that the question of what tips a mutant clone into cancer (tissue environment, further hits, immune surveillance) is as important as the mutation itself.
Many older people carry blood clones one or two steps from leukaemia, and those clones also drive heart disease through inflammation. CHIP is why blood-based cancer tests must filter out mutations from blood cells, and it opens a route to preventing both leukaemia and cardiovascular events in carriers.
There are not thousands of cancer genes, and any one patient's tumour is driven by only a few of them. That makes targeted sequencing panels sensible, but because most drivers are lost tumour suppressors, drugs exist for only a minority, which is why the same group turned to early detection.
A single biopsy is an incomplete picture of a patient's cancer. Truncal mutations shared by all cells (in kidney cancer, VHL) are the most reliable drug targets, whereas mutations in only some branches predict resistance. This is why liquid biopsy and multi-region sampling matter.
Latest papers
topQuery for this technology: (TITLE:"whole-genome sequencing" OR ABSTRACT:"whole-genome sequencing" OR TITLE:"whole genome sequencing" OR ABSTRACT:"whole genome sequencing" OR TITLE:"whole-exome sequencing" OR ABSTRACT:"whole-exome sequencing") AND (cancer OR tumor OR tumour OR oncology OR carcinoma OR lymphoma OR leukemia OR leukaemia OR myeloma OR sarcoma OR melanoma OR glioma). Results are unfiltered search hits about Whole-exome & whole-genome sequencing, not a curated reading list.
Pages like this
not linked directly; found by shared links- TechnologyRNA sequencing & expression profiling
Shares Shizuoka Cancer Center, Multiple Myeloma Research Foundation (MMRF), BC Cancer, EMBL's European Bioinformatics Institute.
- TechnologyComprehensive genomic profiling
Shares Caris Life Sciences, Valius Sciences, Stefan Fröhling, Illumina.
- InstitutionCancer Research UK
Shares Pool every multi-sample tumour genome into one open evolution atlas, A national rapid research autopsy network for end-stage cancer, Wellcome, Bank three spatially separate tumour blocks from every resection.
- BottleneckData silos
Shares Pool every multi-sample tumour genome into one open evolution atlas, Ontario Institute for Cancer Research, Link every national cancer registry to tumour genomics, Wellcome.
- TechnologyLiquid biopsy (ctDNA)
Shares Valius Sciences, Personalis (Tempus), New short-read sequencing platforms, Attack extrachromosomal DNA, the engine of oncogene amplification.
- TechnologySingle-cell & spatial profiling
Shares Valius Sciences, A national rapid research autopsy network for end-stage cancer, Wellcome, Garvan Institute of Medical Research / Kinghorn Cancer Centre.
- TermVariant allele frequency (VAF)
Shares Martincorena: normal sun-exposed skin is a patchwork of cancer-mutation clones, Push residual disease detection a hundredfold deeper with whole-genome methods, Gerlinger: a single biopsy misses most of the mutations in a kidney tumour, Jaiswal: clonal haematopoiesis, the pre-leukaemic clones in most people over 70.
- InstitutionBroad Institute of MIT and Harvard
Shares Gad Getz, Pool every multi-sample tumour genome into one open evolution atlas, Let patients themselves donate their records and samples for ultra-rare cancers, Jaiswal: clonal haematopoiesis, the pre-leukaemic clones in most people over 70.