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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.

Schematic · not to scale
Whole genome / exome · Signatures, structural variants

How it works

Shotgun sequencing of the whole genome (or exon-captured fraction) at 30-100x depth, tumour-normal paired.

Strengths
  • Unbiased
  • Signatures and structural variants
Limitations
  • Cost, data volume, interpretation
  • Lower depth than panels for subclonal variants

Key papers

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rctThe Lancet 2024
KEYNOTE-942: a personalised mRNA cancer vaccine plus pembrolizumab after melanoma surgery

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.

translationalNature 2023
TRACERx 421: the full-cohort picture of how lung cancer evolves and which subclones drive relapse

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.

basicCell 2018
TCGA Pan-Cancer Atlas: 10,000 tumours across 33 cancer types, classified by molecular features

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.

translationalNew England Journal of Medicine 2017
TRACERx first 100: tracking how lung cancers evolve, and how chromosomal chaos predicts relapse

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.

basicScience 2015
Martincorena: normal sun-exposed skin is a patchwork of cancer-mutation clones

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.

observationalNew England Journal of Medicine 2014
Jaiswal: clonal haematopoiesis, the pre-leukaemic clones in most people over 70

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.

reviewScience 2013
Cancer genome landscapes: about 140 driver genes, and each tumour needs only a handful

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.

translationalNew England Journal of Medicine 2012
Gerlinger: a single biopsy misses most of the mutations in a kidney tumour

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

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Literature trend2,939 papers in the last 12 months+13% vs prior 12How this is computed
Latest papers · live from Europe PMC
Open in Europe PMC

Query 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.

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