Cancer GPS?

The thing that pretty well everyone knows about cancers is that most are furtive little blighters. They kill one in three of us but usually we don’t they’re there until they are big enough to make something go wrong in the body or to show up in our seriously inadequate screening methods. In that sense they resemble heart problems of one sort or another, where often the first indication of trouble is unexpectedly finding yourself lying on the floor.

Meanwhile, out on the highways and byways you are about 75 times less likely to be killed in an accident than you are to succumb to either cancers or circulation failure. Which is a way of saying that in the UK about 2000 of us perish on the roads each year. That it’s ‘only’ 2000 is presumably because here your assailant is anything but furtive. All you’ve got to do is side-step the juggernaut and you’ll probably live to be – well, old enough to get cancer.

Did you know, by the way, that ‘juggernaut’ is said to come from the chariots of the Jagannath Temple in Puri on the east coast of India. These are vast contraptions used to carry representations of Hindu gods on annual festival days that look as though walking pace would be too much for them. So, replace the monsters on our roads with real juggernauts! Problem largely solved!!

Flagging cancer

But to get back to cancer or, more precisely, the difficulty of seeing it. After centuries of failing to make any inroads, recent dramatic advances give hope that all is about to change. These rely on the fact that tissues shed cells – and with them DNA – into the circulation. Tumours do this too – so in effect they are scattering clues to their existence into blood. By using short stretches of artificial DNA as bait, it’s possible to fish out tumour cell DNA from a few drops of blood. That’s a pretty neat trick in itself, given we’re talking about fewer than 100 tumour cells in a sea of several billion other cells in every cubic millimeter of blood.

There are two big attractions in this ‘microfluidics’ approach. First it’s almost ‘non-invasive’ in needing only a small blood sample and, second, it is possible that indicators may be picked up long before a tumour would otherwise show up. In effect it’s taking a biochemical magnifying glass to our body to ask if there’s anything there that wouldn’t normally be present. Detect a marker and you know there’s a tumour somewhere in the body, and if the marker changes in concentration in response to a treatment, you have a monitor for how well that treatment is doing. So far, so good.

And the problem?

These ‘liquid biopsy’ methods that use just a teaspoonful of blood have been under development for several years but there has been one big cloud hanging over them. They appear to be exquisitely sensitive in detecting the presence of a cancer – by sequencing the DNA picked up – but they have not been able to pinpoint the tissue of origin. Until now.

Step forward epigenetics

Shuli Kang and colleagues at the University of California at Los Angeles and the University of Southern California have broken this impasse by turning to epigenetics. We noted in Twenty More Winks that an epigenetic modification is any change in DNA, other than in the sequence of bases (i.e. mutation), that affects how an organism develops or functions. They’re brought about by tacking small chemical groups (commonly methyl (CH3) groups) either on to some of the bases in DNA itself or on to the proteins (histones) that act like cotton reels around which DNA wraps itself. The upshot is small changes in the structure of DNA that affect gene expression. You can think of DNA methylation as a series of flags dotted along the DNA strand, decorating it in a seemingly random pattern. It isn’t random, of course, and the target for methylation is a cytosine nucleotide (C) followed by a guanine (G) in the linear DNA sequence – called a CpG site because G and C are separated by one phosphate (p). Phosphate links nucleosides together in the backbone of DNA.

Cancer cells often display abnormal DNA methylation patterns – excess methylation (hypermethylation) in some regions, reduced methylation in others – that contributes to their peculiar behavior. It’s possible to determine the methylation profile of a DNA sample (by a method called bisulfite sequencing).

Kang & Co. developed a computer program to analyse methylation profiles from solid tumours and healthy samples in public databases and compare them to patient DNA of unknown tissue origin.

The peaks represent CpG clusters that characterize normal cells (top) and a variety of cancers. The key point is that the different patterns identify the tissue of origin (from Kang, S. et al., 2017).

The program’s called CancerLocator and in this initial study it was used to test samples from patients with lung, liver or breast cancer. In the modest words of the authors, CancerLocator ‘vastly outperforms’ previous methods – mind you, they struggle to even to distinguish most cancer samples from non-cancer samples. Nevertheless, CancerLocator’s a big step forward, not least because it can detect early stage cancers with 80% accuracy.

It’s also reasonable to expect major improvements as methylation sequencing becomes more extensive and higher resolution reveals more subtle signatures. What’s more, in principle, it should be able to detect all types of cancers – meaning that, after all so many centuries we may at last have a way of side-stepping the juggernaut.

References

Kang, S. et al. (2017). CancerLocator: non-invasive cancer diagnosis and tissue-of-origin prediction using methylation profiles of cell-free DNA. Genome Biology DOI 10.1186/s13059-017-1191-5.

The answer to … everything is …

42, as all fans of Douglas Adams and The Hitchhiker’s Guide to the Galaxy will instantly tell you. In the years before he produced his best-seller, a chance contact with Footlights had drawn me into spending many merry evenings with Douglas in The Baron of Beef public house, more or less opposite St John’s College, where he was studying – sporadically, he would doubtless have said – English.

Had a piece of work that’s just come out in The British Medical Journal been published 40-odd years earlier I suspect I would have mentioned it at one of those gatherings – early on before rational thought took alcohol-fuelled flight. It’s interesting because it says we can put off dying from the things that kill most of us (heart failure and cancer) by what Jason Gill, Carlos Celis-Morales and their pals in the University of Glasgow call ‘active commuting’. By that they mean cycling to work is good. Physical inactivity (e.g., spending happy evenings in the pub) is bad.

Had I mentioned it, rather than coming up with an entirely whimsical response to the “ultimate question of life”, Douglas would have spotted that the key to hanging on to life is “on your bike”. Just think: if Jason & Chums had got a move on, history would have been changed. Pondering all their evidence over several pints of The Baron’s best, it’s hard to imagine Douglas coming up with any title other than The Biker’s Guide to the Galaxy.

But hang on: isn’t this just another pretty useless survey?

Maybe – but for several reasons it’s hard to write it off.

First, there have been quite a few studies over the years showing that cycling is good for you.

Second, this is one was huge – so more likely to be meaningful. Using the UK Biobank data it looked for links between death and the way in which more than a quarter of a million people got to work.

Third, and the thing that really caught my eye: the key finding stuck out like the proverbial sore thumb. Usually in surveys of things that might affect our health any trends are difficult to spot: eating X makes you live 10% longer or be 5% less likely to get Y … bla, bla, bla. But here you didn’t need to peer: cycling (a ‘long distance’) to work makes you 40% less likely to die – from anything!

Below is just one bit of their data: I’ve re-drawn it with the cycling result in red but it hardly needs that to highlight the difference between it, walking (blues) and the ‘non-actives’ (green: car or public transport). It’s true, a bit of biking can help (orange: mixed mode cycling) but the really clear benefit comes from cycling (lots) – though they don’t actually say how many miles per day counts as ‘long-distance cycling.’ Modes of transport and distances were self-reported and the latter just divided into ‘long’ and ‘short’.

How you get to work impacts your life expectancy. The figure shows the risk of death from all causes as hazard ratios (ratio of the hazard rates of death): the reference (hazard ratio 1) is travel by car or public transport (green). (From Celis-Morales, C. et al., 2017).

So what of heart failure and cancer?

Perhaps not surprisingly then, commuting by cycling was also associated with a markedly lower risk both of getting heart disease or cancer and of dying therefrom. To give one specific figure: cycling to work lowers the chance of developing cancer by 45%.

It can’t be the lycra

These are horrible studies to undertake, partly because they rely on human beings telling the truth but also because of what are called ‘confounding factors.’ For example, if someone plays a lot of sport and eats sensibly, you might guess they’d be relatively healthy, regardless of how they get to work. Conversely for smoking. However, Celis-Morales & Co did their best to allow for such things and therefore to come up with results that mean something.

But, if you take their findings at face value there remains a key question that the authors do not mention: what is it about biking that’s such a life-saver (assuming you don’t get knocked-off and squashed)? It’s a real puzzle because walking is generally held to be very good for you whilst cycling is the most energy-efficient means of transport devised by man. Both activities use nearly all of your muscles, albeit that biking really works out your glutes and quadriceps, but because bikes are so efficient you use less energy.

Counting the calories

You can do the sums – i.e. work out how many calories used walking, running or cycling on Wolfram Alfra. It’s just confirmed that my daily bike commute does indeed use about half the number of calories required for the same walk.

If you take your commute as training you would suppose that expending more energy (i.e. walking rather than biking) would strengthen your heart and cardiovascular system – and indeed this study shows commuters who did more than 6 miles a week at ‘typical walking pace of three miles an hour’ slightly lowered their risk of cardiovascular disease. But cycling was far more beneficial.

As to cancer, beyond the simplistic notion that fitness = strengthening your immune system and hence capacity resist abnormal cell growth, it’s hard to see a mechanism for biking being so much better than anything else.

So, never mind the science …

Away with Ford Prefect and latter-day variants, automotive  or otherwise! On your bike!! And if you can do it with a friend on a tandem, so much the better!!! Though if you’re going to do it à deux, it might be worth recalling that the Jatravartids had the wisdom to invent the aerosol deodorant before the wheel.

Reference

Celis-Morales, C. et al. (2017). Association between active commuting and incident cardiovascular disease, cancer, and mortality: prospective cohort study. British Medical Journal 357 doi: https://doi.org/10.1136/bmj.j1456

And Now There Are Six!!

Scientists eh! What a drag they can be! Forever coming up with new things that the rest of us have to wrap our minds around (or at least feel we should try).

Readers of these pages will know I’m periodically apt to wax rhapsodic about ‘the secret of life’ – the fact that all living things arise from just four different chemical units, A, C, G and T. Well, from now on it seems I’ll need to watch my words – or at least my letters – though maybe for a while I can leave it on the back burner in the “things that have been but not yet” category, to use the melodic prose of Christopher Fry.

Who dunnit?

The problem is down to Floyd Romesberg and his team at the Scripps Research Institute in California.

Building on a lot of earlier work, they’ve made synthetic units that stick together to form pairs – just like A-T and C-G do in double-stranded DNA. But, as these novel chemicals (X & Y) are made in the lab, the bond they form is an unnatural base pair.

Left: Two intertwined strands of DNA are held together in part by hydrogen bonds. Right top: Two such bonds (dotted lines) link adenine (A) to thymine (T); three form between guanine (G) and cytosine (C). These bases attach to sugar units (ribose) and phosphate groups (P) to form DNA chains. Right bottom: Synthetic X and Y units can also stick together and, via ribose and phosphate, become part of DNA.

After much fiddling Romesberg’s group derived E. coli microbes that would take up X and Y when they were fed to the cells as part of their normal growth medium. The cells treat X and Y like the units they make themselves (A, C, G & T) and insert them in new DNA – so a stretch of genetic code may then read: A-C-G-T-X-T-A-C-Y-A-T-… And, once part of DNA, the novel units are passed on to the next generation.

Science fiction?
If this has you thinking creation and exploitation of entirely new life forms?!!’ you’re not alone. Seemingly Romesberg is frequently asked if he’s setting up Jurassic Park but, as he points out, the modified bugs he’s created survive only as long as they’re fed X and Y so if they ‘escape’ (being bugs this would probably be down the drain rather than over a fence), they die. Cunning eh?!!

Is this coming to a gene near you?
No. It is, however, clear that more synthetic bases will be made, expanding the power of the genetic code yet further. What isn’t yet known is what the cells will make of all this. In other words, the whole point of tinkering with DNA is to modify the code to make novel proteins. In the first instance the hope is that these might be useful in disease treatment. Rather longer-term is the notion that new organisms might emerge with specific functions – e.g., bugs that break down plastic waste materials.

At the moment all this is speculation. But what is now fact is amazing enough. After 4,000 million years since the first life-forms emerged, more than five billion different species have appeared (and mostly disappeared) on earth – all based on a genetic code of just four letters.

Now, in a small lab in southern California, Mother Nature has been given an upgrade. It’s going to be fascinating to see what she does with it!

Reference

Zhang, Y. et al. (2017). Proceedings of the National Academy of Sciences 114, 1317-1322.

Now For Something Completely Different

As our faithful followers know, in these columns we adhere very strictly to science and in particular to cancer biology.

However, the time has come to reveal that we do engage in pursuits beyond science. Mainly because we need you all to support cottage industries by forking out $2.99 for our latest book Wooffie Says …

What is it? A book of short stories aimed firstly at youngsters learning to read. But the hope is that everyone will enjoy them – because they’re about cats!

But here comes the twist: each story contains a bit of science – the idea being to get kids interested as they’re enjoying the tales.

It also has a ‘good’ English’ theme.

The book is electronic so we’ve got links to make it easy to follow up each topic.

Oh, and it’s illustrated with wonderful cartoons!!

You’ll love it – and, even more important, so will all the kids in your family.

You can find it at:

https://www.smashwords.com/books/view/711108

 

 

Boldly Going

When you come across a very successful, middle-aged scientist jumping up and down shouting “This is going to be just amazing” you can only conclude that either the pressures of the life scientific have finally got to him and he’s flipped or there is something really remarkable going on. Thus my feeling this week when I noted the behaviour of Greg Hannon who now works at the Cancer Research Institute in Cambridge.

Probing further, it emerged that Hannon, who is collaborating with Xiaowei Zhuang at Harvard University in the ‘other’ Cambridge, has just been awarded a five-year grant of £20 million by the London-based charity Cancer Research UK as part of its Grand Challenge initiative – more than enough to get your jumping genes going.

But it’s the aim of the project rather than its monetary size that is truly astonishing and has almost a feel of science fiction about it. The plan is nothing less than to come up with an interactive virtual-reality map of breast cancers. That is, to reconstruct every cell that makes up a tumour, showing the different types of cell and what they are up to at any given time – meaning that the model will display the expression level of thousands of genes in each cell and the different proteins being made. Staggering.

What’s the point?

The project is driven by the fact that we have gradually come to realize that tumours are a complex mixture of cells (what’s been called the tumour microenvironment) and the signals that these cells send out and receive determine the extent of tumour growth and whether it can spread to other sites in the body (i.e. metastasize).

Where have we got to?

One approach to mapping what’s going on was laid out a couple of years ago by the converging studies of Rahul Satija and colleagues of the Broad Institute of MIT and Harvard and Kaia Achim et al. from labs in Heidelberg, Cambridge and Oxford using zebrafish embryos and worm brains, respectively.

The method has two parts:

  1. The tissue is dissociated into single cells and the power of sequencing is applied to obtain RNA sequences from each cell (revealing which genes are ‘switched on’ in that cell).
  2. The second step visualizes specific RNAs using tagged probes (fluorescently labeled RNAs that enter cells and bind to target RNAs molecules).

In essence a reference map is made by overlaying the intact tissue with a grid and matching a cell to a grid area by comparing expression of a number of ‘landmark’ genes with the fluorescence marker signal.

To do all this they devised a computational package that, using fewer than 100 landmark genes, maps hundreds of sequenced cells to their location in the tissue. In that arty way that scientists have, they named their package after Georges-Pierre Seurat, the French chappie who came up with the idea of painting in small dots of colour (though his weren’t fluorescent).

Cellular pointillism has just taken another step forward with Keren Bahar Halpern, Ido Amit and Shalev Itzkovitz at the Weizmann Institute of Science, Rehovot, Israel producing a cell-by-cell map of mouse liver, complete with RNA sequences from each cell. To be precise they mapped the hexagon-shaped units called lobules that are repeated to make up mammalian liver.

The shapes of things to come

So the next step for Hannon and his colleagues is an interactive map of a human tumour and, if you can’t wait, CLICK HERE to see their mock-up to give you some idea of what’s in store. In this synthetic video tumour cells are green, macrophages are blue and blood vessels are red.

Overwhelming?

So it’s warp factor 9 for Captain Hannon and his crew. It may be that the 3D images of tumours will look a bit the virtual graphics that the astrophysicists fob off on us whilst pretending they have some idea what a star’s doing umpti-zillion light years away. But in fact, rather than boldly going where no man has gone before“, this cellular journey is better summed up by Marcel Proust The real voyage of discovery consists not in seeking new landscapes, but in having new eyes” – the new eyes being the stunning combination of methods that permits 3D interrogation of individual cells.

Will this phase of the Grand Challenge produce overwhelming amounts of data? Undoubtedly. But, if we are to understand how living things work we have to front up to the complexity of nature. We then have to hope we are smart enough to resolve the crucial from the detail.

References

Satija, R. et al. (2015). Spatial reconstruction of single-cell gene expression data. Nature Biotechnology 33, 495–502.

Achim, K. et al. (2015). High-throughput spatial mapping of single-cell RNA-seq data to tissue of origin. Nature Biotechnology 33, 503–509.

Halpern, K. B. et al. (2017). Nature 542, 352–356.

Through the Smokescreen

For many years I was lucky enough to teach in a cancer biology course for third year natural science and medical students. Quite a few of those guys would already be eyeing up research careers and, within just a few months, some might be working on the very topics that came up in lectures. Nothing went down better, therefore, than talking about a nifty new method that had given easy-to-grasp results clearly of direct relevance to cancer.

Three cheers then for Mikhail Denissenko and friends who in 1996 published the first absolutely unequivocal evidence that a chemical in cigarette smoke could directly damage a bit of DNA that provides a major protection against cancer. The compound bound directly to several guanines in the DNA sequence that encodes P53 – the protein often called ‘the guardian of the genome’ – causing mutations. A pity poor old Fritz Lickint wasn’t around for a celebratory drink – it was he, back in the 1930s, that first spotted the link between smoking and lung cancer.

This was absolutely brilliant for showing how proteins switched on genes – and how that switch could be perturbed by mutations – because, just a couple of years earlier, Yunje Cho’s group at the Memorial Sloan-Kettering Cancer Center in New York had made crystals of P53 stuck to DNA and used X-rays to reveal the structure. This showed that six sites (amino acids) in the centre of the P53 protein poked like fingers into the groove of double-stranded DNA.

x-ray-picCentral core of P53 (grey ribbon) binding to the groove in double-stranded DNA (blue). The six amino acids (residues) most commonly mutated in p53 are shown in yellow (from Cho et al., 1994).

So that was how P53 ‘talked’ to DNA to control the expression of specific genes. What could be better then, in a talk on how DNA damage can lead to cancer, than the story of a specific chemical doing nasty things to a gene that encodes perhaps the most revered of anti-cancer proteins?

The only thing baffling the students must have been the tobacco companies insisting, as they continued to do for years, that smoking was good for you.

And twenty-something years on …?

Well, it’s taken a couple of revolutions (scientific, of course!) but in that time we’ve advanced to being able to sequence genomes at a fantastic speed for next to nothing in terms of cost. In that period too more and more data have accumulated showing the pervasive influence of the weed. In particular that not only does it cause cancer in tissues directly exposed to cigarette smoke (lung, oesophagus, larynx, mouth and throat) but it also promotes cancers in places that never see inhaled smoke: kidney, bladder, liver, pancreas, stomach, cervix, colon, rectum and white blood cells (acute myeloid leukemia). However, up until now we’ve had very little idea of what, if anything, these effects have in common in terms of molecular damage.

Applying the power of modern sequencing, Ludmil Alexandrov of the Los Alamos National Lab, along with the Wellcome Trust Sanger Institute’s Michael Stratton and their colleagues have pieced together whole-genome sequences and exome sequences (those are just the DNA that encode proteins – about 1% of the total) of over 5,000 tumours. These covered 17 smoking-associated forms of cancer and permitted comparison of tobacco smokers with never-smokers.

Let’s hear it for consistent science!

The most obvious question then is do the latest results confirm the efforts of Denissenko & Co., now some 20 years old? The latest work found that smoking could increase the mutation load in the form of multiple, distinct ‘mutational signatures’, each contributing to different extents in different cancers. And indeed in lung and larynx tumours they found the guanine-to-thymine base-pair change that Denissenko et al had observed as the result of a specific chemical attaching to DNA.

For lung cancer they concluded that, all told, about 150 mutations accumulate in a given lung cell as a result of smoking a pack of cigarettes a day for a year.

Turning to tissues that are not directly exposed to smoke, things are a bit less clear. In liver and kidney cancers smokers have a bigger load of mutations than non-smokers (as in the lung). However, and somewhat surprisingly, in other smoking-associated cancer types there were no clear differences. And even odder, there was no difference in the methylation of DNA between smokers and non-smokers – that’s the chemical tags that can be added to DNA to tune the process of transforming the genetic code into proteins. Which was strange because we know that such ‘epigenetic’ changes can occur in response to external factors, e.g., diet.

What’s going on?

Not clear beyond the clear fact that tissues directly exposed to smoke accumulate cancer-driving mutations – and the longer the exposure the bigger the burden. For tissues that don’t see smoke its effect must be indirect. A possible way for this to happen would be for smoke to cause mild inflammation that in turn causes chemical signals to be released into the circulation that in turn affect how efficiently cells repair damage to their DNA.

raleighs_first_pipe_in_england-jpeg

Sir Walt showing off on his return                         to England

Whose fault it is anyway?

So tobacco-promoted cancers still retain some of their molecular mystery as well as presenting an appalling and globally growing problem. These days a popular pastime is to find someone else to blame for anything and everything – and in the case of smoking we all know who the front-runner is. But although Sir Walter Raleigh brought tobacco to Europe (in 1578), it had clearly been in use by American natives long before he turned up and, going in the opposite direction (à la Marco Polo), the Chinese had been at it since at least the early 1500s. To its credit, China had an anti-smoking movement by 1639, during the Ming Dynasty. One of their Emperors decreed that tobacco addicts be executed and the Qing Emperor Kangxi went a step further by beheading anyone who even possessed tobacco.

And paying the price

And paying the price

If you’re thinking maybe we should get a touch more Draconian in our anti-smoking measures, it’s worth pointing out that the Chinese model hasn’t worked out too well so far. China’s currently heading for three million cancer deaths annually. About 400,000 of these are from lung cancer and the smoking trends mean this figure will be 700,000 annual deaths by 2020. The global cancer map is a great way to keep up with the stats of both lung cancer and the rest – though it’s not for those of a nervous disposition!

References

Denissenko, M.F. et al. ( (1996). Preferential Formation of Benzo[a]pyrene Adducts at Lung Cancer Mutational Hotspots in P53.Science 274, 430–432.

Cho, Y. et al. (1994). Crystal Structure of a p53 Tumor Suppressor-DNA Complex: Understanding Tumorigenic Mutations. Science, 265, 346-355.

Alexandrov, L.D. et al. (2016). Mutational signatures associated with tobacco smoking in human cancer. Science 354, 618-622.

Seeing a New World

May I wish readers a Happy New Year – and indeed extend my felicitations to non-readers with the hope that they too will become followers! What a good idea! Not least because I suspect many are viewing the new year with a mixture of anxiety and despair. But I can promise there’s nothing like the sanity of science to restore you after a few minutes contemplating how we’re doing on the economic and political fronts.

Your starter for 2017

By happy chance a few weeks ago I tried to explain how it’s now possible to ‘re-write the manual of life’ – that is, to engineer our DNA, to fix broken genes if you like. This means that, in theory, it’s possible to correct errors in our genetic code that cause genetic diseases. As there are over 6,000 of these and they include Down syndrome, cystic fibrosis and Alzheimer’s disease, there’s no need to say it’s important. There are several ways of going about this but the one I described is called CRISPR and it’s had a lot of media coverage.

Right on cue

Well done then Keiichiro Suzuki, Juan Carlos Belmonte and friends from the Salk Institute in California together with colleagues from other centres in Spain, Saudi Arabia and China for their December paper describing a new CRISPR twist. They used a rat model of retinitis pigmentosa, a genetic disease that is a major cause of inherited blindness, afflicting about one and a half million people worldwide (one in 4,000 in the UK).

The CRISPR-Cas9 system is great but it works best in dividing cells (e.g., in skin and gut that are renewing all the time) and it’s particularly useful for knocking out genes rather than inserting new DNA. The latest modification allows a new gene to be inserted into a specific site in the DNA of cells that are not dividing (e.g., those of the eye or brain).

The bits of CRISPR-Cas9, which insert DNA at very precise locations within the genome, are delivered to target cells as part of an inert virus. However, the package also includes DNA that encourages the cells to use a repair process that can be turned on even in non-dividing cells. So CRISPR-Cas9 cuts the cell’s DNA at an exact sequence and the cell then repairs the double-strand breaks (by a process called non-homologous end joining (NHEJ) that glues the broken ends directly together). Give the cell a new bit of DNA (e.g., your favorite gene) and that will get patched in – bear in mind that the cell doesn’t ‘know’ what it’s doing: it just tries to fix damaged DNA with whatever’s at hand.

And the target?

Retinitis pigmentosa occurs when a chunk of a gene called Mertk is lost. After quite a lot of experiments to show that their method worked, Suzuki, Belmonte & Co made a viral carrier that included a normal Mertk gene and injected it under the retina of rats with the disease. After about 5 weeks the rats were making Mertk RNA as a result of the gene being correctly ‘knocked-in’ to eye cells. The light-detecting region of the eye, greatly reduced by the disease, was significantly restored, with associated appearance of MERTK protein.

      Diseased    Normal     Treated                         Diseased         Normal         Treated

pic

Left trio: Sections of the light-detecting layers of the eye in diseased (left), normal (centre) and diseased post-treatment rats (right). Right trio: corresponding fluorescence images showing MERTK expression (red: highlighted by white arrows); Cells labeled blue. (Suzuki et al. Nature 1–6 (2016) doi:10.1038/nature20565)

How did the rats see it?

Well, after treatment they were able to detect light and had significantly recovered their visual functions, albeit not to completely normal levels.

The usual caveats apply: the method isn’t hyper-efficient and a human treatment is still a long way off. Nevertheless, it’s a significant step.

The same group has also shown, using a way of re-programming the expression of just four genes, that it’s possible to arrest the signs of ageing. In other words, in mice this time, tinkering with these genes can increase lifespan – and yes, we have versions of these genes and in us they also control cell renewal.

So the New Year message is clear to see. If we can avoid turning the planet into a desert or blowing ourselves to smithereens the future is really rosy – and maybe even infinite!

References

Suzuki, K. et al. (2016). In vivo genome editing via CRISPR/Cas9 mediated homology-independent targeted integration. Nature 540, 144-149.

Ocampo, A. et al. (2016). In Vivo Amelioration of Age-Associated Hallmarks by Partial Reprogramming. Cell 167, 1719–1733.

Cockles and Mussels, Alive, Alive-O!

And so they are across the globe, not forgetting clams, a term that can cover all bivalve molluscs – a huge number of species (over 15,000), all having a two-part, hinged shell. The body inside doesn’t have a backbone, making it soft and edible on a scale of keeping-you-alive to orgasmic, depending on the consumer – oysters and scallops are part of the family.

Bivalves are particularly common on rocky and sandy coasts where they potter happily along, generally burrowing into sediment although some of them, scallops for instance, can swim. By and large their only problem is that humans like to eat them.

Clamming up

However, it gradually emerged in the 1970s that there was another cloud hovering over some of these gastronomic delights. Their commercial importance had drawn attention to the fact that soft-shell clams living along the east coast of North America, together with mussels on the west coast and cockles in Ireland, were dying in large numbers. The cause was an unusual type of cancer in which leukemia-like cells reproduce until they turn the blood milky and the animals die, in effect, from asphyxiation. In soft-shell clams, also known as sand gapers and steamers, the disease has spread over 1,500 km from Chesapeake Bay to Prince Edward Island.

A 2009 study had shown that as the disease progresses there is a rise in the number of blood cells that have abnormally high amounts of DNA (in clams typically four times the normal number of chromosomes – i.e. they’re tetraploid). In parallel with this change the cells make increasing amounts of an enzyme called reverse transcriptase (RT).

That was pretty surprising as RT does what its name suggests: reverses part of the central dogma of molecular biology (DNA makes RNA makes protein) by using RNA as a template to make DNA. RT is usually carried by viruses whose hereditary material is RNA (rather than DNA – so they’re called retroviruses). As part of their life cycle they turn their genomes into DNA that inserts into the host’s genome – which gets reproduced (as RNA) to make more viruses.

But how did RT get into clams? Enter Michael Metzger and Stephen Goff from Columbia University in New York, together with Carol Reinisch and James Sherry from Environment Canada, who began to unravel the mystery.

Jumping genes

Using high throughput sequencing they showed that clam genomes contain stretches of about 5,000 bases that came about when the RNA of a virus was copied into DNA by RT (reverse transcriptase) and then inserted into the host chromosome. Normal clams have from two to ten copies of this ‘repetitive element’ that Metzger & Co dubbed Steamer. That wasn’t too surprising as we have repetitive DNA too – it makes up about half the human genome. Many of these repeated sequences can move around within the genome – they’re often called ‘jumping genes’ – and it’s easy to see how this can happen when RT uses RNA to make DNA that can then pop into new sites in the genome. And you might guess that this process could damage the host DNA in ways that might lead to disease.

A long jump?

It turned out that the diseased clams had suffered massive amplification of Steamer to the extent that they carry 150 to 300 copies of the sequence. So that’s about 30 times as many Steamer DNAs being scattered across the clam genome – but how could that cause the same disease all the way from New York to Prince Edward Island? The answer came from peering into the DNA sequences of the tumour cells: they were virtually identical to each other – but they were different to those of their hosts! Meaning? The damage that led to leukemia, caused by shoe-horning 100s of extra copies of Steamer into clam genomes, only occurred once. And the staggering implication of that finding is that the cancer spread from a single ‘founder’ clam throughout these marine-dwelling molluscs. The resemblance to the way the cancer spreads in Tasmanian devils is striking.

Fishier and fishier

Fast forward to June 2016 and the latest contribution from the Metzger group reporting four more examples of transmissible cancer in bivalves – in mussels from British Columbia, in golden carpet shell clams from the Spanish coast and two forms in cockles.

Each appears to cause the same type of leukemia previously found in clams. The disease appears to be transmitted ‘horizontally’, i.e. by living cancer cells, descended from a single common ancestor, passing directly from one animal to another. Indeed, if you transplant blood cells from infected animals into normal clams they get leukemia.

 Species hopping

All that is quite amazing but the genetic analysis came up with an even more bizarre finding. In the golden carpet shell clams DNA from cancer cells showed no match with normal DNA from this species. It was clearly derived from a different species, which turned out to be the pullet shell clam – a species that, by and large doesn’t get cancer. So they have presumably come up with a way of resisting a cancer that arose in them, whilst at the same time being able to pass live tumour cells on to another species!!clam-transfer-pic

Cancer cell transmission between different species of shellfish. Cancer cells can arise in one species (pullet shell clams) that do not themselves develop leukemia but are able to pass live cells to another species (golden carpet shell clams) that do get leukemia (Metzger et al. 2016).

We have no idea how the cancer cells survive transfer. It seems most likely that they are taken up through the siphons that molluscs use for feeding, respiration, etc. and then somehow get across the walls of the respiratory/digestive systems. In the first step they would have to survive exposure to sea water which contains a lot more salt than cells are happy in. The ‘isotonic’ saline used in drips to infuse patients contains 0.9% salt whereas seawater, with 3.5%, is ‘hypertonic’ – cells put in a hypertonic solution will shrink as water is drawn out of the cell into the surrounding solution. Presumably the cells shrivel up a bit but some at least take this in their stride and recover to reproduce in their new host. Equally obscure is how a species can protect itself from a cancer that it can pass to another species.

These amazing findings throw a different light on the care-free underwater life depicted in Disney’s The Little Mermaid, in which the popular song ‘Under the Sea’ fails to mention floating cancer.

Can this happen to us?!!

Well, not as far as we know. But the fact that the known number of cancers that can be passed from one animal to another has now risen to nine does make you wonder. However, there’s no evidence that it happens in humans in anything like the normal course of events. There are examples of person-to-person transfer, notably during organ transplantation, and there is one recent case of cancerous cells from a tapeworm colonising a human host. But these are very rare, the latter occurring in a patient with a severely weakened immune system, and there is no example of spread beyond two people.

Phew! What a relief! So now we can concentrate on following developments both in Tasmania and beneath the waves in the hope that, not only can we go on satisfying our lust for clam bakes and chowders, but that these incredible creatures will reveal secrets that will benefit mankind.

References

AboElkhair, M. et al. (2009). Reverse transcriptase activity associated with haemic neoplasia in the soft-shell clam Mya arenaria. Diseases of Aquatic Organisms 84, 57-63.

Arriagada, G. et al. (2014). Activation of transcription and retrotransposition of a novel retroelement, Steamer, in neoplastic hemocytes of the mollusk Mya arenaria. PNAS 2014 111 (39) 14175-14180; published ahead of print September 8, 2014, doi:10.1073/pnas.1409945111.

Metzger, M.J. et al. (2015). Horizontal Transmission of Clonal Cancer Cells Causes Leukemia in Soft-Shell Clams. Cell 161, 255–263.

Metzger, M.J. et al. (2016). Widespread transmission of independent cancer lineages within multiple bivalve species. Nature 534, 705–709.

Muehlenbachs, A. et al. (2015). Malignant Transformation of Hymenolepis nana in a Human Host. N Engl J Med 2015; 373:1845-1852.

Another Peek At The Poor Little Devils

A couple of years ago (July 2014) I wrote a piece called Heir of the Dog that featured Tasmanian devils. The size of a small dog, these iconic little chaps are the largest meat-eating marsupials in the world. I’d run into them at The Lone Pine Koala Sanctuary in Brisbane where they’re keeping company with the dozy, furry tree-climbers as part of a programme to save them – the devils, that is – from extinction by cancer.

animal-fact-guide

A Tasmanian devil. Photo: Animal Fact Guide

1024px-sarcophilus_harrisii_taranna

 

 

 

 

 

 

 

imgresTheir problem comes from their inclination to bite one another, thereby directly passing on living cancer cells (causing devil facial tumour disease – DFTD). At that time the only other known example of transmissible cancer was a rare disease in dogs (canine transmissible venereal tumour – CTVT).

Genetic archaeology

DNA sequencing (i.e. whole genome analysis) had shown that the sexually transmitted dog disease probably arose thousands of years ago in a wolf or East Asian breed of dog and that the descendants of those cells are now present in infected dogs around the world.

The same approach applied to the Tasmanian devil showed that the cancer first arose in a female. Cells derived from that original tumour have subsequently spread through the Tasmanian population, the clone evolving (i.e. genetically diverging) over time. In contrast to the canine disease, DFTD is probably not more than 20 years old. Nevertheless, it spread through the wild population to the extent that the species was listed as endangered in 2008 by the International Union for Conservation of Nature.

Which is why a lot of effort is going into saving them, one approach being a number of breeding programmes in mainland Australia, with the aim of transferring uninfected animals to Tasmania.

One good turn …?

We’re all in favour of saving the little fellows, even if you probably wouldn’t want one as a pet. But, smelly and ferocious as he is, the Tasmanian devil is turning out to be remarkable in ways that suggest they might repay our efforts to keep them going. Things have moved apace down under with Greg Woods, Ruth Pye, Elizabeth Murchison, Andrew Storfer and colleagues from the Universities of Tasmania, Cambridge, Southampton and Washington State making some remarkable discoveries.

Infected animals do indeed develop the most unpleasant, large tumours that are virtually 100% fatal – to the extent that DFTD has wiped out 80% of Tasmanian devils in just 20 years. But some animals survive, even though models of the epidemiology say they shouldn’t. Andrew Storfer’s group asked how they pulled off this trick by looking for genetic changes in almost 300 devils. Quite amazingly, they found that even in a period as short as 20 years there were seven different genes that appeared to have changed (i.e. mutated) in response to selection imposed by the disease. Five of these genes encode proteins known to be associated with cancer risk or the immune system in other mammals, including humans. It seems that the mutations help their immune system to adapt so that it can recognize and destroy tumour cells.

In parallel with those studies, Greg Woods and his team now have a vaccine that looks promising early in trials – in other words a way of boosting natural immunity. We are only just beginning to find ways of giving the human immune system a helping hand – hence the burgeoning field of immunotherapy – so anything that works in another animal might give some useful pointers for us.

sick-tasTasmanian devil facial tumour disease.

This has killed 80% of the wild Australian animals in just a few decades.

Photograph: Menna Jones.

As if that wasn’t enough, a second strain of cancer has been found in a small group of male Tasmanian devils. It causes fatal facial tumours that look much the same as the first DFTD. However, it has a completely different genetic cause – so different in fact that it carries a Y chromosome, clear indication that the two forms of the disease arose by quite distinct mechanisms – which makes this marsupial the only species known to be affected by two types of transmissible of cancer.

Milk and human kindness

On top of all that some brave souls at Sydney University, Emma Peel and Menna Jones, decided in that way that scientists do, to collect some milk from the ferocious furries, just to see if it was interesting. Astonishingly the marsupial milk contained small proteins (peptides) that could kill a variety of bugs. They’re called cathelicidins and one of the things they can target is methicillin-resistant Staphylococcus aureus – MRSA – one of the dreaded ‘superbugs’ that are resistant to penicillin and other antibiotics. It’s not clear whether these peptides help to protect the devils from cancer but if that’s how turns out it might be incredibly important for us. As for their antibiotic potential, well, as it’s predicted that by 2050 superbugs will be killing one of us every three seconds you could say that opportunity beckons.

So that’s all incredibly exciting – and not just for the Tassie devils. ­ But another reason for returning to this story is that the devils have recently been joined by another example of extraordinary cancer transmission – and this one comes from the last place on the planet that you’d look for it ….

References

Murchison, E.P. et al. (2012). Genome Sequencing and Analysis of the Tasmanian Devil and Its Transmissible Cancer. Cell 148, 780–791.

Pye, R.J. et al. (2016). A second transmissible cancer in Tasmanian devils. Proceedings of the National Academy of Sciences USA, 113, 374–379.

Epstein, B. et al. (2016). Rapid evolutionary response to a transmissible cancer in Tasmanian devils. Nature Communications 7, Article number: 12684: doi:10.1038/ncomms12684.

Peel, E. et al. (2016). Cathelicidins in the Tasmanian devil (Sarcophilus harrisii). Scientific Reports 6, Article number: 35019. doi:10.1038/srep35019.

How Does DNA Do It?

Last time we left you with the mother of all molecular cliffhangers: how can it be that the simple four-letter code of DNA can carry the information to make all life? Early in that piece we’d thrown in the fact that the human genome (i.e. our DNA) is made up of three billion letters. As Watson and Crick showed 53 years ago, it’s actually two intertwined molecules, each with three thousand million letters – but it’s the number that’s important because that carries all that’s needed to make you and me.

dnaBut, if you’re like me, you have real problems grasping the meaning of numbers much above 100 – so that ‘millions’, yet alone ‘billions’, come across simply as ‘lots’– and we’re left shaking in our head in bewilderment as to how it works.

A different angle

To get some sort of a grip on the scale of information that genomes can carry, it might be helpful to look at DNA from the other end, so to speak. This approach started five years ago among a group who work on applying computer technology to handling biological data – i.e. how to acquire, store, analyse and interpret the tsunami of genetic information now being produced. It’s a new field called bioinformatics.

What set the bioinformatics bods thinking is a point that will have occurred to you as an internet user (and who isn’t?). How can we deal with the unimaginable amount of info we want to store? That includes everything from your holiday snaps to the tons of scientific data, including the continuing flood of genomics. If ‘millions’ leaves you boggling, how about the estimate for the global digital archive of 44 trillion gigabytes by 2020 (I think that’s 44 followed by 21 zeros). That’s a 10-fold increase from 2013.

Whatever the numbers are, they’re unimaginable but, aside from being boggled by the facts, a slight problem is that storing that amount on conventional memory sticks would use at least 10 times the amount of available silicon. So, as they say, we have a problem.

DNA to the rescue?

The boffins worked out that if you could use the storage capacity of DNA as efficiently as possible, the length you’d need to squeeze in all those trilla-bytes would correspond to about a kilogram of DNA. Put another way, the storage density of DNA is 1000 times that of flash memories. How would that work? Well, in principle it’s a simple, four-step process:

  1. Convert text to binary code (ones and zeroes)
  2. Convert binary code to triplet code (called ‘trits’: zeroes, ones and twos of a 3-digit code)
  3. Use trit code to make DNA (0, 1 or 2 translated into a base, A,T,G or C, that differs from the one just used.
  4. DNA made in overlapping fragments (to give 4 copies of each piece of code)

Plain sailing?

One of the first experiments encoded Shakespeare’s sonnets in DNA, which showed that the idea was feasible – what scientists call a ‘proof of principle’. Of course, that’s only a beginning. There are big problems to overcome, like being able to make DNA strands cheaply and quickly enough and to be able to access the data required with the ease we’re used to with hard drives and flash memories. On the flip side, DNA preserved in permafrost has been sequenced from woolly mammoths tens of thousands of years old and from horses entombed for 700,000 years, so we know that as a storage medium it’s rather more durable than anything currently in use.

For the record

The key point here is that, at the moment, DNA appears to be the only option if we are not to grind to a halt on the information storage front. Regardless of solving the problems involved, that alone gives a new perspective to the coding power of those four little bases, A, C, G and T.

References

Extance, A. (2016). How DNA could store all the world’s data. Nature 537, 22–24.

Goldman, N. et al. (2013). Nature 494, 77-80.

Orlando, L. et al. (2013). Nature 499, 74-78.