Why torties are…well…torties.

Hi there,

Tortoiseshell cats are quite unique and there is an epigenetic reason for the characteristic speckling and mottling that mark the breed. Tortoiseshell cats also happen to be exclusively female due to the nature of the epigenetic process at work.

The coat colours of cats are determined by genes localised to the X-chromosome, and just like humans, female cats have two X-chromosomes and male cats have one. The neat trick is here – femal torties express different copies of the coat-colour gene in different cells, randomly – a hallmark of a process called X-inactivation.

Tortie!

X-inactivation is actually extremely important in order to prevent an overexpression of genes in female animals – in order to maintain steady levels of gene expression similar to that seen in males you need to express only one copy of the X chromosome, despite having two. The process of X-chromosome inactivation is how cells achieve this.

The process itself involves the production of long non-coding RNAs from a gene cluster on X chromosomes that we call the X-inactivation centre, the most famous of which is Xist. Xist spreads along the X chromosome that inactivates it and then recruits other factors that lock in epigenetic modifications such as DNA methylation to silence expression of that particular X chromosome, permanently. X inactivation does not happen in males though because to X-inactivation centers have to be points where X chromosomes “kiss” to trigger the cascade of changes that shuts all but one of them down. Here’s another cool thing – If you read Xist from the opposite side it encodes a long non-coding RNA called Tsix (Clever name – see if you can figure it out) – and if it is expressed, Xist isn’t. You can induce inactivation in other chromosomes by putting in copies of a chromosome that have been spiked with the X-inactivation centre.

Here’s a cool video explaining the process…

It is all very very intriguing because the X-inactivating centre is composed entirely of non-coding RNAs as far as we know it.  There’s more to biology than proteins (prejudice declared – I don’t like protein work much). You can read a lot of the backstory and study details at Scitable here.

Cheers,
Exploreable

More is not always merrier- methylation version.

Hi there,

This is a mini paper-review of sorts. A few posts ago I described work by Robert Gatenby’s work showing that using lower doses of chemotherapy could potentially lead to more durable antitumour responses. Today I will review some rather intriguing findings using a drug called decitabine, again starting off with the premise that lower doses might be better than higher doses.

Drugs like Azacitidine and Decitabine are passive hypomethylating agents – they are analogs of cytosine – one of the four bases that make up DNA, and react with DNA methyltransferase 1, which carries out DNA methylation and traps it. With no free enzyme to copy methylation states to daughter cells, methylation is progressively lost, with the hope being that genes that have to be silenced by methylation for cancer cells to survive/stay undifferentiated are reactivated, resulting in the castration of a cell’s malignant potential.

These drugs have found extremely limited use due to very high toxicity – being limited to haematological conditions like Myelodysplastic syndrome, but people noticed that there were delayed effects that appeared to be independent of the cytotoxicity of high doses. This, combined with a lung cancer trial where low doses in combination with an HDAC inhibitor showed some good results led researchers to investigate what treating cells with extremely low, normally subtoxic doses of these agents could do.

They found that the agents at those doses could blunt the ability of treated leukamia cell lines to form colonies in glass dishes (that’s a standard assay we use to test how effective an anticancer drug might be) and to induce leukaemia when injected into NOD/SCID mice (which lack an immune system and will therefore accept grafts of human cancers). Importantly, these doses did not hit the colony forming ability of normal blood-forming cells.

low-dose decitabine inhibits colony formation in leukaemia cell lines (a), reduces engraftment of leukaemia cells in bone marrow in NOD/SCID mice (b) and reduces the number of CD34+ cells that have engrafted (CD34 is a surface protein that marks the leukaemic stem cell compartment) (c)

low-dose decitabine inhibits colony formation in leukaemia cell lines (a), reduces engraftment of leukaemia cells in bone marrow in NOD/SCID mice (b) and reduces the number of CD34+ cells that have engrafted (CD34 is a surface protein that marks the leukaemic stem cell compartment) (c)

They did similar experiments with 5-Aza and Decitabine using a breast cancer cell line (MCF-7) and primary breast cancer tissue xenografts. Whatever was true for leukaemia cell lines was also true for these samples. They did a range of primary and secondary xenografts, wherein cells were treated with the drug for 72 hours at low doses (replaced daily) and left for 7-14 days before being put into mice, and secondary transplantations were made from these. There were potent long term effects brought about by drug treatment compared to untreated cells.

Decitabine treatment results in potent long term effects on tumour growth in both primary and secondary xenografts relative to untreated cells, suggesting effects through epigenetic reprogramming.

Decitabine treatment results in potent long term effects on tumour growth in both primary and secondary xenografts relative to untreated cells, suggesting effects through epigenetic reprogramming.

In primary breast cancer samples, they found that colony formation was impaired and treatment with Azacitidine depleted cells in the stem-like cell compartment (CD44+, CD24-). They profiled methylation and expression changes using arrays in treated cell lines and found a host of changes associated with increased expression of genes that suppress the cell cycle proper and entry into it.

I’ve tried using the drug on some of the cell lines I’ve worked on in the past and saw similar results in how treatment with a very low dose of decitabine could, upon transient exposure, result in cells that show divergent growth properties. Clearly, decitabine might be a promising addition to therapy in a broad spectrum of tumour types, especially if there are driver methylation events that drive cell survival. The existence of such methylation states will be the subject of another blog post soon in the future.

Paper Reference -
Tsai HC, Li H, Van Neste L, Cai Y, Robert C, Rassool FV, Shin JJ, Harbom KM,
Beaty R, Pappou E, Harris J, Yen RW, Ahuja N, Brock MV, Stearns V, Feller-Kopman D, Yarmus LB, Lin YC, Welm AL, Issa JP, Minn I, Matsui W, Jang YY, Sharkis SJ,Baylin SB, Zahnow CA. Transient low doses of DNA-demethylating agents exert durable antitumor effects on hematological and epithelial tumor cells. Cancer Cell. 2012 Mar 20;21(3):430-46. doi: 10.1016/j.ccr.2011.12.029. PubMed PMID:22439938; PubMed Central PMCID: PMC3312044.

Cheers,
Ankur ‘Exploreable’ Chakravarthy.

Paper Review: Identification and functional validation of HPV-mediated hypermethylation in head and neck squamous cell carcinoma

Hello everyone.

It has been bloody long since I last blogged because I have been battling illness and getting stuck into research at the same time. I’m going to review a paper I did some work towards in this post. I have written about DNA methylation in the past and the research groups I worked with/continue to work with were focusing on the various genetic and epigenetic alterations that characterise  head and neck squamous cell carcinoma (HNSCC), which is the sixth most common type of cancer.

HNSCC can be thought of as two distinct cancers with vastly different prognosis and aetiologies; a vast majority are caused by heavy smoking overlapping with heavy drinking and an increasing proportion is caused by HPV infection, transmissible through oral sex. (HPV, by the way, is the same virus that drives cervical cancer). HPV infection per se is insufficient to cause the cancers associated with it – there have to be additional genetic and epigenetic modifications on top. HPV positive HNSCC has excellent survival relative to HPV negative HNSCC, by the way.

In this study, we obtained clinical samples of both HPV positive and HPV negative HNSCC – some were fresh frozen upon surgical resection/biopsy, a lot were FFPE samples (Formalin fixed,paraffin embedded) and we also profiled cell lines using Illumina 450k methylation arrays, which give a read-out of methylation at 483,000 CpG sites (A cytosine followed by a guanine) across the human genome for less than a large pizza per sample.

The FFPE samples were used as a training set and the Fresh frozen samples and cell lines were used as a validation set. We found quite a few interesting things…

[1] HPV positive HNSCC exhibits a greater degree of DNA methylation (Hypermethylation) than HPV negative HNSCC, especially in genes that are known to be silenced by PRC2 complexes in stem cells. PRC2 complexes consist of multiple proteins that co-operate to produce the H3k27 histone mark. We find the same genes being silenced by DNA methylation instead in HPV positive HNSCC. This is also strongly associated with differences in expression; More the methylation, less the expression, as it should be.

HPV positive HNSCC exhibits hypermethylation relative to HPV negative HNSCC. Blue represents high methylation and yellow represents low methylation.

HPV positive HNSCC exhibits hypermethylation relative to HPV negative HNSCC. Blue represents high methylation and yellow represents low methylation.

[2] A subset of HPV positive HNSCC showed very high degrees of methylation – which is called a CpG Island Methylator Phenotype, and was associated with significantly worse survival.

CIMP phenotype (Cluster 1a) is associated with very high methylation, HPV positivity and significantly worse survival compared to HPV positive tumours with comparatively less methylation (Cluster 1b) as shown in the Kaplan Meier curve at the right.

CIMP phenotype (Cluster 1a) is associated with very high methylation, HPV positivity and significantly worse survival compared to HPV positive tumours with comparatively less methylation (Cluster 1b) as shown in the Kaplan Meier curve at the right.

[3] If you put the viral oncogenes E6 and E7 into a cell line that was derived from HPV negative HNSCC, you tend to see that E6 induces hypermethylation. This wouldn’t be surprising because p53, which is blocked by E6, is known to regulate DNMT1, a DNA methyltransferase that is involved in the maintenance of methylation.

[4] If you use probes on the array that are significantly different between HPV positive HNSCC and HPV negative HNSCC, and compare them to publicly available data for cervical and lung cancer by a process called multidimensional scaling, you find that HPV negative HNSCC is closely related to lung cancer while HPV positive HNSCC is closer to cervical cancer, suggesting that HPV modulates the methylation patterns that make cervical cancer closer to HNSCC of this type.

Multidimensional scaling shows HPV negative HNSCC (HPV0) to be more closely related to lung cancer and HPV positive HNSCC to be similar to cervical cancer.

Multidimensional scaling shows HPV negative HNSCC (HPV0) to be more closely related to lung cancer and HPV positive HNSCC to be similar to cervical cancer.

[5] The relationship between methylation and expression is valid and as predicted even in a panel of HNSCC cell lines, as I demonstrated using qPCR, where we get RNA, make DNA, and then do PCR to find out how many cycles it takes to get past a particular threshold of fluorescence.

Genes that are significantly hypermethylated in HPV positive HNSCC are relatively overexpressed in HPV negative HNSCC as expected (The relationship between most methylation and expression is inverse)

Genes that are significantly hypermethylated in HPV positive HNSCC are relatively overexpressed in HPV negative HNSCC as expected (The relationship between most methylation and expression is inverse)

[6] We found that DNMT1 and DNMT3a , which are enzymes involved in maintaining and establishing DNA methylation, are expressed more in HPV positive HNSCC cell lines relative to HPV negative HNSCC cell lines as a group.

DNMT1 and DNMT3a are significantly overexpressed in a panel of HPV positive HNSCC cell lines vs HPV negative HNSCC cell lines.

DNMT1 and DNMT3a are significantly overexpressed in a panel of HPV positive HNSCC cell lines vs HPV negative HNSCC cell lines.

So basically, we started off with two subsets of a type of cancer, identified that the methylation patterns between them are different, that this has functional ramifications and clinical implications. It would be very interesting if someone ended up looking at hitting methylation in HPV positive cancers with anti-methylation drugs to see if that high level of methylation is just an artefact of how HPV positive HNSCC develops or whether there are therapeutic opportunities to be had.

Journal Reference 
Matthias Lechner, Tim Fenton, James West, Gareth Wilson, Andrew Feber, Stephen Henderson, Christina Thirlwell,Harpreet K Dibra, Amrita Jay, Lee Butcher, Ankur R Chakravarthy, Fiona Gratrix, Nirali Patel, Francis Vaz, Paul O’Flynn, Nicholas Kalavrezos, Andrew E Teschendorff, Chris Boshoff and Stephan Beck, Identification and functional validation of HPV-mediated hypermethylation in head and neck squamous cell carcinoma, Genome Medicine 2013, 5:15 doi:10.1186/gm419
URL - http://genomemedicine.com/content/5/2/15/abstract

Cheers,
Exploreable.

Science reporting doesn’t get dodgier than this.

Alright, this is going to be a bit ranty. When I write about research I take great care to read the primary literature and try and ensure I am not making unfounded claims or assumptions. Newspapers, on the other hand, it appears, are loathe to do the same.

To put things into context, Mina Bissell and collaborators at UC Berkeley have shown that mechanical compression of breast cancer cells grown in 3d culture in a laminin-rich substance called Matrigel can force them to behave and develop like normal mammospheres. Accurate report here  here. Digression – look up Mina’s brilliant TED talk here that focuses on some of the work she’s done to show how the microenvironment cancer cells find themselves in can suppress tumourigenesis here.

Somehow, the utter morons who reported this in the popular press made the leap from “squeezing breast cancer cells” to “squeezing breasts” and went from compression to compression bras as a therapeutic option! Below is a screenshot from the Deccan Herald, which is a paper widely read in the state of Karnataka in India, where I am currently on vacation.

WTF1

If local stupidity weren’t enough, someone on MSN Now has had a similar idea.
WTF2

 

It looks like the Deccan Herald ripped everything off straight from the Daily Fail, which has a very dubious record with reporting about cancer – so dubious, in fact, there was actually a BBC Three song about their obsession with things that cause cancer.

WTF3

 

It looks like several other newspapers have come out with similar bullshit (Check google news for “squeezing breasts prevent cancer”).

Oh dear!

Exploreable.

Gatenby’s Gambit.

Pardon the unconventional title. I haven’t blogged for long but now I have some time to write a blog post I am going to write about some research that seeks to change the way we employ chemotherapy to control tumours.

We have loads of targeted and broad-spectrum chemotherapeutic agents available for treating cancer and quite often cancer cells evolve resistance to chemotherapeutic agents; they may acquire mutations that render the drugs ineffective [1] or begin to express drug efflux pumps that can just chuck chemotherapeutic agents outside [2] or activate repair pathways that can unhook crosslinks induced by classical chemotherapeutic agents like cis-platin [3]. These phenotypes come to dominate the otherwise heterogeneous landscape of tumours because the administration of chemotherapy imparts a selective pressure in favour of resistant clones.

Robert Gatenby’s group at Florida began working with the premise that the evolution of resistance is inevitable, but that the expansion and dominance of resistant clones is not. Instead of using chemotherapy at extremely high doses they sought to use drugs at concentrations low enough to maintain a population of non-resistant cancer cells that could then compete with and inhibit the growth of resistant clones.

Non-resistant cells can do this in the absence of high-dose chemotherapy that eliminates all of them because it takes energy to maintain resistance through  some routes (efflux pumps or repair) at least. The researchers in question first established that there was an energy cost associated with the expression of efflux pumps. They found that in low-glucose conditions, cells negative for PGP (an efflux pump) grew nearly as well in low-glucose conditions as they did in high-glucose conditions, but PGP +ve (MCF7/Dox in the figure) took a hit in proliferation.

Gatenby-1

They then put resistant and non-resistant cells together in culture in the presence and the absence of verapamil, a substrate for PGP that results in increased energy expenditure and  found that the proportion of PGP+ cells was vastly reduced relative to PGP – cells when verapamil was included.

After carrying out studies of how quickly the cells doubled in culture, how sensitive they were to energy restriction (low glucose) and a metabolic inhibitor (2-deoxyglucose) that could compete for and block glucose utilisation they developed a therapeutic strategy that used verapamil and 2-deoxyglucose and went on to test if they could delay disease progression in computer simulations using non-resistant clones to suppress the growth of resistant clones. Especially interesting was the fact they could use non-chemotherapeutic doses of verapamil to reverse fitness, turning PGP expression into a growth disadvantage.

Gatenby-2

They found that adaptive chemotherapy (where chemotherapy is used in doses that does not eliminate all of the susceptible cancer cells, reducing toxicity in the process)  in the presence of 2-deoxyglucose and verapamil could significantly delay time to disease progression (increasing tumour burden in the presence of the drug). The work provides an interesting perspective on how chemotherapy might best be used and challenges the assumption that maximal doses are optimal.

Primary Reference - http://cancerres.aacrjournals.org/content/early/2012/12/06/0008-5472.CAN-12-2235.full.pdf+html (paywalled)

Other References
[1] http://www.nature.com/onc/journal/v28/n1s/abs/onc2009198a.html

[2]http://www.nature.com/clpt/journal/v89/n4/full/clpt201114a.html (paywalled)
[3] http://www.nature.com/bjc/journal/v97/n7/full/6603973a.html

 

A very short introduction to intratumour heterogeneity.

We have known for a while that tumours are basically unique and different, barring very few cancers with a very simple aetiology (like retinoblastoma).This led to the formulation of the concept of personalised cancer medicine wherein therapies would be tailored to match the mutational makeup of a patient’s tumour.

You would think that was a great idea until someone realised that tumour evolution isn’t a ladderlike series of clonal expansions as imagined before.

The original conception of tumour evolution as a linear process.

However, if you actually look at what evolution is like, there are multiple species that evolve in parallel, and researchers started to investigate if this was the case with tumour biology as well, in line with what the only diagram in Charles Darwin’s magnum opus; The Origin of Species.

Parallel Evolution

Studies have since gone on to look at what happens to tumour cells with time, and they do duly evolve and there are multiple subclones with allele frequencies that change in response to chemotherapy, for instance.

 

Tumours change with time in response to chemotherapy.

Using DNA sequencing methods, Tim Ley and coworkers showed that tumour evolution with time could follow either of two models – either one of the subclones acquired new mutations in response to chemotherapy and evolved to form the relapse clone or a previously present clone was driven by the selective pressure of chemotherapy to expand into the relapse population. (Reference – http://www.nature.com/nature/journal/v481/n7382/full/nature10738.html )

While this study only showed that there was a genetically distinct relapse population compared to pre-chemotherapy disease, it did not focus on parallel evolution. But Charlie Swanton’s group at the CRUK’s LRI and Tariq Enver’ s group at the UCL Cancer Institute did.

Enver and colleagues used a technique called FISH to examine changes in the copy number of candidate genes (gains or losses in how many copies of a gene there are) in Acute Lymphoid Leukaemia. They found that there were multiple subclones present at the same time with copy number changes that were independently acquired in some cases and were part of a complex, branched hierarchy. (Reference – http://www.nature.com/nature/journal/v469/n7330/full/nature09650.html )

a) represents assumed linear architecture. b) represents an inferred complex architecture using FISH with moderate complexity. c) represents evidence for an even more complex architecture with eight subclones from a different patient.

Charlie Swanton’s group used multiregion sequencing to explore heterogeneity in renal cell carcinoma and again found evidence for a complex pattern of evolution with multiple subclones evolving in parallel. (Reference – http://www.nejm.org/doi/full/10.1056/nejmoa1113205 )

Self-explanatory. Charlie Swanton’s group found evidence for a complex, branched pattern of tumour evolution using an approach that combined deep sequencing with multiple biopsies of both the primary tumour and metastases.

And to make matters worse, we have emerging evidence for heterogeneity on an epigenetic level as well, and we might begin to have to consider the implications of that for tumour evolution. (Reference - http://nar.oxfordjournals.org/content/37/14/4603.short ).

We are therefore now required to consider multiple biopsies for every case and then develop strategies to find what drives all these subclones, and then devise therapies accordingly. Things have gotten just a little bit more complicated for personalised cancer medicine…

-Exploreable

 

Oh, trouble, stemness is thy name.

OK, just a few days ago, three major papers turned up that put a previously controversial idea about the way tumours are organised on a formidable footing, at least in cases of melanomas, gliomas and colorectal tumours in a mouse model.

We have been looking at how many cells are required to transmit a tumour from one mouse to another isogenic (genetically identical) mouse for a long time, and experiments in the fifties and early sixties led to the observation that you had to inject a certain number of cells to induce a tumour in half the injected animals, and this was way greater than one cell. However, there was also the fact that cancers were known to be clonal (originating from one cell) to contend with.

Putting the two ideas together led to the simple conclusion that not all transplanted tumour cells could induce the disease – you had to introduce so many tumour cells that one of them would be a cancer “stem cell” and could induce the tumour. This led to the formulation of the Cancer Stem Cell Hypothesis – that within a tumour there would be a small subpopulation of cells that could, if not eliminated completely, led to a return of the disease. This concept had become enshrined in the principles of radiotherapy but of course questions were raised in the molecular biology community, especially with respect to their presence in solid tumours. Skeptics took it upon themselves to point out that one could simply be looking at immune rejection or loss of viability as the reason why not all cells successfully transmitted the tumours.

The onus, then, was on proponents of the CSC hypothesis to show that there was such a thing as a resident subpopulation of cancer stem cells that led to recurrences. That evidence, it would appear, has finally come up, and in exquisite detail.

Cedric Blanplain and his group used a model of chemical carcinogenesis in mice where a chemical called DMBA is used to initiate a skin tumour and a substance called TPA is used to encourage the growth of the tumour in the site treated with DMBA. Eventually, that process results in a benign tumour called a papilloma which, after persistent TPA treatment, turns malignant. Papillomas are composed of a mass of terminally differentiated cells and an expanding population of undifferentiated, basal-epithelial cells. The number of the former stays fairly constant throughout but the latter expands.

Design of the TAM induced construct used to visualise clonal expansion. As you can see, the expression of the Yellow Fluorescent Protein is conditional to treatment with Tamoxifen, and individual basal cells can easily be identified. From Blanplain et al (See text for link)

To address whether there was a distinct CSC population that maintained the tumour, they used a very clever genetic engineering method to label individual cells – a construct that expressed Yellow Fluorescent Protein when the cells carrying them were exposed to Tamoxifen. They found that some of the labelled cells in the basal compartment expanded and also formed the non-basal differentiated structures in the tumour. In effect, they demonstrated that a subpopulation of cells could give rise to the entire tissue heterogeneity of tissue in the tumour – there was clear evidence for stemness in a population of tumour cells. They additionally found that the stem cell compartment in the tumours gave rise to progenitors capable of multiple fates and finally differentiated cells.
They were able to use microscopy to quantitatively evaluate what was happening and found that CSCs were dividing twice a day – extremely quickly compared to progenitors, which were dividing once in two days. Also, following Tamoxifen treatment, after three weeks only 20% of the originally YFP expressing cells were still expressing it (The basal ones were selectively labelled initially by using a basal specific promoter to drive gene expression)

Then of course we’ve had two more major studies. Parada and his group, again publishing in Nature showed that we had a similar thing going on with glioblastoma multforme, which has an abysmal prognosis. His group found that chemotherapy could wipe out most of the non-stem compartment but there was always a recurrence driven by a stem-like compartment of cells which escaped the effects of said chemotherapy. I find the work in question all the more intriguing because they started off with the hypothesis that these tumours were actually driven by modified versions of human adult neural stem cells in the Subventricular zone of the brain.

That hypothesis was of course well grounded in evidence – for they had identified what combination of mutations always resulted in tumours (using a conditional knock-out of genes that were known to be essential mutations in glioblastoma), and had been able to track those initiating cells to that location. Exploiting this, they used a transgenic construct encoding Green Fluorescent Protein and a Thymidylate Kinase (TK) protein driven by a Nestin promoter,which is active in adult neural stem cells (but not differentiated ones). TK expressing cells, in the presence of Ganciclovir, die if they are cycling, and this allows them to be ablated.

Telozolomide treatment kills proliferating cells, and this leads to subsequent repopulation, which is mediated by previously quiescent CSCs kicking off into division. (e) Reference – Parada et al, see text for link.

When they treated glioblastomas in these mice, they found that treatment with Telozolomide, an agent used to kill glioblastoma cells in clinical practise, was able to kill a mass of cells that was proliferating rapidly. Combining this with Ganciclovir resulted in enhanced cell kill by eliminating some of the stem cell compartment as well, but recurrence, they postulated, was inevitable because they found most of these cells to be quiescent (resting) and thus immune to drugs that hit proliferating cells (like TMZ). Having eliminated proliferating cells, though, the question was what would drive repopulation – would this be a random occurrence with any of the remaining cells kicking off? Or would the postulated CSCs be responsible? The reasoning they used to work this out was that the uptake of CldU and IdU, which are uracil analogues taken up only by proliferative cells, would be extraordinarily biased towards the GFP expressing CSC compartment if that were the source of repopulation following a pulse of TMZ treatment, and they promptly found it was indeed the case.

Treatment of Mice carrying the Nestin-TK-GFP constructs with Ganciclovir results in dramatically improved survival that is not seen in mice not carrying the construct when treated with the drug, or mice carrying the construct not treated with the drug. In some mice surviving after 10 weeks of treatment tumours have shrunk into low-grade lesions following the elimination of the CSC compartment.

And then came their piece de resistance’ – they showed that the only way to ensure long term survival in glioblastoma-afflicted mice was to eliminate the stem cell compartment altogether with ganciclovir treatment, and this led to massive survival benefits in GCV treated mice, and in some cases their brains only had low-grade lesions, benign vestiges of originally aggressive, malignant disease. A clincher if ever there was one for the CSC hypothesis.

The third paper, which I will not bore you with now, can be read here and features Hans Clevers and his group’s work showing that colorectal adenomas also depend on a CSC population that phenocopies normal intestinal crypt stem cells in terms of known surface markers. The great similarity of these CSCs with their normal adult counterparts worries me greatly, for it opens up the possibility that CSCs may be normal adult stem cells going rogue following a series of hits. Any therapy that is designed to hit these must also take care not to hit the normal stem cell compartments in tissues that are exposed.

Of course, there are still other solid tumours for which the CSC model has to be verified, but given that we have exquisite approaches like those described above to tease them out evidence either way shouldn’t be long coming.

What this means for therapy…
We will clearly have to make eliminating cancer stem cells a priority in dealing with cancer, while radiotherapy has the inherent potential to eliminate these most chemotherapy probably does not, and even with the advent of targeted therapies we will need to ensure that we don’t leave stem cells behind.
We have had some thinking heading this way already with the understanding that stem-like cells, as CSCs are otherwise known, may be sensitive to inhibitors of the Sonic hedgehog pathway which is hyperactivated in them, and there is some degree of preclinical evidence showing that this may be worthwhile investigating…

http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2610257/

That is all from me this time round.

Cheers.
Ankur.