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Making glioblastoma more vulnerable to treatment

In the tough war against glioblastoma, scientists are taking a cue from viruses on how to make the aggressive cancer more vulnerable to treatment. Credit:…

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In the tough war against glioblastoma, scientists are taking a cue from viruses on how to make the aggressive cancer more vulnerable to treatment.

Credit: Michael Holahan, Augusta University

In the tough war against glioblastoma, scientists are taking a cue from viruses on how to make the aggressive cancer more vulnerable to treatment.

Their target is SAMHD1, a protein which can protect us from viral infections by destroying an essential building block of DNA that viruses and cancer need to replicate.

But they’ve found SAMHD1 also has the seemingly contradictory skill of helping repair double-strand breaks in the DNA that if unrepaired can be lethal to any cell, including a cancer cell, and if mended incorrectly can result in genetic mutations that produce cancer.

“When the DNA breaks, that is what actually interrupts the DNA replication and also the synthesis of proteins, so a double-strand break is lethal for cells,” says Waaqo Daddacha, PhD, cancer biologist in the Department of Biochemistry and Molecular Biology at the Medical College of Georgia.

Cancer cells, which are reproducing much more rapidly than most normal cells, are replicating even faster, so are impacted even more by these DNA breaks, which is why fundamental therapies like radiation and some chemotherapy drugs used to treat cancers make these lethal breaks.

However, the aggressive brain cancer quickly becomes treatment-resistant and the average survival remains at about 15 months, Daddacha says.

Now Daddacha and his colleagues report in the journal Cancers their surprising finding that in glioblastoma in humans both SAMHD1 and the essential DNA building block dNTP, which it can destroy, are highly expressed, indicating SAMHD1’s likely importance to the brain tumor’s aggressiveness and raising questions about what it’s doing there.

They were expecting high levels of dNTP because cancers need a ready supply of this building block to keep up their rapid pace of replicating and spreading, Daddacha says. Since dNTP levels were high, they were also expecting low levels of SAMHD1 would be present and that increasing its levels would help protect against glioblastoma.

They would find the opposite to be true, indicating that like with so many innate properties cancer usurps, glioblastoma likely alters the function of SAMHD1.

“Theoretically, since cancer cells divide rapidly and need more dNTP to do that, it seems logical that they would need less of this protein,” Daddacha says. It also seems logical that SAMHD1 would be protective against cancer, like it is against viruses, Daddacha says.                                         

Based on what they found, the scientists instead decided to reduce SAMHD1 levels and that’s where viruses’ skill at eliminating the multitasking protein came in.

Viruses deploy the protein viral protein X, or Vpx, to literally chop up SAMHD1 so they will have a ready supply of dNTP, a virus skill set first identified in HIV. So, the scientific team used a virus-like particle, called a vector, to deliver Vpx directly to the glioblastoma. These types of viral vectors already are used in people to deliver a variety of therapies, including some of the COVID-19 vaccines.

They found by reducing SAMHD1, Vpx sensitized the brain tumor cells to the chemotherapy drug veliparib, which helps block DNA damage repair by cancer cells, and slowed cell growth of this fast-growing brain tumor. It also made the tumor cells more sensitive to temozolomide, or TMZ, another chemotherapy drug often used for glioblastoma, which disrupts the cell’s DNA structure with the idea of killing the cell. By reducing SAMHD1, Vpx appeared to also reduce the innate skill called homologous recombination, which SAMHD1 promotes, and which enables a sound repair of double-strand breaks that also helps avoid cell mutations that could enable cancer.

Reducing SAMHD1 levels enabled the combination therapies, including radiation, used for glioblastoma to work more synergistically as intended, and reconfirmed SAMHD1’s role in enabling glioblastoma’s usual treatment resistance, the scientists write.  

In a mouse model with the human brain tumor cells, they found that reducing SAMHD1 slowed tumor growth and genetically knocking out SAMHD1 improved survival, the scientific team reports.                                                                                              

As another piece of the emerging puzzle, when the scientists removed SAMHD1, dNTP levels did increase some but not dramatically, like they have seen in some other cell types, more evidence that while SAMHD1 still has some impact on degrading this DNA building block, in this scenario, it clearly has yet another function, Daddacha says.

He suspects that the real benefit of high levels of SAMHD1 to glioblastoma is “self-protection” relying most on the protein’s innate ability to help repair double-strand DNA breaks.

There is overwhelming evidence that glioblastoma’s skill at repairing double-strand DNA breaks is key to its treatment resistance, which makes targeting the repair process logical, Daddacha says.

One of the ways cancer takes over a protein for its own purposes is by modifying its function so, for example, it could shift SAMHD1 into primarily DNA repair mode and reduce its natural ability to degrade dNTP, and Daddacha suspects glioblastoma is changing SAMHD1’s function.

“Clearly it’s using it to survive,” Daddacha says, which is likely at least a part of how glioblastoma is so tenacious, and a piece of the big puzzle needed to one day better treat the deadly cancer.

Their findings indicate that SAMHD1 can be targeted and eliminated using the viral protein Vpx in glioblastoma, Daddacha says, but notes that much work remains before the findings and the tool can be used to improve glioblastoma treatment.

Next steps include learning more about what SAMHD1 is doing in glioblastoma, and how high levels of it can coexist with high levels of dNTP, which it should destroy.

“We will try to discover if SAMHD1 is actually degrading dNTP in cancer cells,” says Daddacha. It may be that the high levels of SAMHD1 may also help keep high levels of dNTP in check, he says, because everything needs balance. 

They also are refining the safe, specific technique of delivering Vpx with the idea that one day it could also be used in people, and to determine if the technique impairs glioblastoma’s growth in other ways as well.

Glioblastoma is a lethal cancer that is always considered as an aggressive, stage 4 tumor at diagnosis with patients living an average of 15 months after diagnosis, Daddacha says. By the time symptoms like headaches and seizures emerge, the tumor already has progressed.  

Standard treatment includes surgery to remove as much of the tumor as possible, radiation and chemotherapy.

SAMHD1, or sterile alpha motif and HD domain-containing protein 1, is omnipresent in cells, including in our brain cells. It is believed to keep viruses like HIV-1 from replicating by cutting and destroying dNTPs, or deoxynucleoside triphosphates, which normal cells, cancer cells and viruses all need to reproduce. “We make our DNA with a chain of dNTPs,” Daddacha says. SAMHD1 also likely normally works to help regulate the amount of dNTPs the body needs, he says.

While working on his PhD at the University of Rochester, Daddacha was part of the team that discovered that SAMHD1 degrades the DNA building block dNTP. While doing his postdoctoral studies at Winship Cancer Institute at Emory University in Atlanta, he further explored SAMHD1’s role with DNA and found it actually has a key role in the DNA repair pathway. Daddacha joined the MCG faculty in 2019.

The research was funded by the National Cancer Institute.

Read the full study.


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February Employment Situation

By Paul Gomme and Peter Rupert The establishment data from the BLS showed a 275,000 increase in payroll employment for February, outpacing the 230,000…

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By Paul Gomme and Peter Rupert

The establishment data from the BLS showed a 275,000 increase in payroll employment for February, outpacing the 230,000 average over the previous 12 months. The payroll data for January and December were revised down by a total of 167,000. The private sector added 223,000 new jobs, the largest gain since May of last year.

Temporary help services employment continues a steep decline after a sharp post-pandemic rise.

Average hours of work increased from 34.2 to 34.3. The increase, along with the 223,000 private employment increase led to a hefty increase in total hours of 5.6% at an annualized rate, also the largest increase since May of last year.

The establishment report, once again, beat “expectations;” the WSJ survey of economists was 198,000. Other than the downward revisions, mentioned above, another bit of negative news was a smallish increase in wage growth, from $34.52 to $34.57.

The household survey shows that the labor force increased 150,000, a drop in employment of 184,000 and an increase in the number of unemployed persons of 334,000. The labor force participation rate held steady at 62.5, the employment to population ratio decreased from 60.2 to 60.1 and the unemployment rate increased from 3.66 to 3.86. Remember that the unemployment rate is the number of unemployed relative to the labor force (the number employed plus the number unemployed). Consequently, the unemployment rate can go up if the number of unemployed rises holding fixed the labor force, or if the labor force shrinks holding the number unemployed unchanged. An increase in the unemployment rate is not necessarily a bad thing: it may reflect a strong labor market drawing “marginally attached” individuals from outside the labor force. Indeed, there was a 96,000 decline in those workers.

Earlier in the week, the BLS announced JOLTS (Job Openings and Labor Turnover Survey) data for January. There isn’t much to report here as the job openings changed little at 8.9 million, the number of hires and total separations were little changed at 5.7 million and 5.3 million, respectively.

As has been the case for the last couple of years, the number of job openings remains higher than the number of unemployed persons.

Also earlier in the week the BLS announced that productivity increased 3.2% in the 4th quarter with output rising 3.5% and hours of work rising 0.3%.

The bottom line is that the labor market continues its surprisingly (to some) strong performance, once again proving stronger than many had expected. This strength makes it difficult to justify any interest rate cuts soon, particularly given the recent inflation spike.

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Mortgage rates fall as labor market normalizes

Jobless claims show an expanding economy. We will only be in a recession once jobless claims exceed 323,000 on a four-week moving average.

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Everyone was waiting to see if this week’s jobs report would send mortgage rates higher, which is what happened last month. Instead, the 10-year yield had a muted response after the headline number beat estimates, but we have negative job revisions from previous months. The Federal Reserve’s fear of wage growth spiraling out of control hasn’t materialized for over two years now and the unemployment rate ticked up to 3.9%. For now, we can say the labor market isn’t tight anymore, but it’s also not breaking.

The key labor data line in this expansion is the weekly jobless claims report. Jobless claims show an expanding economy that has not lost jobs yet. We will only be in a recession once jobless claims exceed 323,000 on a four-week moving average.

From the Fed: In the week ended March 2, initial claims for unemployment insurance benefits were flat, at 217,000. The four-week moving average declined slightly by 750, to 212,250


Below is an explanation of how we got here with the labor market, which all started during COVID-19.

1. I wrote the COVID-19 recovery model on April 7, 2020, and retired it on Dec. 9, 2020. By that time, the upfront recovery phase was done, and I needed to model out when we would get the jobs lost back.

2. Early in the labor market recovery, when we saw weaker job reports, I doubled and tripled down on my assertion that job openings would get to 10 million in this recovery. Job openings rose as high as to 12 million and are currently over 9 million. Even with the massive miss on a job report in May 2021, I didn’t waver.

Currently, the jobs openings, quit percentage and hires data are below pre-COVID-19 levels, which means the labor market isn’t as tight as it once was, and this is why the employment cost index has been slowing data to move along the quits percentage.  

2-US_Job_Quits_Rate-1-2

3. I wrote that we should get back all the jobs lost to COVID-19 by September of 2022. At the time this would be a speedy labor market recovery, and it happened on schedule, too

Total employment data

4. This is the key one for right now: If COVID-19 hadn’t happened, we would have between 157 million and 159 million jobs today, which would have been in line with the job growth rate in February 2020. Today, we are at 157,808,000. This is important because job growth should be cooling down now. We are more in line with where the labor market should be when averaging 140K-165K monthly. So for now, the fact that we aren’t trending between 140K-165K means we still have a bit more recovery kick left before we get down to those levels. 




From BLS: Total nonfarm payroll employment rose by 275,000 in February, and the unemployment rate increased to 3.9 percent, the U.S. Bureau of Labor Statistics reported today. Job gains occurred in health care, in government, in food services and drinking places, in social assistance, and in transportation and warehousing.

Here are the jobs that were created and lost in the previous month:

IMG_5092

In this jobs report, the unemployment rate for education levels looks like this:

  • Less than a high school diploma: 6.1%
  • High school graduate and no college: 4.2%
  • Some college or associate degree: 3.1%
  • Bachelor’s degree or higher: 2.2%
IMG_5093_320f22

Today’s report has continued the trend of the labor data beating my expectations, only because I am looking for the jobs data to slow down to a level of 140K-165K, which hasn’t happened yet. I wouldn’t categorize the labor market as being tight anymore because of the quits ratio and the hires data in the job openings report. This also shows itself in the employment cost index as well. These are key data lines for the Fed and the reason we are going to see three rate cuts this year.

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Inside The Most Ridiculous Jobs Report In History: Record 1.2 Million Immigrant Jobs Added In One Month

Inside The Most Ridiculous Jobs Report In History: Record 1.2 Million Immigrant Jobs Added In One Month

Last month we though that the January…

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Inside The Most Ridiculous Jobs Report In History: Record 1.2 Million Immigrant Jobs Added In One Month

Last month we though that the January jobs report was the "most ridiculous in recent history" but, boy, were we wrong because this morning the Biden department of goalseeked propaganda (aka BLS) published the February jobs report, and holy crap was that something else. Even Goebbels would blush. 

What happened? Let's take a closer look.

On the surface, it was (almost) another blockbuster jobs report, certainly one which nobody expected, or rather just one bank out of 76 expected. Starting at the top, the BLS reported that in February the US unexpectedly added 275K jobs, with just one research analyst (from Dai-Ichi Research) expecting a higher number.

Some context: after last month's record 4-sigma beat, today's print was "only" 3 sigma higher than estimates. Needless to say, two multiple sigma beats in a row used to only happen in the USSR... and now in the US, apparently.

Before we go any further, a quick note on what last month we said was "the most ridiculous jobs report in recent history": it appears the BLS read our comments and decided to stop beclowing itself. It did that by slashing last month's ridiculous print by over a third, and revising what was originally reported as a massive 353K beat to just 229K,  a 124K revision, which was the biggest one-month negative revision in two years!

Of course, that does not mean that this month's jobs print won't be revised lower: it will be, and not just that month but every other month until the November election because that's the only tool left in the Biden admin's box: pretend the economic and jobs are strong, then revise them sharply lower the next month, something we pointed out first last summer and which has not failed to disappoint once.

To be fair, not every aspect of the jobs report was stellar (after all, the BLS had to give it some vague credibility). Take the unemployment rate, after flatlining between 3.4% and 3.8% for two years - and thus denying expectations from Sahm's Rule that a recession may have already started - in February the unemployment rate unexpectedly jumped to 3.9%, the highest since February 2022 (with Black unemployment spiking by 0.3% to 5.6%, an indicator which the Biden admin will quickly slam as widespread economic racism or something).

And then there were average hourly earnings, which after surging 0.6% MoM in January (since revised to 0.5%) and spooking markets that wage growth is so hot, the Fed will have no choice but to delay cuts, in February the number tumbled to just 0.1%, the lowest in two years...

... for one simple reason: last month's average wage surge had nothing to do with actual wages, and everything to do with the BLS estimate of hours worked (which is the denominator in the average wage calculation) which last month tumbled to just 34.1 (we were led to believe) the lowest since the covid pandemic...

... but has since been revised higher while the February print rose even more, to 34.3, hence why the latest average wage data was once again a product not of wages going up, but of how long Americans worked in any weekly period, in this case higher from 34.1 to 34.3, an increase which has a major impact on the average calculation.

While the above data points were examples of some latent weakness in the latest report, perhaps meant to give it a sheen of veracity, it was everything else in the report that was a problem starting with the BLS's latest choice of seasonal adjustments (after last month's wholesale revision), which have gone from merely laughable to full clownshow, as the following comparison between the monthly change in BLS and ADP payrolls shows. The trend is clear: the Biden admin numbers are now clearly rising even as the impartial ADP (which directly logs employment numbers at the company level and is far more accurate), shows an accelerating slowdown.

But it's more than just the Biden admin hanging its "success" on seasonal adjustments: when one digs deeper inside the jobs report, all sorts of ugly things emerge... such as the growing unprecedented divergence between the Establishment (payrolls) survey and much more accurate Household (actual employment) survey. To wit, while in January the BLS claims 275K payrolls were added, the Household survey found that the number of actually employed workers dropped for the third straight month (and 4 in the past 5), this time by 184K (from 161.152K to 160.968K).

This means that while the Payrolls series hits new all time highs every month since December 2020 (when according to the BLS the US had its last month of payrolls losses), the level of Employment has not budged in the past year. Worse, as shown in the chart below, such a gaping divergence has opened between the two series in the past 4 years, that the number of Employed workers would need to soar by 9 million (!) to catch up to what Payrolls claims is the employment situation.

There's more: shifting from a quantitative to a qualitative assessment, reveals just how ugly the composition of "new jobs" has been. Consider this: the BLS reports that in February 2024, the US had 132.9 million full-time jobs and 27.9 million part-time jobs. Well, that's great... until you look back one year and find that in February 2023 the US had 133.2 million full-time jobs, or more than it does one year later! And yes, all the job growth since then has been in part-time jobs, which have increased by 921K since February 2023 (from 27.020 million to 27.941 million).

Here is a summary of the labor composition in the past year: all the new jobs have been part-time jobs!

But wait there's even more, because now that the primary season is over and we enter the heart of election season and political talking points will be thrown around left and right, especially in the context of the immigration crisis created intentionally by the Biden administration which is hoping to import millions of new Democratic voters (maybe the US can hold the presidential election in Honduras or Guatemala, after all it is their citizens that will be illegally casting the key votes in November), what we find is that in February, the number of native-born workers tumbled again, sliding by a massive 560K to just 129.807 million. Add to this the December data, and we get a near-record 2.4 million plunge in native-born workers in just the past 3 months (only the covid crash was worse)!

The offset? A record 1.2 million foreign-born (read immigrants, both legal and illegal but mostly illegal) workers added in February!

Said otherwise, not only has all job creation in the past 6 years has been exclusively for foreign-born workers...

Source: St Louis Fed FRED Native Born and Foreign Born

... but there has been zero job-creation for native born workers since June 2018!

This is a huge issue - especially at a time of an illegal alien flood at the southwest border...

... and is about to become a huge political scandal, because once the inevitable recession finally hits, there will be millions of furious unemployed Americans demanding a more accurate explanation for what happened - i.e., the illegal immigration floodgates that were opened by the Biden admin.

Which is also why Biden's handlers will do everything in their power to insure there is no official recession before November... and why after the election is over, all economic hell will finally break loose. Until then, however, expect the jobs numbers to get even more ridiculous.

Tyler Durden Fri, 03/08/2024 - 13:30

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