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    a one-two punch

    Rice and MD Anderson researchers discover exciting new leukemia treatment

    Steven Devadanam
    Jul 6, 2022 | 5:45 pm
    Natasha Kirienko and Marina Konopleva
    Rice biochemist Natasha Kirienko and MD Anderson physician-scientist Marina Konopleva made the striking discovery.
    Photo by Jeff Fitlow

    Rice University and MD Anderson researchers have just discovered a potential one-two punch that could, they hope, knock out an insidious disease.

    A recent study in the journal Leukemia centers on potential new drugs that, with the help of other medications, can thwart leukemia cells.

    Specifically, Rice biochemist Natasha Kirienko and MD Anderson physician-scientist Marina Konopleva screened some 45,000 small-molecule compounds to find a few that targeted mitochondria, according to Rice press materials.

    In this innovative new study, the team selected eight of the most promising compounds, identified between five and 30 closely related analogs for each, and conducted tens of thousands of tests to systematically determine how toxic each analog was to leukemia cells. This was measured both when administered individually or in combination with existing chemotherapy drugs like doxorubicin, notes a release.

    Previously, Kirienko’s lab had shown the eight compounds targeted energy-producing machinery inside cells called mitochondria. Mitochondria, which work nonstop in every living cell, wear out with use. The chosen eight compounds induce mitophagy, which can be described as how cells decommission and recycle deficient and used-up.

    Notably, during times of extreme stress, cells can temporarily forgo mitophagy for an emergency energy boost. Previous research has shown leukemia cells have far more damaged mitochondria than healthy cells and are also more sensitive to mitochondrial damage than healthy cells.

    Thus, Kirienko and Konopleva reasoned that mitophagy-inducing drugs might weaken leukemia cells and make them more susceptible to chemotherapy. Synergy — using two or more drugs in treatment — is key.

    “The point of synergy is that there are concentrations, or dosages, where a single drug doesn't kill,” Kirienko said. “There is no death of healthy cells or cancer cells. But administering those same concentrations in combination can kill a considerable amount of cancer cells and still not affect healthy cells.”

    The team tested the toxicity of its mitophagy-inducing compounds and combinations against acute myeloid leukemia (AML) cells, the most commonly diagnosed form of the disease. They then tested the six most effective AML-killing compounds against other forms of leukemia, finding that five were also effective at killing acute lymphoblastic leukemia (ALL) cells and chronic myelogenous leukemia (CML) cells.

    Studies found all the mitophagy-inducing drugs caused far less harm to healthy cells.

    Finally, the researchers tested one of the most effective mitochondria-targeting compounds, PS127E, using a cutting-edge technique called a patient-derived xenograft (PDX) model. Also referred to as a “mouse clinical trial,” mice are implanted with cancer cells from a leukemia patient. As the cells grow, the mouse is exposed to a drug or combination of drugs as a closer-than-cells test of the treatment’s effect.

    Importantly, PDX tests on one compound, PS127E, showed it was effective at killing AML cells in mice, Rice notes, signaling promising news.

    “Although this is very promising, we’re still some distance from having a new treatment we can use in the clinic,” Kirienko added. “We still have a lot to discover. For example, we need to better understand how the drugs work in cells. We need to refine the dose we think would be best, and perhaps most importantly, we need to test on a wide variety of AML cancers. AML has a lot of variations, and we need to know which patients are most likely to benefit from this treatment and which are not. Only after we’ve done that work, which may take a few years, would we be able to start testing in humans.”

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    disrupting the workforce

    Texas makes top-10 list of states where AI could disrupt the most jobs

    Amber Heckler
    Sep 16, 2026 | 9:15 am
    Person working at a computer
    Photo by Christin Hume on Unsplash
    undefined

    A new nationwide report examining where AI could "reshape" the most jobs has ranked Texas No. 9 among the most at-risk states for AI job disruption.

    The new SmartAsset report compared all 50 states and the District of Columbia to calculate the estimated percent of the workforce employed in the 26 occupations with the highest AI exposure, as determined by June 2026 research by the Virginia Economic Information and Analytics Division.

    The findings revealed that 500,000 Texas workers, or 3.55 percent of the total workforce, are employed in occupations with "high exposure to potential AI disruption."

    This also places the Lone Star State as the 9th most at-risk state in the U.S. where AI exposure can lead to "declining hiring demand, wage pressure, task automation, and other forms of disruption."

    "States with larger concentrations of highly exposed occupations could experience more pronounced labor-market changes, particularly in roles where core tasks are more vulnerable to AI-driven restructuring," the report's author wrote.

    Texas' biggest cities, like Houston and Austin, are known for their thriving tech and business industries, and the study noted that many of the occupations within those sectors are the most at risk. The Virginia Economic Information and Analytics Division said the top five most AI-exposed occupations in the U.S. are: mathematicians, proofreaders, correspondence clerks, court reporters, and media and communication workers. Additionally, computer programmers, database administrators, web developers, telephone operators, and communications equipment operators round out the top 10 most at-risk positions.

    These are the 16 remaining occupations most exposed to AI disruption, in order:

    • Data Entry Keyers
    • Statistical Assistants
    • Office Support Workers
    • Interpreters and Translators
    • Database Architects
    • Software Quality Assurance Analysts
    • Medical Transcriptionists
    • Software Developers
    • Writers and Authors
    • Payroll Clerks
    • Web Designers
    • Miscellaneous Computer Occupations
    • Insurance Claims Processors
    • Telemarketers
    • Computer Numerically Controlled Tool Programmers
    • Bookkeeping and Accounting Clerks

    A separate SmartAsset report from April 2026 found about 20.5 percent of Texas workers use AI to do their jobs in some capacity. That trend will continue to shift further as employers and employees choose to adopt — or reject — AI implementation.

    Across the U.S., Washington topped the list as the state with the highest concentration of AI-exposed jobs, with nearly 5.7 percent of the state's workforce employed in the 26 most at-risk positions. SmartAsset said Washington's high prevalence of technology companies is a significant factor that skyrocketed the state to the top of the list.

    "Home to major technology companies including Microsoft, Amazon, T-Mobile and Expedia, the state has large numbers of computer programmers and software developers, two occupations with high exposure," the report said.

    Meanwhile, Mississippi ranked No. 51 with the lowest concentration of AI-exposed jobs in the nation. About 22,500 workers in Mississippi, or 1.93 percent of its workforce, are at risk for AI disruption.

    The top 10 states where AI could reshape the most jobs are:

    • No. 1 – Washington
    • No. 2 – Virginia
    • No. 3 – District of Columbia
    • No. 4 – California
    • No. 5 – Utah
    • No. 6 – Maryland
    • No. 7 – Colorado
    • No. 8 – New Hampshire
    • No. 9 – Texas
    • No. 10 – North Carolina
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