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TechCrunch
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Tesla’s Texas factory workforce reportedly shrunk 22% in 2025
Tesla's headcount fell from 21,191 workers to 16,506 workers in 2025, according to a report, as it grappled with its second straight year of declining sales.
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TechCrunch
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OpenAI executive shuffle includes new role for COO Brad Lightcap to lead ‘special projects’
In addition to Lightcap's new role, OpenAI CMO Kate Rouch will be stepping away from the company to focus on cancer recovery, with a plan to return when her health allows.
OpenAI executive shuffle includes new role for COO Brad Lightcap to lead ‘special projects’
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TechCrunch
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Anthropic buys biotech startup Coefficient Bio in $400M deal: Reports
Anthropic has purchased the stealth biotech AI startup Coefficient Bio in a $400 million stock deal, according to The Information and Eric Newcomer.
Anthropic buys biotech startup Coefficient Bio in $400M deal: Reports
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TechCrunch
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Anthropic ramps up its political activities with a new PAC
With the midterms right around the corner, the new group is positioned to back candidates who support the AI company's policy agenda.
Anthropic ramps up its political activities with a new PAC
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TechCrunch
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AI companies are building huge natural gas plants to power data centers. What could go wrong?
Meta, Microsoft, and Google are all betting big on new natural gas power plants to run their AI data centers. They may regret it.
AI companies are building huge natural gas plants to power data centers. What could go wrong?
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TechCrunch
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People would rather have an Amazon warehouse in their backyard than a data center
A new poll shows that the debate over data centers is far from settled.
People would rather have an Amazon warehouse in their backyard than a data center
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MIT Technology Review
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Four things we’d need to put data centers in space
MIT Technology Review Explains: Let our writers untangle the complex, messy world of technology to help you understand what’s coming next. You can read more from the series here. In January, Elon Musk’s SpaceX filed an application with the US Federal Communications Commission to launch up to one million data centers into Earth’s orbit. The goal? To fully unleash the potential of AI without triggering an environmental crisis on Earth. But could it work? SpaceX is the latest in a string of h
Four things we’d need to put data centers in space
MIT Technology Review Explains: Let our writers untangle the complex, messy world of technology to help you understand what’s coming next. You can read more from the series here.
In January, Elon Musk’s SpaceX filed an application with the US Federal Communications Commission to launch up to one million data centers into Earth’s orbit. The goal? To fully unleash the potential of AI without triggering an environmental crisis on Earth. But could it work?
SpaceX is the latest in a string of high-tech companies extolling the potential of orbital computing infrastructure. Last year, Amazon founder Jeff Bezos said that the tech industry will move toward large-scale computing in space. Google has plans to loft data-crunching satellites, aiming to launch a test constellation of 80 as early as next year. And last November Starcloud, a startup based in Washington State, launched a satellite fitted with a high-performance Nvidia H100 GPU, marking the first orbital test of an advanced AI chip. The company envisions orbiting data centers as large as those on Earth by 2030.
Proponents believe that putting data centers in space makes sense. The current AI boom is straining energy grids and adding to the demand for water, which is needed to cool the computers. Communities in the vicinity of large-scale data centers worry about increasing prices for those resources as a result of the growing demand, among other issues.
In space, advocates say, the water and energy problems would be solved. In constantly illuminated sun-synchronous orbits, space-borne data centers would have uninterrupted access to solar power. At the same time, the excess heat they produce would be easily expelled into the cold vacuum of space. And with the cost of space launches decreasing, and mega-rockets such as SpaceX’s Starship promising to push prices even lower, there could be a point at which moving the world’s data centers into space makes sound business sense. Detractors, on the other hand, tell a different story and point to a variety of technological hurdles, though some say it’s possible they may be surmountable in the not-so-distant future. Here are four of the must-haves we’d need to make space-based data centers a reality.
A way to carry away heat
AI data centers produce a lot of heat. Space might seem like a great place to dispel that heat without using up massive amounts of water. But it’s not so simple. To get the power needed to run 24-7, a space-based data center would have to be in a constantly illuminated orbit, circling the planet from pole to pole, and never hide in Earth’s shadow. And in that orbit, the temperature of the equipment would never drop below 80 °C, which is way too hot for electronics to operate safely in the long term.
Getting the heat out of such a system is surprisingly challenging. “Thermal management and cooling in space is generally a huge problem,” says Lilly Eichinger, CEO of the Austrian space tech startup Satellives.
On Earth, heat dissipates mostly through the natural process of convection, which relies on the movement of gases and liquids like air and water. In the vacuum of space, heat has to be removed through the far less efficient process of radiation. Safely removing the heat produced by the computers, as well as what’s absorbed from the sun, requires large radiative surfaces. The bulkier the satellite, the harder it is to send all the heat inside it out into space.
But Yves Durand, former director of technology at the European aerospace giant Thales Alenia Space, says that technology already exists to tackle the problem.
The company previously developed a system for large telecommunications satellites that can pipe refrigerant fluid through a network of tubing using a mechanical pump, ultimately transferring heat from within a spacecraft to radiators on the exterior. Durand led a 2024 feasibility study on space-based data centers, which found that although challenges exist, it should be possible for Europe to put gigawatt-scale data centers (on par with the largest Earthbound facilities) into orbit before 2050. These would be considerably larger than those envisioned by SpaceX, featuring solar arrays hundreds of meters in size—larger than the International Space Station.
Computer chips that can withstand a radiation onslaught
The space around Earth is constantly battered by cosmic particles and lashed by solar radiation. On Earth’s surface, humans and their electronic devices are protected from this corrosive soup of charged particles by the planet’s atmosphere and magnetosphere. But the farther away from Earth you venture, the weaker that protection becomes. Studies show that aircraft crews have a higher risk of developing cancer because of their frequent exposure to high radiation at cruising altitude, where the atmosphere is thin and less protective.
Electronics in space are at risk of three types of problems caused by high radiation levels, says Ken Mai, a principal systems scientist in electrical and computer engineering at Carnegie Mellon University. Phenomena known as single-event upsets can cause bit flips and corrupt stored data when charged particles hit chips and memory devices. Over time, electronics in space accumulate damage from ionizing radiation that degrades their performance. And sometimes a charged particle can strike the component in a way that physically displaces atoms on the chip, creating permanent damage, Mai explains.
Traditionally, computers launched to space had to undergo years of testing and were specifically designed to withstand the intense radiation present in Earth’s orbit. These space-hardened electronics are much more expensive, though, and their performance is also years behind the state-of-the-art devices for Earth-based computing. Launching conventional chips is a gamble. But Durand says cutting-edge computer chips use technologies that are by default more resistant to radiation than past systems. And in mid-March, Nvidia touted hardware, including a new GPU, that is “bringing AI compute to orbital data centers.”
Nvidia’s head of edge AI marketing, Chen Su, told MIT Technology Review, that “Nvidia systems are inherently commercial off the shelf, with radiation resilience achieved at the system level rather than through radiation‑hardened silicon alone.” He added that satellite makers increase the chips’ resiliency with the help of shielding, advanced software for error detection, and architectures that combine the consumer-grade devices with bespoke, hardened technologies.
Still, Mai says that the data-crunching chips are only one issue. The data centers would also need memory and storage devices, both of which are vulnerable to damage by excessive radiation. And operators would need the ability to swap things out or adapt when issues arise. The feasibility and affordability of using robots or astronaut missions for maintenance is a major question mark hanging over the idea of large-scale orbiting data centers.
“You not only need to throw up a data center to space that meets your current needs; you need redundancy, extra parts, and reconfigurability, so when stuff breaks, you can just change your configuration and continue working,” says Mai. “It’s a very challenging problem because on one hand you have free energy and power in space, but there are a lot of disadvantages. It’s quite possible that those problems will outweigh the advantages that you get from putting a data center into space.”
In addition to the need for regular maintenance, there’s also the potential for catastrophic loss. During periods of intense space weather, satellites can be flooded with enough radiation to kill all their electronics. The sun has just passed the most active phase of its 11-year cycle with relatively little impact on satellites. Still, experts warn that since the space age began, the planet has not experienced the worst the sun is capable of. Many doubt whether the low-cost new space systems that dominate Earth’s orbits today are prepared for that.
A plan to dodge space debris
Both large-scale orbiting data centers such as those envisioned by Thales Alenia Space and the mega-constellations of smaller satellites as proposed by SpaceX give a headache to space sustainability experts. The space around Earth is already quite crowded with satellites. Starlink satellites alone perform hundreds of thousands of collision avoidance maneuvers every year to dodge debris and other spacecraft. The more stuff in space, the higher the likelihood of a devastating collision that would clutter the orbit with thousands of dangerous fragments.
Large structures with hundreds of square meters of solar arrays would quickly suffer damage from small pieces of space debris and meteorites, which would over time degrade the performance of their solar panels and create more debris in orbit. Operating one million satellites in low Earth orbit, the region of space at the altitude of up to 2,000 kilometers, might be impossible to do safely unless all satellites in that area are part of the same network so they can communicate effectively to maneuver around each other, Greg Vialle, the founder of the orbital recycling startup Lunexus Space, told MIT Technology Review.
“You can fit roughly four to five thousand satellites in one orbital shell,” Vialle says. “If you count all the shells in low Earth orbit, you get to a number of around 240,000 satellites maximum.”
And spacecraft must be able to pass each other at a safe distance to avoid collisions, he says.
“You also need to be able to get stuff up to higher orbits and back down to de-orbit,” he adds. “So you need to have gaps of at least 10 kilometers between the satellites to do that safely. Mega-constellations like Starlink can be packed more tightly because the satellites communicate with each other. But you can’t have one million satellites around Earth unless it’s a monopoly.”
On top of that, Starlink would likely want to regularly upgrade its orbiting data centers with more modern technology. Replacing a million satellites perhaps every five years would mean even more orbital traffic—and it could increase the rate of debris reentry into Earth’s atmosphere from around three or four pieces of junk a day to about one every three minutes, according to a group of astronomers who filed objections against SpaceX’s FCC application. Some scientists are concerned that reentering debris could damage the ozone layer and alter Earth’s thermal balance.
Economical launch and assembly
The longer hardware survives in orbit, the better the return on investment. But for orbital data centers to make economic sense, companies will have to find a relatively cheap way to get that hardware in orbit. SpaceX is betting on its upcoming Starship mega-rocket, which will be able to carry up to six times as much payload as the current workhorse, Falcon 9. The Thales Alenia Space study concluded that if Europe were to build its own orbital data centers, it would have to develop a similarly potent launcher.
But launch is only part of the equation. A large-scale orbital data center won’t fit in a rocket—even a mega-rocket. It will need to be assembled in orbit. And that will likely require advanced robotic systems that do not exist yet. Various companies have conducted Earth-based tests with precursors of such systems, but they are still far from real-world use.
Durand says that in the short term, smaller-scale data centers are likely to establish themselves as an integral part of the orbital infrastructure, by processing images from Earth-observing satellites directly in space without having to send them to Earth. That would be a huge help for companies selling insights from space, as many of these data sets are extremely large, and competition for opportunities to downlink them to Earth for processing via ground stations is growing.
“The good thing with orbital data centers is that you can start with small servers and gradually increase and build up larger data centers,” says Durand. “You can use modularity. You can learn little by little and gradually develop industrial capacity in space. We have all the technology, and the demand for space-based data processing infrastructure is huge, so it makes sense to think about it.”
Smaller facilities probably won’t do much to offset the strain that terrestrial data centers are placing on the planet’s water and electricity, though. That vision of the future might take decades to come to fruition, some critics think—if it even gets off the ground at all.
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InfoQ

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Swift 6.3 Stabilizes Android SDK, Extends C Interop, and More
Swift 6.3 advances Swift cross-platform story with official Android support, improves significantly C interoperability through the new @c attribute, and continues extending embedded programming support. It also strengthens the ecosystem with a unified build system direction and gives developers more low-level performance control. By Sergio De Simone
Swift 6.3 Stabilizes Android SDK, Extends C Interop, and More
Swift 6.3 advances Swift cross-platform story with official Android support, improves significantly C interoperability through the new @c attribute, and continues extending embedded programming support. It also strengthens the ecosystem with a unified build system direction and gives developers more low-level performance control.
By Sergio De Simone-
TechCrunch
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The final days of the Tesla Model X and S are here. All bets are on the Cybercab.
It's a new era for Tesla — and one that will rely on its ability to launch the Cybercab and mass-produce the Optimus robot.
The final days of the Tesla Model X and S are here. All bets are on the Cybercab.
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TechCrunch
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Europe’s cyber agency blames hacking gangs for massive data breach and leak
CERT-EU blamed the cybercrime group TeamPCP for the recent hack on the European Commission, and said the notorious ShinyHunters gang was responsible for leaking the stolen data online.
Europe’s cyber agency blames hacking gangs for massive data breach and leak
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TechCrunch
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The Facebook insider building content moderation for the AI era
Moonbounce has raised $12 million to grow its AI control engine that converts content moderation policies into consistent, predictable AI behavior.
The Facebook insider building content moderation for the AI era
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ORA FOIA Electronic Reading Room RSS Feed
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CSL Behring GmbH - 4/18/2024
CSL Behring GmbH - 4/18/2024. Country: Germany. Record Type: 483
CSL Behring GmbH - 4/18/2024
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ORA FOIA Electronic Reading Room RSS Feed
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Hikal Limited - 2/7/2025
Hikal Limited - 2/7/2025. Country: India. Record Type: 483
Hikal Limited - 2/7/2025
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InfoQ

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Open Source Security Tool Trivy Hit by Supply Chain Attack, Prompting Urgent Industry Response
A major security incident affecting the widely used open source vulnerability scanner Trivy has exposed critical weaknesses in software supply chain security, after maintainers confirmed that a malicious release was briefly distributed to users. By Craig Risi
Open Source Security Tool Trivy Hit by Supply Chain Attack, Prompting Urgent Industry Response
A major security incident affecting the widely used open source vulnerability scanner Trivy has exposed critical weaknesses in software supply chain security, after maintainers confirmed that a malicious release was briefly distributed to users.
By Craig Risi-
InfoQ

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Module Federation 2.0 Reaches Stable Release with Wider Support outside of Webpack
Module Federation 2.0, an open-source micro-frontend mechanism introduced with webpack 5, offers significant updates including dynamic TypeScript type hints, decoupled runtime layers, and Node.js support. It enhances compatibility across various bundlers and frameworks. Key features include a Side Effect Scanner and easier integration for remote modules, addressing previous adoption challenges. By Daniel Curtis
Module Federation 2.0 Reaches Stable Release with Wider Support outside of Webpack
Module Federation 2.0, an open-source micro-frontend mechanism introduced with webpack 5, offers significant updates including dynamic TypeScript type hints, decoupled runtime layers, and Node.js support. It enhances compatibility across various bundlers and frameworks. Key features include a Side Effect Scanner and easier integration for remote modules, addressing previous adoption challenges.
By Daniel Curtis-
MRD
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Liquid biopsies using circulating tumor DNA for surveillance of gastrointestinal cancers in Hispanics: first real-world data report
ESMO Real World Data Digit Oncol. 2026 Jan 14;11:100652. doi: 10.1016/j.esmorw.2025.100652. eCollection 2026 Mar.ABSTRACTBACKGROUND: Malignant tumors release circulating tumor DNA (ctDNA) into the bloodstream, providing insights into tumor-specific mutations and pathways driving cancer progression. ctDNA testing is currently approved as a type of liquid biopsy to monitor disease burden and detect minimal residual disease (MRD). This study aimed to evaluate the adoption of ctDNA testing in a comm
Liquid biopsies using circulating tumor DNA for surveillance of gastrointestinal cancers in Hispanics: first real-world data report
ESMO Real World Data Digit Oncol. 2026 Jan 14;11:100652. doi: 10.1016/j.esmorw.2025.100652. eCollection 2026 Mar.
ABSTRACT
BACKGROUND: Malignant tumors release circulating tumor DNA (ctDNA) into the bloodstream, providing insights into tumor-specific mutations and pathways driving cancer progression. ctDNA testing is currently approved as a type of liquid biopsy to monitor disease burden and detect minimal residual disease (MRD). This study aimed to evaluate the adoption of ctDNA testing in a community oncology practice and assess the overall diagnostic performance of ctDNA and its association with disease progression in stage IV colorectal cancer (CRC), as determined by imaging studies.
PATIENTS AND METHODS: This retrospective study analyzed the medical records of 88 patients with gastrointestinal cancers (80 CRC, 5 gastric, 3 esophageal) who underwent ctDNA molecular testing between January 2020 and April 2022. Electronic medical records from patients aged ≥21 years who had two or more ctDNA tests with concurrent imaging studies or a pathology-confirmed CRC, gastric cancer, or esophageal cancer diagnosis were evaluated.
RESULTS: At baseline, 47 (53.4%) patients had negative and 41 (46.6%) had positive results. Most patients had CRC (90.1%). In stage IV CRC, ctDNA was increasing before radiologic progression in all documented cases (100%), with a median lead time of 2.5 months (range 0.5-15 months). In early-stage CRC (I-III), ctDNA preceded radiologic progression in 40% of cases, with a median lead time of 6 months (range 6-10 months).
CONCLUSIONS: Using real-world data, we report the first-time results of the ctDNA testing adoption in a community oncology setting among patients with gastrointestinal cancers, predominantly CRC. Our findings suggest that integration of ctDNA testing may support disease monitoring in routine clinical practice.
PMID:41930304 | PMC:PMC13040887 | DOI:10.1016/j.esmorw.2025.100652
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(Multiomics OR Omics) AND (Pancreatic)
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Integrating liquid biopsies and artificial intelligence for early cancer detection: A systematic review and meta-analysis
Eur J Cancer. 2026 Mar 24;239:116699. doi: 10.1016/j.ejca.2026.116699. Online ahead of print.ABSTRACTINTRODUCTION: The latest generation of liquid biopsies incorporates multi-omic features, including genomics, methylomics, and fragmentomics. Machine learning (ML) approaches have been proposed to synthesize these complex biological data for the development of diagnostic classifiers. This study aims to evaluate the integration of ML with circulating cell-free DNA (cfDNA) analysis for early cancer
Integrating liquid biopsies and artificial intelligence for early cancer detection: A systematic review and meta-analysis
Eur J Cancer. 2026 Mar 24;239:116699. doi: 10.1016/j.ejca.2026.116699. Online ahead of print.
ABSTRACT
INTRODUCTION: The latest generation of liquid biopsies incorporates multi-omic features, including genomics, methylomics, and fragmentomics. Machine learning (ML) approaches have been proposed to synthesize these complex biological data for the development of diagnostic classifiers. This study aims to evaluate the integration of ML with circulating cell-free DNA (cfDNA) analysis for early cancer detection.
METHODS: Medline, Embase, Cochrane, and Web of Science were searched in July 2025. Eligible studies combined ML and cfDNA features to distinguish cancer patients (stages I-III) from non-cancer controls. Summary diagnostic performance metrics and their 95% confidence intervals (CI) were calculated.
RESULTS: The study included 109 articles permitting analyses for lung (n = 34), liver (n = 29), colorectal (n = 28), pancreatic (n = 16), breast (n = 17), esophageal (n = 12), ovarian (n = 13), gastric (n = 9), head and neck (n = 4), and mixed (n = 27) cancer types. Specificity was consistently high across all tumor types and stages (94%-99%). Sensitivity ranged from 72% to 92% for stage I-III, 44-91% for stage I, 71-98% for stage II and 83-99% for stage III. In the pooled study population, neural networks (90%, 95% CI: 81%-95%), random forest (86%, 95% CI: 77%-92%) and heterogeneous ensemble learning (85%, 95% CI: 79%-89%) demonstrated the highest sensitivity. The stratified analysis by classifier feature revealed 86% (95% CI: 80%-90%) sensitivity for fragmentation and 81% (95% CI: 76%-85%) for methylation, with 92%-96% specificity.
CONCLUSION: ML and cfDNA profiling show potential for early cancer detection, with ensemble methods, neural networks and random forests achieving the best overall performance. Fragmentomic features provide the highest sensitivity.
PMID:41930854 | DOI:10.1016/j.ejca.2026.116699
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(Multiomics OR Omics) AND (Pancreatic)
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Multi-omics and experimental validation identify USP54 as a prognostic deubiquitinase promoting pancreatic ductal adenocarcinoma progression within the immune microenvironment
Front Immunol. 2026 Mar 18;17:1791707. doi: 10.3389/fimmu.2026.1791707. eCollection 2026.ABSTRACTBACKGROUND: Pancreatic ductal adenocarcinoma (PDAC) is a highly lethal malignancy with a complex tumor ecosystem that contributes to its progression. Deubiquitinases (DUBs) are vital regulators in cancer. However, the overall activity of DUBs and their role in driving PDAC progression within immune microenvironment remain largely unknown.METHODS: We employed an integrative multi-omics strategy combin
Multi-omics and experimental validation identify USP54 as a prognostic deubiquitinase promoting pancreatic ductal adenocarcinoma progression within the immune microenvironment
Front Immunol. 2026 Mar 18;17:1791707. doi: 10.3389/fimmu.2026.1791707. eCollection 2026.
ABSTRACT
BACKGROUND: Pancreatic ductal adenocarcinoma (PDAC) is a highly lethal malignancy with a complex tumor ecosystem that contributes to its progression. Deubiquitinases (DUBs) are vital regulators in cancer. However, the overall activity of DUBs and their role in driving PDAC progression within immune microenvironment remain largely unknown.
METHODS: We employed an integrative multi-omics strategy combining machine learning (ML) on bulk transcriptomic data, single-cell RNA sequencing and spatial transcriptomic profiling. We applied Coxnet and Fuzzy SVM for prognostic modeling, inferCNV for malignant cell identification, SCENIC for transcription factor regulon analysis, LIANA+ for inferring inter-cellular communication networks and cell2location for spatial deconvolution. USP54 expression was detected by real-time quantitative PCR, western blotting and immunohistochemistry. USP54 function was validated through in vitro and in vivo assays.
RESULTS: ML-based pathway analysis revealed post-translational modification as a major prognostic category, within which elevated DUBs activity emerged as an independent adverse prognostic factor. At the single-cell level, USP54 was upregulated along the trajectory of malignant ductal cells and correlated with an inflamed tumor microenvironment. Cell-cell communication analysis predicted signaling from monocytes/macrophages to tumor cells via the THBS1-integrin ligand-receptor pair. This immune-derived signaling potentially converged on KLF5-positive tumor cells, with KLF5 identified as a putative transcriptional activator of USP54. Spatial transcriptomics validated the co-localization of USP54 expression, elevated DUB activity, and KRAS signaling within specific tumor niches adjacent to THBS1-enriched immune regions. High USP54 expression was frequently observed in PDAC tissues and associated with poor patient survival. More importantly, in both BxPC-3 and PANC-1 cell lines, USP54 knockdown suppressed cell proliferation and metastasis, whereas its overexpression enhanced these malignant phenotypes. Subcutaneous xenograft growth and tail vein injection experiments validated these findings in vivo.
CONCLUSIONS: Our comprehensive multi-omics analysis and experimental validation identify the deubiquitinase USP54 as a novel promoter of PDAC progression within a spatially organized tumor-immune microenvironment. These findings suggest USP54 as both a candidate prognostic biomarker and a potential therapeutic target for this lethal malignancy.
PMID:41929495 | PMC:PMC13038871 | DOI:10.3389/fimmu.2026.1791707
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(Multiomics OR Omics) AND (Lung OR gastric OR Hepatocellular)
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Unraveling the complexity of <em>Helicobacter pylori</em>: Virulence factors, biofilm formation, and antibiotic resistance
J Physiol Pharmacol. 2026 Feb;77(1):xxx. doi: 10.26402/jpp.2026.1.04. Epub 2026 Apr 2.ABSTRACTHelicobacter pylori infection remains one of the most common chronic bacterial infections worldwide and represents a major etiological factor in diseases of the upper gastrointestinal tract, including chronic gastritis, peptic ulcer disease, and gastric cancer. Despite continuous refinement of eradication regimens based on antibiotics and proton pump inhibitors, treatment efficacy has progressively decl
Unraveling the complexity of <em>Helicobacter pylori</em>: Virulence factors, biofilm formation, and antibiotic resistance
J Physiol Pharmacol. 2026 Feb;77(1):xxx. doi: 10.26402/jpp.2026.1.04. Epub 2026 Apr 2.
ABSTRACT
Helicobacter pylori infection remains one of the most common chronic bacterial infections worldwide and represents a major etiological factor in diseases of the upper gastrointestinal tract, including chronic gastritis, peptic ulcer disease, and gastric cancer. Despite continuous refinement of eradication regimens based on antibiotics and proton pump inhibitors, treatment efficacy has progressively declined, primarily due to increasing antimicrobial resistance and the ability of H. pylori to form biofilm structures. Accumulating evidence indicates that biofilm formation, bacterial virulence, and modulation of host immune responses constitute an interconnected network of mechanisms that collectively promote bacterial persistence and therapeutic failure. This review outlines an integrated pathogenic framework for H. pylori, focusing on the functional interplay between key virulence determinants - including CagA, VacA, neutrophil-activating protein (NAP), high-temperature requirement A (HtrA), IceA, DupA, urease, catalase, and adhesins - and their contribution to biofilm development, epithelial barrier disruption, and sustained gastric inflammation. Biofilm formation is highlighted as a central adaptive strategy that not only limits antibiotic penetration but also induces metabolic dormancy, enhances efflux pump activity, and increases tolerance to oxidative stress and immune-mediated clearance, thereby significantly reducing the effectiveness of standard eradication therapies. In addition, the review incorporates novel insights derived from recent high-throughput omics approaches, including genomics, transcriptomics, proteomics, and metabolomics, which have advanced the understanding of H. pylori pathogenicity, adaptive responses, and resistance mechanisms at a systems level. A major emphasis is placed on recent advances in therapeutic strategies that extend beyond conventional antibiotic-based regimens. The review summarizes current pharmacological approaches, including the use of more potent acid-suppressive agents such as vonoprazan, susceptibility-guided and personalized eradication therapies, and emerging anti-biofilm interventions, including antimicrobial peptides, phytochemicals, small-molecule inhibitors, and enzymatic degradation of the extracellular polymeric matrix. In addition, nanotechnology-based drug delivery systems are discussed as promising tools to improve antibiotic stability, bioavailability, and targeted release within the hostile gastric environment. In conclusion, effective management of H. pylori infection requires a mechanistically informed and multidisciplinary approach that integrates bacterial virulence, biofilm biology, host immune modulation, and regional antimicrobial resistance profiles. The combination of established pharmacological therapies with innovative anti-biofilm and nanomedicine-based strategies represents a promising direction for improving eradication outcomes and limiting the further development of antimicrobial resistance.
PMID:41931732 | DOI:10.26402/jpp.2026.1.04
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(Multiomics OR Omics) AND (Lung OR gastric OR Hepatocellular)
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Pan-cancer landscape of protein kinase D3: An integrative TCGA multi-omics analysis of clinical, molecular, and immunological roles
PLoS One. 2026 Apr 3;21(4):e0346173. doi: 10.1371/journal.pone.0346173. eCollection 2026.ABSTRACTCancer remains a leading cause of mortality worldwide and a significant barrier to improving quality of life across all populations. The protein kinase D family, including PRKD3, has been demonstrated to play a crucial role in cancer development through its involvement in regulating key cellular processes. Although growing evidence highlights the role of PRKD3 in the tumorigenesis of certain cancers,
Pan-cancer landscape of protein kinase D3: An integrative TCGA multi-omics analysis of clinical, molecular, and immunological roles
PLoS One. 2026 Apr 3;21(4):e0346173. doi: 10.1371/journal.pone.0346173. eCollection 2026.
ABSTRACT
Cancer remains a leading cause of mortality worldwide and a significant barrier to improving quality of life across all populations. The protein kinase D family, including PRKD3, has been demonstrated to play a crucial role in cancer development through its involvement in regulating key cellular processes. Although growing evidence highlights the role of PRKD3 in the tumorigenesis of certain cancers, a comprehensive pan-cancer analysis of PRKD3 remains unavailable. To address this, we performed an integrative pan-cancer analysis of PRKD3 using multi-omics datasets from The Cancer Genome Atlas, the Genotype-Tissue Expression project, and cBioPortal. We examined PRKD3 expression, copy number variation, mutation, and DNA methylation, and evaluated their associations with clinicopathological features, patient survival, and diagnostic potential across 33 cancer types. Immune relevance was further assessed through correlations with immune infiltration, checkpoint gene expression, and immunotherapy response-related genomic biomarkers. Our results revealed that PRKD3 expression was highly heterogeneous, showing significant upregulation in liver cancer, gastric cancer, and adrenocortical carcinoma, and downregulation in others. Elevated expression was consistently associated with poor prognosis and increased stromal, neutrophil, and cancer-associated fibroblast infiltration in adrenocortical carcinoma, liver cancer, and stomach cancer, whereas paradoxical associations with favorable outcomes were observed in kidney clear cell carcinoma. PRKD3 expression also correlated with immune checkpoint molecules including PD-1, PD-L1, and CTLA-4, supporting an immunosuppressive role, while context-dependent associations with TMB and MSI highlighted its potential influence on tumor immunogenicity and responsiveness to immune checkpoint blockade. Collectively, these findings identify PRKD3 as a potential context-dependent modulator of tumor biology, prognosis, and immune interactions, underscoring its potential as a biomarker of diagnostic, prognostic, and therapeutic relevance in precision oncology.
PMID:41931575 | PMC:PMC13048501 | DOI:10.1371/journal.pone.0346173