Category: Cancer

A research team from the Korea Institute of Science and Technology has developed ‘nanomachines,’ which use mechanical molecular movements to penetrate and destroy cells. Selective cancer cell penetration is also possible by using a latch molecule released near cancer cells.

Researchers have created ‘nanomachines’ that use mechanical molecular motions to enter and destroy cells.

Cancer is a condition where some of the body’s cells grow out of control and spread to other bodily regions. Cancer cells divide continually, leading them to invade surrounding tissue and form solid tumors. The majority of cancer treatments involve killing the cancer cells.

According to 2020 estimates, 1.8 million new instances of cancer were diagnosed in the US, and 600,000 people passed away from the condition. Breast cancer, lung cancer, prostate cancer, and colon cancer are the most common cancers. The average age of a cancer patient upon diagnosis is 66, and individuals between the ages of 65 and 74 account for 25% of all new cancer diagnoses.

Proteins are involved in every biological process and use the energy in the body to change their structure via mechanical movements. They are referred to as biological ‘nanomachines’ since even minor structural changes in proteins have a substantial impact on biological processes. To implement movement in the cellular environment, researchers have focused on the development of nanomachines that imitate proteins. However, cells use a variety of mechanisms to defend themselves against the effect of these nanomachines. This restricts any relevant mechanical movement of nanomachines that could be used for medical purposes.

The research team headed by Dr. Youngdo Jeong from the Center for Advanced Biomolecular Recognition at the Korea Institute of Science and Technology (KIST) has reported the development of a novel biochemical nanomachine that penetrates the cell membrane and kills the cell via the molecular movements of folding and unfolding in certain cellular environments, such as cancer cells. They collaborated with the teams of Professor Sang Kyu Kwak from the School of Energy and Chemical Engineering and Professor Ja-Hyoung Ryu from the Department of Chemistry at the Ulsan National Institute of Science and Technology (UNIST), and Dr. Chaekyu Kim of Fusion Biotechnology, Inc.

Continue reading… “Scientists Develop “Nanomachines” That Can Penetrate and Kill Cancer Cells”

Ovarian cancer kills 14,000 women in the United States every year. It’s the fifth leading cause of cancer death among women, and it’s so deadly, in part, because the disease is hard to catch in its early stages. Patients often don’t experience symptoms until the cancer has begun to spread, and there aren’t any reliable screening tests for early detection.

A team of researchers is working to change that. The group includes investigators from Memorial Sloan Kettering Cancer Center, Weill Cornell Medicine, the University of Maryland, the National Institutes of Standards and Technology, and Lehigh University.

Two recent papers describe their advancements toward a new detection method for ovarian cancer. The approach uses machine learning techniques to efficiently analyze spectral signatures of carbon nanotubes to detect biomarkers of the disease and to recognize the cancer itself.

The first paper appeared in Science Advances in November.

Continue reading… “Nanosensor Platform Could Advance Detection of Ovarian Cancer”

Illustration of human cancer cells.

By YALE SCHOOL OF PUBLIC HEALTH

A team of researchers led by Yale University scientists can now quantify the factors causing changes in the DNA that contribute most to cancer growth in tumors of most major tumor types

In a new paper published in the journal Molecular Biology and Evolution, they say that their new molecular analysis approach clarifies a long-standing debate about how much control humans have over cancer development over time.

Looking at the instances of specific genetic mutations can reveal the extent to which preventable exposures like ultraviolet light caused tumor growth in 24 cancers, said Jeffrey Townsend, Ph.D., the Elihu Professor of Biostatistics in the Department of Biostatistics at Yale School of Public Health (YSPH).

“We can now answer the question — to the best of our knowledge — ‘What is the underlying source of the key mutations that changed those cells to become a cancer instead of remaining normal tissue?’” he said.

Some of the most common cancers in the United States are known to be highly preventable by human decisions. Skin cancers, such as melanoma, emerge in large part because of prolonged exposure to ultraviolet light, and lung cancers can often be traced back to tobacco use. But scientists have long struggled to gauge how much any individual’s tumor developed as a result of preventable actions versus aging or “chance.”

Continue reading… “TOPICS:CancerDNAMolecular BiologyPublic HealthYale University“

A new cancer immunotherapy approach devised by Mayo Clinic researchers combines chimeric antigen receptor (CAR) T-cell therapy with a cancer-killing virus. In animal models, the dual therapy, in the form of a virus-loaded CAR T cell, has been shown to target and treat solid cancer tumors more effectively than either the CAR T-cell therapy or the virus alone, or indeed, the CAR T-cell therapy and the virus administered sequentially.

Details about the new approach appeared in Science Translational Medicine, in an article titled, “Oncolytic virus–mediated expansion of dual-specific CAR T cells improves efficacy against solid tumors in mice.” The article indicates that virus-loaded CAR T cells can transfer and release an oncolytic virus in the vicinity of tumor cells, and that tumor cells subsequently become infected, suffer viral replication, and burst open. This sequence of events leads to a potent immune response.

“We show in an immunocompetent mouse model that coadministration of an oncolytic virus (OV) with CAR T cells expands dual-specific (DS) CAR T cells through presentation of viral antigens through their T-cell receptor (TCR),” the article’s authors wrote. “[This approach confers] a potent proliferative advantage, distinct memory phenotypes, and superior efficacy compared to virus alone or to CAR T cells without OV-mediated TCR stimulation.”

Continue reading… “CAR T Cells “Loaded” with Oncolytic Viruses Boost Attack on Solid Tumors”

by Emily Velasco,  California Institute of Technology

Since its invention, chemotherapy has proven to be a valuable tool in treating cancers of many kinds, but it has a big downside. In addition to killing cancer cells, it can also kill healthy cells like the ones in hair follicles, causing baldness; and those that line the stomach, causing nausea.

Scientists at Caltech may have a better solution: genetically engineered, sound-controlled bacteria that seek and destroy cancer cells. In a new paper appearing in the journal Nature Communications, researchers from the lab of Mikhail Shapiro, professor of chemical engineering and Howard Hughes Medical Institute investigator, show how they have developed a specialized strain of the bacteria Escherichia coli (E. coli) that seeks out and infiltrates cancerous tumors when injected into a patient’s body. Once the bacteria have arrived at their destination, they can be triggered to produce anti-cancer drugs with pulses of ultrasound.

“The goal of this technology is to take advantage of the ability of engineered probiotics to infiltrate tumors, while using ultrasound to activate them to release potent drugs inside the tumor,” Shapiro says.

Continue reading… “Researchers develop sound-controlled bacteria to fight cancer”

The innovation could reduce the side effects of cancer therapy.

A new technology developed by UZH researchers enables the body to produce therapeutic agents on demand at the exact location where they are needed. The innovation could reduce the side effects of cancer therapy and may hold the solution to better delivery of Covid-related therapies directly to the lungs.

Scientists at the University of Zurich have modified a common respiratory virus, called adenovirus, to act like a Trojan horse to deliver genes for cancer therapeutics directly into tumor cells. Unlike chemotherapy or radiotherapy, this approach does no harm to normal healthy cells. Once inside tumor cells, the delivered genes serve as a blueprint for therapeutic antibodies, cytokines and other signaling substances, which are produced by the cancer cells themselves and act to eliminate tumors from the inside out.

Continue reading… “Groundbreaking technology makes cancerous tumors eliminate themselves”

Summary:Researchers have discovered that a nanoparticle therapeutic enhances cancer immunotherapy and is a possible new approach in treating malignant pleural effusion (MPE). MPE is the accumulation of fluid between the chest wall and lungs and is accompanied by malignant cells and/or tumors.

Researchers at Wake Forest School of Medicine have discovered that a nanoparticle therapeutic enhances cancer immunotherapy and is a possible new approach in treating malignant pleural effusion (MPE). MPE is the accumulation of fluid between the chest wall and lungs and is accompanied by malignant cells and/or tumors.

Results from the study are published in the current issue of Nature Nanotechnology.

Continue reading… “Nanoparticle therapeutic enhances cancer immunotherapy”

A proposed framework for Cancer Patient Digital Twins (CPDTs) — virtual representations of cancer patients using real-time data — would combine high performance computing modeling and simulation, model inference and clinical data to make treatment predictions and individualized health care decisions for cancer patients.

by Jeremy Thomas

A multi-institutional team, including a Lawrence Livermore National Laboratory (LLNL) contributor, has proposed a framework for digital twin models of cancer patients that researchers say would create a “paradigm shift” for predictive oncology.

Published online in Nature Medicine on Nov. 25, the proposed framework for Cancer Patient Digital Twins (CPDTs)—virtual representations of cancer patients using real-time data—would combine high performance computing modeling and simulation, model inference and clinical data to make treatment predictions and individualized health care decisions for cancer patients. When fully realized, CDPTs would reflect a patient’s molecular, physiological and lifestyle characteristics as they evolve over time and across different treatments, and help “usher in a new age in medicine” by increasing the probability of optimal care, the authors concluded.

“CPDTs are a grand challenge problem in this growing convergence of high performance computing and oncology,” said contributor Amy Gryshuk, who serves as a lead in LLNL’s Strategic Science Engagements Office. “They have a tremendous potential to advance predictive medicine, but to fulfill that promise we will need to integrate multiscale and multimodal data to then build and test dynamic models at scale.”

Continue reading… “Digital twins for cancer patients could be ‘paradigm shift’ for predictive oncology”

by Emily Henderson, B.Sc.

A functional precision medicine study conducted in Finland demonstrates that treatment selection based on results from drug sensitivity testing of patients’ cells can be clinically useful in patients with aggressive hematological cancers.

Clinicians, researchers and technology experts from the Institute for Molecular Medicine Finland FIMM at the University of Helsinki and Helsinki University Hospital Comprehensive Cancer Center have over the last 10 years developed and tested a functional precision medicine approach to assign therapies to individual cancer patients. Their latest results have just been published in Cancer Discovery, a top-tier journal of the American Association for Cancer Research.

The group has focused on patients with hematological cancers, particularly acute myeloid leukemia (AML), since standard therapies for the advanced forms of these malignancies have a limited effect and the outcome is invariably poor.

Continue reading… “Experts develop a functional precision medicine approach to assign therapies to cancer patients”

Researchers have developed fish-shaped microrobots that are guided with magnets to cancer cells. 

No, it’s not from a science fiction movie or from an episode of a popular kid’s television show. It’s real life. Researchers, in a proof-of-concept study, have made fish-shaped microrobots that are guided with magnets to cancer cells, where a pH change triggers them to open their mouths and release their chemotherapy cargo.

Scientists have previously made microscale (smaller than 100 µm) robots that can manipulate tiny objects, but most can’t change their shapes to perform complex tasks, such as releasing drugs. Some groups have made 4D-printed objects (3D-printed devices that change shape in response to certain stimuli), but they typically perform only simple actions, and their motion can’t be controlled remotely.

Continue reading… “Shapeshifting Microrobots that Fight Cancer on a Cellular Level”

Fish-shaped microrobots are guided with magnets to cancer cells, where they open their mouths to release their chemotherapy cargo.

Bu Katie Cottingham

Delivering drugs directly to cancer cells could help reduce chemotherapy’s unpleasant symptoms.

Chemotherapy successfully treats many forms of cancer, but the side effects can wreak havoc on the rest of the body. Delivering drugs directly to cancer cells could help reduce these unpleasant symptoms. Now, in a proof-of-concept study, researchers reporting in ACS Nano made fish-shaped microrobots that are guided with magnets to cancer cells, where a pH change triggers them to open their mouths and release their chemotherapy cargo.

Continue reading… “Shape-Shifting Microrobots Deliver Drugs to Cancer Cells”