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Entrectinib effective, well-tolerated against ROS1 and NTRK lung cancers, especially with brain metastases

The pooled analysis of three clinical trials shows entrectinib is effective in 77% of patients with ROS1+ NSCLC and 57% of patients with NTRK+ NSCLC, with significant response rates and progression-free survival times. Entrectinib's ability to penetrate brain metastases makes it a promising treatment for these patients.

SourceUniversity of Colorado Anschutz Medical Campus·JournalThe Lancet Oncology·DateDec 13, 2019

New algorithm detects even the smallest cancer metastases across the entire mous

Researchers developed DeepMACT, a novel algorithm that can detect and analyze cancer metastases more than 300 times faster than human experts. The algorithm provides insights into the unique metastatic profiles of different tumor models, enabling tailored drug targeting for various cancers.

Adding tucatinib to drug combination extends survival for advanced HER2+ breast cancer patients

The trial showed that adding tucatinib to capecitabine and trastuzumab improved progression-free and overall survival in advanced HER2-positive breast cancer patients, regardless of whether they had brain metastasis. The treatment combination also increased the overall response rate compared to standard care.

SourceUniversity of Texas M. D. Anderson Cancer Center·JournalNew England Journal of Medicine·DateDec 11, 2019

Colorado study suggests new strategies against bone metastases from prostate cancer

A University of Colorado Cancer Center study suggests two new approaches to treating bone metastases from prostate cancer: targeting different signaling pathways for lytic and blastic lesions. Both types of bone metastases show promise with anti-cancer immunotherapy, particularly those with high PD-L1 levels.

SourceUniversity of Colorado Anschutz Medical Campus·JournalJournal for ImmunoTherapy of Cancer·DateDec 2, 2019

Predicting metastasis from primary tumor size

A new mathematical model predicts the presence of undetectable metastases based on primary tumor size, which is associated with a poorer prognosis. The model accurately reflects clinical study data for several cancer types, highlighting the potential dangers of delays in surgery for smaller tumors.

SourcePLOS·JournalPLOS Computational Biology·DateNov 21, 2019

Attacking metastatic breast cancer with sound

Researchers at Tohoku University developed a sound-based treatment that delivers anticancer drugs to lymph nodes affected by breast cancer metastases. The technique involves injecting vesicles carrying drugs into the nodes, which rupture when exposed to high-power ultrasound, releasing the medication.

SourceTohoku University·JournalScientific Reports·DateOct 28, 2019

Compound may play role in halting panceatic cancer

Researchers at Johns Hopkins Medicine have discovered that the compound 4-HAP can reduce metastatic tumor formation in mouse models of human pancreatic cancer. By stiffening cells and overwhelming their ability to invade nearby tissue, 4-HAP may help halt the progression of disease-like behavior in pancreatic cancer cells.

SourceJohns Hopkins Medicine·JournalCancer Research·DateSep 18, 2019

Preventing tumor metastasis

Scientists at the Paul Scherrer Institute deciphered the structure of CCR7 receptor, which plays a crucial role in cancer cell migration. They identified an artificial molecule that blocks this receptor, preventing signaling protein from triggering a chain reaction leading to cell migration.

SourcePaul Scherrer Institute·JournalCell·DateAug 22, 2019

Blocking inflammatory pathway key to preventing brain metastasis from melanoma

Researchers at Tel Aviv University discovered that tumor cells 'hijack' an inflammatory pathway in the brain to spread melanoma, and blocking this pathway could prevent brain metastases. The study found that inhibiting the expression of a specific receptor on melanoma cells significantly inhibited the development of brain metastases.

Non-invasive imaging method spots cancer at the molecular level

Researchers developed a technique combining multiphoton microscopy with automated image analysis to distinguish between healthy and metastatic tissue without invasive biopsies or contrast dyes. The approach identified unique textural features in tissue that reflect cancer metastasis, allowing for early detection and improved treatment.

SourceOptica·JournalBiomedical Optics Express·DateAug 6, 2019