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#33652656   2021/02/26 To Up

Comparative Analysis of Stk11/Lkb1 versus Pten Deficiency in Lung Adenocarcinoma Induced by CRISPR/Cas9.

This study focused on STK11, PTEN, KRAS, and TP53, which are often found to be mutated in lung cancer. We compared Stk11 and Pten implication in lung cancer in combination with loss of Trp53 and gain of function of Kras in a CRISPR/Cas9 mouse model. Mice with loss of Stk11, Trp53, and KrasG12D mutation (SKT) reached human endpoint at around four months post-initiation. In comparison, mice with loss of Pten, Trp53, and KrasG12D mutation (PKT) survived six months or longer post-initiation. Pathological examination revealed an increase in proliferation in SKT deficient lung epithelia compared to PKT. This difference was independent of Pten loss, indicating that loss of Pten is dispensable for cell proliferation in lung adenocarcinoma. Furthermore, tumors with loss of Stk11, Trp53, and KrasG12D mutation had a significantly higher progression rate, monitored by PET/MRI scanning, compared to mice with loss of Pten, Trp53, and KrasG12D mutation, revealing that mutations in Stk11 are essential for adenocarcinoma progression. Overall, by using the CRISPR/Cas9 mouse model of lung adenocarcinoma, we showed that mutations in Stk11 are a key driver, whereas loss of Pten is dispensable for adenocarcinoma progression.
Martin F Berthelsen, Siv L Leknes, Maria Riedel, Mette A Pedersen, Justin V Joseph, Henrik Hager, Mikkel H Vendelbo, Martin K Thomsen

2611 related Products with: Comparative Analysis of Stk11/Lkb1 versus Pten Deficiency in Lung Adenocarcinoma Induced by CRISPR/Cas9.

1 Set96 assays

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#33646313   2021/03/01 To Up

Gene Sequencing for Pathogenic Variants Among Adults With Breast and Ovarian Cancer in the Caribbean.

Rates of breast and ovarian cancer are high in the Caribbean; however, to date, few published data quantify the prevalence of inherited cancer in the Caribbean population.
Sophia H L George, Talia Donenberg, Cheryl Alexis, Vincent DeGennaro, Hedda Dyer, Sook Yin, Jameel Ali, Raleigh Butler, Sheray N Chin, DuVaughn Curling, Dwight Lowe, John Lunn, Theodore Turnquest, Gilian Wharfe, Danielle Cerbon, Priscila Barreto-Coelho, Matthew P Schlumbrecht, Mohammad R Akbari, Steven A Narod, Judith E Hurley

2787 related Products with: Gene Sequencing for Pathogenic Variants Among Adults With Breast and Ovarian Cancer in the Caribbean.



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#33640623   2021/02/17 To Up

Survival analysis for non-squamous NSCLC patients harbored STK11 or KEAP1 mutation receiving atezolizumab.

To analyze the prognostic effect for patients with non-squamous non-small cell lung cancer (NSCLC) harbored STK11 or KEAP1 (STK11/KEAP1) mutations receiving atezolizumab and docetaxel.
Xiaoling Shang, Zhenxiang Li, Jian Sun, Chenglong Zhao, Jiamao Lin, Haiyong Wang

1576 related Products with: Survival analysis for non-squamous NSCLC patients harbored STK11 or KEAP1 mutation receiving atezolizumab.

1L1 module100ug Lyophilized1 mg

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#33633793   2021/02/09 To Up

Identification and Validation of Efficacy of Immunological Therapy for Lung Cancer From Histopathological Images Based on Deep Learning.

Cancer immunotherapy, as a novel treatment against cancer metastasis and recurrence, has brought a significantly promising and effective therapy for cancer treatments. At present, programmed death 1 (PD-1) and programmed cell death-Ligand 1 (PD-L1) treatment for lung cancer is primarily recognized as an immune checkpoint inhibitor (ICI) to play an anti-tumor effect; however, it remains uncertain regarding of its efficacy though. Thereafter, tumor mutation burden (TMB) was recognized as a high-potential to be a predictive marker for the immune therapy, but it is invasive and costly. Therefore, discovering more immune-related biomarkers that have a guiding role in immunotherapy is a crucial step in the development of immunotherapy. In our study, we proposed a deep convolutional neural network (CNN)-based framework, DeepLRHE, which can efficiently analyze immunological stained pathological images of lung cancer tissues, as well as to identify and explore pathogenesis which can be used for immunological treatment in clinical field. In this study, we used 180 whole slice images (WSIs) of lung cancer downloaded from TCGA which was model training and validation. After two cross-validation used for this model, we compared with the area under the curve (AUC) of multiple mutant genes, TP53 had highest AUC, which reached 0.87, and EGFR, DNMT3A, PBRM1, STK11 also reached ranged from 0.71 to 0.84. The study results showed that the deep learning can used to assist health professionals for target-therapy as well as immunotherapies, therefore to improve the disease prognosis.
Yachao Yang, Jialiang Yang, Yuebin Liang, Bo Liao, Wen Zhu, Xiaofei Mo, Kaimei Huang

1546 related Products with: Identification and Validation of Efficacy of Immunological Therapy for Lung Cancer From Histopathological Images Based on Deep Learning.

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#33591027   2021/02/11 To Up

Peutz-Jeghers syndrome.

Peutz-Jeghers syndrome is a rare, autosomal dominant, hereditary polyposis syndrome defined by gastrointestinal hamartomas and mucocutaneous pigmentations, caused by a germline mutation in the serine/ threonine kinase 11 or liver kinase B1 (STK11/LKB1) genes. Hamartomatous polyps located throughout the gastrointestinal tract can be complicated by bleeding and small bowel intussusception, potentially leading to the need for emergency surgery. Individuals suffering from Peutz-Jeghers syndrome have an increased lifetime risk of various forms of cancer (gastrointestinal, pancreatic, lung, breast, uterine, ovarian and testicular). Surveillance should lead to the prevention of complications and thus a reduction in mortality and morbidity of patients.
Ilja Tacheci, Marcela Kopacova, Jan Bures

1466 related Products with: Peutz-Jeghers syndrome.

100ul1 mL1 mg100 μg

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#33572782   2021/01/29 To Up

The Importance of / Assessment in Non-Small Cell Lung Carcinomas.

Despite the recent implementation of immunotherapy as a single treatment or in combination with chemotherapy for first-line treatment of advanced non-small cell lung cancer (NSCLC), many patients do not benefit from this regimen due to primary treatment resistance or toxicity. Consequently, there is an urgent need to develop efficient biomarkers that can select patients who will benefit from immunotherapy thereby providing the appropriate treatment and avoiding toxicity. One of the biomarkers recently described for the stratification of NSCLC patients undergoing immunotherapy are mutations in , which are often associated with a lack of response to immunotherapy in some patients. Therefore, the purpose of this review is to describe the different cellular mechanisms associated with mutations, which may explain the lack of response to immunotherapy. Moreover the review addresses the co-occurrence of additional mutations that may influence the response to immunotherapy and the current clinical studies that have further explored as a predictive biomarker. Additionally this work includes the opportunities and limitations to look for the status in the therapeutic strategy for NSCLC patients.
Baharia Mograbi, Simon Heeke, Paul Hofman

2108 related Products with: The Importance of / Assessment in Non-Small Cell Lung Carcinomas.



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#33569305   // To Up

Role of next generation sequencing-based liquid biopsy in advanced non-small cell lung cancer patients treated with immune checkpoint inhibitors: impact of STK11, KRAS and TP53 mutations and co-mutations on outcome.

Characterization of tumor-related genetic alterations is promising for the screening of new predictive markers in non-small cell lung cancer (NSCLC). Aim of the study was to evaluate prognostic and predictive role of most frequent tumor-associated genetic alterations detected in plasma before starting immune checkpoint inhibitors (ICIs).
Alberto Pavan, Andrea Boscolo Bragadin, Lorenzo Calvetti, Alessandra Ferro, Elisabetta Zulato, Ilaria Attili, Giorgia Nardo, Alessandro Dal Maso, Stefano Frega, Andrea Giovanni Menin, Matteo Fassan, Fiorella Calabrese, Giulia Pasello, Valentina Guarneri, Giuseppe Aprile, PierFranco Conte, Rafael Rosell, Stefano Indraccolo, Laura Bonanno

1486 related Products with: Role of next generation sequencing-based liquid biopsy in advanced non-small cell lung cancer patients treated with immune checkpoint inhibitors: impact of STK11, KRAS and TP53 mutations and co-mutations on outcome.



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#33560870   2021/02/09 To Up

Time Trends in Receipt of Germline Genetic Testing and Results for Women Diagnosed With Breast Cancer or Ovarian Cancer, 2012-2019.

Genetic testing is important for breast and ovarian cancer risk reduction and treatment, yet little is known about its evolving use.
Allison W Kurian, Kevin C Ward, Paul Abrahamse, Irina Bondarenko, Ann S Hamilton, Dennis Deapen, Monica Morrow, Jonathan S Berek, Timothy P Hofer, Steven J Katz

2277 related Products with: Time Trends in Receipt of Germline Genetic Testing and Results for Women Diagnosed With Breast Cancer or Ovarian Cancer, 2012-2019.



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