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Adenocarcinoma

Adenocarcinoma is a type of cancerous tumor that originates in glandular tissue.
It is a common form of cancer that can develop in various organs, such as the lung, breast, prostate, and colon.
Adenocarcinomas are characterized by the abnormal growth of epithelial cells that line the glands or mucous membranes.
These cancers often have a glandular or papillary appearance under a microscope.
Adenocarcinomas can be slow-growing or aggressive, depending on the location and stage of the disease.
Accurate diagnosis and effective treatment of adenocarcinoma are critical for improving patient outcomes and advancing breakthroughs in this area of oncology research.

Most cited protocols related to «Adenocarcinoma»

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Publication 2015
Adenocarcinoma Gene Expression Genes Genetic Markers Genome Genotype Lymph Node Metastasis Malignant Neoplasms Melanoma Microarray Analysis Mutation Neoplasm Metastasis Neoplasms Patients Pharmaceutical Adjuvants RNA-Seq Stomach Synapses Therapeutics Virus
Fresh frozen gastric adenocarcinoma and matched germline DNA samples were obtained from 295 patients under IRB approved protocols. Genomic material and (when available) protein were subjected to single nucleotide polymorphism array somatic copy-number analysis, whole-exome sequencing, mRNA sequencing, miRNA sequencing, array-based DNA methylation profiling and reverse-phase protein arrays. A subset of samples was subjected to whole-genome sequencing. Initial analysis centred on the development of a classification scheme for gastric cancer. Subsequent analysis identified key features from each of the genomic/molecular platforms, looking both for features found across gastric cancer and those characteristic of individual gastric cancer subtypes. Primary and processed data are deposited at the Data Coordinating Center (https://tcga-data.nci.nih.gov/tcga/tcgaDownload.jsp); primary sequence files are deposited in CGHub (https://cghub.ucsc.edu/). Sample lists, and supporting data can be found at (https://tcga-data.nci.nih.gov/docs/publications/stad_2014/).
Publication 2014
Adenocarcinoma Diploid Cell Freezing Gastric Cancer Genome Germ Line Methylation MicroRNAs Patients Protein Arrays Proteins RNA, Messenger Single Nucleotide Polymorphism Stomach
Fresh frozen gastric adenocarcinoma and matched germline DNA samples were obtained from 295 patients under IRB approved protocols. Genomic material and (when available) protein were subjected to single nucleotide polymorphism array somatic copy-number analysis, whole-exome sequencing, mRNA sequencing, miRNA sequencing, array-based DNA methylation profiling and reverse-phase protein arrays. A subset of samples was subjected to whole-genome sequencing. Initial analysis centred on the development of a classification scheme for gastric cancer. Subsequent analysis identified key features from each of the genomic/molecular platforms, looking both for features found across gastric cancer and those characteristic of individual gastric cancer subtypes. Primary and processed data are deposited at the Data Coordinating Center (https://tcga-data.nci.nih.gov/tcga/tcgaDownload.jsp); primary sequence files are deposited in CGHub (https://cghub.ucsc.edu/). Sample lists, and supporting data can be found at (https://tcga-data.nci.nih.gov/docs/publications/stad_2014/).
Publication 2014
Adenocarcinoma Diploid Cell Freezing Gastric Cancer Genome Germ Line Methylation MicroRNAs Patients Protein Arrays Proteins RNA, Messenger Single Nucleotide Polymorphism Stomach
A Pubmed search was performed to identify lung cancer survival associated biomarkers using all combinations of the keywords “lung cancer”, “NSCLC”, “adenocarcinoma”, “squamous cell carcinoma”, “survival”, “gene expression”, “signature” and “meta analysis”. Only studies published in English were included. Eligibility criteria also included the investigation of the biomarker in at least 50 patients - biomarkers described in experimental models only were omitted. For each gene/signature the exact conditions in which it was identified have been retrieved, and these have been used as filtering when selecting the patients for the survival analysis.
To visualize the performance of the various biomarkers in datasets including different number of patients, we have generated funnel plots depicting the hazard ratio (and confidence intervals) on the horizontal axis vs. the sample size on the vertical axis for each dataset. We also added an option to the online interface to simultaneously perform the analysis in each of the individual datasets. Finally, significance was set at p<0.01.
Publication 2013
Adenocarcinoma Biological Markers Eligibility Determination Epistropheus Gene Expression Genes Lung Lung Cancer Non-Small Cell Lung Carcinoma Patients Squamous Cell Carcinoma Tumor Markers

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Publication 2016
Adenocarcinoma Adenocarcinoma of Lung Carcinoma, Pancreatic Ductal CD8-Positive T-Lymphocytes Cell Lines Cells Cytotoxic T-Lymphocyte Antigen 4 Genes HAVCR2 protein, human Hypernephroid Carcinomas Ipilimumab LINE-1 Elements Melanoma Missense Mutation Mutation PDCD1 protein, human PRDM1 protein, human T-Cell Exhaustion TBX21 protein, human Transcription Factor

Most recents protocols related to «Adenocarcinoma»

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Example 1

1) Tucaresol

Tucaresol (0-1200 μM) is exposed for 72 hours to a panel of human liquid, hematological, and solid tumors such as multiple myeloma, leukemia, colorectal, non-small cell lung cancer (squamous and adenocarcinoma), hepatocellular, renal, pancreatic and breast cancer cell lines, and human non-tumor such as HUVEC, PBMC, skin fibroblast cells lines. Tucaresol is studied either alone or in combination with standard-of-care agents (1-100 μM). All cell lines are grown in standard serum-containing media with an exposure time of 24-144 hours. Cell viability is measured using, for example, the Cell TiterGlo® Viability Assay. The potency (IC50) and efficacy (% cell kill) are determined from the percent cell growth of the vehicle control.

2) Tucaresol Plus PD-1 Antibody

Tucaresol (0-1200 μM) in the presence of a PD-1 antibody is exposed for 72 hours to a panel of human liquid, hematological, and solid tumor such as multiple myeloma, leukemia, colorectal, non-small cell lung cancer (squamous and adenocarcinoma), hepatocellular, renal, pancreatic and breast cancer cell lines, and human non-tumor such as HUVEC, PBMC, skin fibroblast cells lines, and the viability of the cell lines are measured as described above. The viability of the cell lines in the presence of tucaresol plus PD-1 antibody is compared to the viability of the cell lines in the presence of a CTLA-4 antibody plus the PD-1 antibody or PD-1 antibody alone.

3) CTLA-4 Antibody Plus PD-1 Antibody

CTLA-4 antibody in the presence of a PD-1 antibody is exposed for 72 hours to a panel of human liquid, hematological, and solid tumor such as multiple myeloma, leukemia, colorectal, non-small cell lung cancer (squamous and adenocarcinoma), hepatocellular, renal, pancreatic and breast cancer cell lines, and human non-tumor such as HUVEC, PBMC, skin fibroblast cells lines, and the viability of the cell lines are measured as described above.

4) Tucaresol Plus Plinabulin

Tucaresol (0-1200 μM) in the presence of Plinabulin is exposed for 72 hours to a panel of human liquid, hematological, and solid tumor such as multiple myeloma, leukemia, colorectal, non-small cell lung cancer (squamous and adenocarcinoma), hepatocellular, renal, pancreatic and breast cancer cell lines, and human non-tumor such as HUVEC, PBMC, skin fibroblast cells lines, and the viability of the cell lines are measured as described above.

The viability of the cell lines in the presence of tucaresol, tucaresol plus PD-1 antibody, CTLA-4 antibody plus the PD-1 antibody, and tucaresol plus plinabulin are compared.

Patent 2024
Adenocarcinoma Biological Assay Cell Lines Cells Cell Survival Cytotoxic T-Lymphocyte Antigen 4 Fibroblasts Homo sapiens Immunoglobulins Kidney Leukemia MCF-7 Cells Multiple Myeloma Neoplasms Non-Small Cell Lung Carcinoma Pancreas plinabulin Serum Skin tucaresol

Example 6

The AST cytotoxicity was evaluated and compared with that of inorganic As(III) using five different types of human cell lines from major organs/tissues: HEK293, immortalized embryonic kidney cells; THP-1, monocytes derived from an acute monocytic leukemia patient; macrophage, macrophage-like cells differentiated from THP-1; HepG2, immortalized cells isolated from a hepatocellular carcinoma; and Caco-2, immortalized cell line derived from a colorectal adenocarcinoma patient (FIG. 5). The results show that AST has much lower cytotoxicity in human cells than As(III). The LC50 values of AST on all the tested cell lines except Caco2 were greater than 250 μM. Caco-2 was relatively more sensitive to AST with a lower LC50 value (150-200 μM). In contrast, the LC50 values of As(III) on all the tested cell lines except macrophage were lower than 25 μM, while that of macrophage was higher (100 μM), suggesting that AST is >10 times less cytotoxic than As(III). AST at 100 μM completely inhibits PfGS-I activity (FIG. 2C), P. falciparum proliferation in blood (FIG. 3) and transmission to mosquitoes (FIG. 4A), but had little effect on most of the tested human cell lines (FIG. 5). Thus, AST is effective against the malaria parasite with limited effect on human cells.

Patent 2024
Acute Monocytic Leukemia Adenocarcinoma BLOOD Cardiac Arrest Cell Lines Cells Culicidae Cytotoxin Embryo Hepatocellular Carcinomas Homo sapiens Kidney Macrophage Malaria Monocytes Parasites Patients Tissues Transmission, Communicable Disease

Example 9

In vivo PET/CT imaging was conducted in NCr nude mice bearing bxpc3 (human pancreatic adenocarcinoma cell line) and 4T1 (a murine breast cancer cell line that overexpresses integrin αvβ3 and CD13) tumor xenografts.

Mice were injected with bxpc3 cells (1 million cells in 150 μL PBS) into the subcutaneous flank of the right shoulder and 4T1 cells (1 million cells in 150 μL PBS) into the subcutaneous flank of the left shoulder. Either the CNGRC-(68Ga)NOTA-RGDyK heterodimer (“CNGRC” disclosed as SEQ ID NO: 1), (68Ga)NOTA(CNGRC) (“CNGRC” disclosed as SEQ ID NO: 1), or (68Ga)NOTA(RGDyK) were injected into the bloodstream via tail vein injection. Blocking studies were conducted for the heterodimer studies by co-injecting 100 times of cyclo(CNGRC) (“CNGRC” disclosed as SEQ ID NO: 1) and cyclo(RGDyK). Small animal PET/CT was performed at 1 hour post injection of tracers (FIG. 14). The heterodimer CNGRC-(68Ga)NOTA-RGDyK (“CNGRC” disclosed as SEQ ID NO: 1) showed improved enhanced in in vivo performance (such as longer blood retention, better tumor/non-tumor ratios).

Patent 2024
1,4,7-triazacyclononane-N,N',N''-triacetic acid Adenocarcinoma Animals BLOOD Blood Circulation Cardiac Arrest Cell Lines Cells Homo sapiens Integrin alphaVbeta3 MCF-7 Cells Mice, Nude Mus Neoplasms Pancreas Retention (Psychology) Scan, CT PET Shoulder Tail Veins Xenografting

Example 13

The studies provided herein use the anti-Jagged antibody 4D11 and the activatable anti-Jagged antibody 5342-1204-4D11. The anti-Jagged antibody and activatable anti-Jagged antibody were tested using BxPC3 cells, a human primary pancreatic adenocarcinoma cancer cell line.

The studies described herein were designed to evaluate the anti-Jagged antibody 4D11 and the anti-Jagged activatable antibody 5342-1204-4D11 accumulation in BxPC3 xenograft tumors by in vivo imaging with “cold” 4D11 pretreatment control. An overview of the groups used in the first set of studies is shown below in Table 14:

TABLE 14
Study Groups (n = 3)
PretreatmentDose
GroupCount“cold”/Treatment(mg/kg)Route
13PBS/4D11-AF750—/10IP/IP
234D11/4D11-AF75020/10IP/IP
335342-1204-4D11/20/10IP/IP
4D11-AF750

Activation of the anti-Jagged activatable antibody 5342-1204-4D11 was estimated by imaging of receptor occupancy (FIG. 24A).

As seen in FIGS. 24A and 24B, in vivo imaging results (FIG. 24B) correlated with ex vivo imaging results (FIG. 24C).

Patent 2024
Adenocarcinoma Anti-Antibodies Antibodies, Anti-Idiotypic Cell Lines Cells cold agglutinins Common Cold Heterografts Homo sapiens IP 20 Malignant Neoplasms Neoplasms Pancreatic Cancer Vision
From June 2019 to April 2021, patients with metastatic cervical cancer who received ICI retreatment at the Cancer Center, Union Hospital, Huazhong University of Science and Technology, Wuhan, China, were enrolled in this study. The inclusion criteria were as follows: (1) pathologically confirmed squamous cell carcinoma, adenocarcinoma, or adenosquamous carcinoma of the cervix; (2) metastatic cervical cancer; (3) achieved complete response (CR), partial response (PR), or stable disease (SD) as the best clinical response to first-course immunotherapy; (4) received at least two cycles of retreatment with triplet combination therapy including PD-1 inhibitor, chemotherapy, and antiangiogenic agent; (5) had at least one measurable lesion according to the Response Evaluation Criteria in Solid Tumors (RECIST) version 1.1; and (6) Eastern Cooperative Oncology Group performance score of 1 or less. Patients who did not have the follow-up data were excluded from the analyses. Baseline clinicopathological data, including age, histology, initial stage, metastatic sites, primary surgery, lines of prior systemic treatment, and immunotherapy regimens, were retrieved from medical records.
This retrospective study was conducted in accordance with the principles embodied in the 1964 Declaration of Helsinki and was approved by the Ethics Committee of the Union Hospital of the Huazhong University of Science and Technology (20220023). Informed consent was obtained from all the participants or their legal guardians if the participants cannot write.
Publication 2023
Adenocarcinoma Angiogenesis Inhibitors Cervical Cancer Combined Modality Therapy Ethics Committees, Clinical Immunotherapy Legal Guardians Malignant Neoplasms Neck Neoplasm Metastasis Neoplasms Operative Surgical Procedures Patients Pharmacotherapy Programmed Cell Death Protein 1 Inhibitor Retreatments Squamous Cell Carcinoma Treatment Protocols Triplets Vitelliform Macular Dystrophy

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Streptomycin is a broad-spectrum antibiotic used in laboratory settings. It functions as a protein synthesis inhibitor, targeting the 30S subunit of bacterial ribosomes, which plays a crucial role in the translation of genetic information into proteins. Streptomycin is commonly used in microbiological research and applications that require selective inhibition of bacterial growth.
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Penicillin is a type of antibiotic used in laboratory settings. It is a broad-spectrum antimicrobial agent effective against a variety of bacteria. Penicillin functions by disrupting the bacterial cell wall, leading to cell death.
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MCF-7 is a cell line derived from human breast adenocarcinoma. It is an adherent epithelial cell line that can be used for in vitro studies.
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MDA-MB-231 is a cell line derived from a human breast adenocarcinoma. This cell line is commonly used in cancer research and is known for its aggressive and metastatic properties.
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FBS, or Fetal Bovine Serum, is a commonly used cell culture supplement. It is derived from the blood of bovine fetuses and provides essential growth factors, hormones, and other nutrients to support the growth and proliferation of a wide range of cell types in vitro.

More about "Adenocarcinoma"

Adenocarcinoma is a type of malignant tumor that originates in glandular tissue, such as the lung, breast, prostate, and colon.
This common form of cancer is characterized by the abnormal growth of epithelial cells lining the glands or mucous membranes, often appearing glandular or papillary under a microscope.
Adenocarcinomas can be slow-growing or aggressive, depending on the location and stage of the disease.
Accurate diagnosis and effective treatment are critical for improving patient outcomes in adenocarcinoma.
Researchers often utilize cell lines like MCF-7 and MDA-MB-231, as well as culture media like DMEM and RPMI 1640, supplemented with antibiotics like penicillin and streptomycin, to study this type of cancer.
Understanding the biology and molecular mechanisms of adenocarcinoma is essential for developing new and innovative therapies, such as those involving targeted therapies or immunotherapy.
By leveraging the latest advancements in oncology research, scientists can work towards breakthroughs in the treatment and management of this challenging disease.