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1. PIM1 kinase promotes gallbladder cancer cell proliferation via inhibition of proline-rich Akt substrate of 40 kDa (PRAS40)

Author

Subbannayya, Tejaswini, Leal-Rojas, Pamela, Zhavoronkov, Alex, Ozerov, Ivan V., Korzinkin, Mikhail, Babu, Niraj, Radhakrishnan, Aneesha, Chavan, Sandip, Raja, Remya, Pinto, Sneha M., Patil, Arun H., Barbhuiya, Mustafa A., Kumar, Prashant, Guerrero-Preston, Rafael, Navani, Sanjay, Tiwari, Pramod K., Kumar, Rekha Vijay, Prasad, T. S. Keshava, Roa, Juan Carlos, Pandey, Akhilesh, Sidransky, David, Gowda, Harsha, Izumchenko, Evgeny, and Chatterjee, Aditi

Published
2019
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2. A draft map of the human proteome

Author

Kim, Min-Sik, Pinto, Sneha M., Getnet, Derese, Nirujogi, Raja Sekhar, Manda, Srikanth S., Chaerkady, Raghothama, Madugundu, Anil K., Kelkar, Dhanashree S., Isserlin, Ruth, Jain, Shobhit, Thomas, Joji K., Muthusamy, Babylakshmi, Leal-Rojas, Pamela, Kumar, Praveen, Sahasrabuddhe, Nandini A., Balakrishnan, Lavanya, Advani, Jayshree, George, Bijesh, Renuse, Santosh, Selvan, Lakshmi Dhevi N., Patil, Arun H., Nanjappa, Vishalakshi, Radhakrishnan, Aneesha, Prasad, Samarjeet, Subbannayya, Tejaswini, Raju, Rajesh, Kumar, Manish, Sreenivasamurthy, Sreelakshmi K., Marimuthu, Arivusudar, Sathe, Gajanan J., Chavan, Sandip, Datta, Keshava K., Subbannayya, Yashwanth, Sahu, Apeksha, Yelamanchi, Soujanya D., Jayaram, Savita, Rajagopalan, Pavithra, Sharma, Jyoti, Murthy, Krishna R., Syed, Nazia, Goel, Renu, Khan, Aafaque A., Ahmad, Sartaj, Dey, Gourav, Mudgal, Keshav, Chatterjee, Aditi, Huang, Tai-Chung, Zhong, Jun, Wu, Xinyan, Shaw, Patrick G., Freed, Donald, Zahari, Muhammad S., Mukherjee, Kanchan K., Shankar, Subramanian, Mahadevan, Anita, Lam, Henry, Mitchell, Christopher J., Shankar, Susarla Krishna, Satishchandra, Parthasarathy, Schroeder, John T., Sirdeshmukh, Ravi, Maitra, Anirban, Leach, Steven D., Drake, Charles G., Halushka, Marc K., Prasad, T. S. Keshava, Hruban, Ralph H., Kerr, Candace L., Bader, Gary D., Iacobuzio-Donahue, Christine A., Gowda, Harsha, and Pandey, Akhilesh

Published
2014
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4. Small molecule inhibitor screening identifified HSP90 inhibitor 17-AAG as potential therapeutic agent for gallbladder cancer

Author

Weber, Helga, Valbuena, José R., Barbhuiya, Mustafa Ahmed, Stein, Stefan, Kunkel, Hana, García, Patricia, Bizama, Carolina, Riquelme, Ismael, Espinoza, Jaime A., Kurtz, Stephen E., Tyner, Jeffrey W., Calderon, Juan Francisco, Corvalán, Alejandro H., Grez, Manuel, Pandey, Akhilesh, Leal-Rojas, Pamela, Roa, Juan Carlos, Weber, Helga, Valbuena, José R., Barbhuiya, Mustafa Ahmed, Stein, Stefan, Kunkel, Hana, García, Patricia, Bizama, Carolina, Riquelme, Ismael, Espinoza, Jaime A., Kurtz, Stephen E., Tyner, Jeffrey W., Calderon, Juan Francisco, Corvalán, Alejandro H., Grez, Manuel, Pandey, Akhilesh, Leal-Rojas, Pamela, and Roa, Juan Carlos

Abstract

Gallbladder cancer (GBC) is a lethal cancer with poor prognosis associated with high invasiveness and poor response to chemotherapy and radiotherapy. New therapeutic approaches are urgently needed in order to improve survival and response rates of GBC patients. We screened 130 small molecule inhibitors on a panel of seven GBC cell lines and identified the HSP90 inhibitor 17-AAG as one of the most potent inhibitory drugs across the different lines. We tested the antitumor efficacy of 17-AAG and geldanamycin (GA) in vitro and in a subcutaneous preclinical tumor model NOD-SCID mice. We also evaluated the expression of HSP90 by immunohistochemistry in human GBC tumors. In vitro assays showed that 17-AAG and GA significantly reduced the expression of HSP90 target proteins, including EGFR, AKT, phospho-AKT, Cyclin B1, phospho-ERK and Cyclin D1. These molecular changes were consistent with reduced cell viability and cell migration and promotion of G2/M cell cycle arrest and apoptosis observed in our in vitro studies. In vivo, 17-AAG showed efficacy in reducing subcutaneous tumors size, exhibiting a 69.6% reduction in tumor size in the treatment group compared to control mice (p < 0.05). The HSP90 immunohistochemical staining was seen in 182/209 cases of GBC (87%) and it was strongly expressed in 70 cases (33%), moderately in 58 cases (28%), and weakly in 54 cases (26%). Our pre-clinical observations strongly suggest that the inhibition of HSP90 function by HSP90 inhibitors is a promising therapeutic strategy for gallbladder cancer that may benefit from new HSP90 inhibitors currently in development.

Published
2017

5. Toward the human cellular microRNAome

Author

McCall, Matthew N., primary, Kim, Min-Sik, additional, Adil, Mohammed, additional, Patil, Arun H., additional, Lu, Yin, additional, Mitchell, Christopher J., additional, Leal-Rojas, Pamela, additional, Xu, Jinchong, additional, Kumar, Manoj, additional, Dawson, Valina L., additional, Dawson, Ted M., additional, Baras, Alexander S., additional, Rosenberg, Avi Z., additional, Arking, Dan E., additional, Burns, Kathleen H., additional, Pandey, Akhilesh, additional, and Halushka, Marc K., additional

Published
2017
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6. Small molecule inhibitor screening identifified HSP90 inhibitor 17-AAG as potential therapeutic agent for gallbladder cancer

Author

Weber, Helga, primary, Valbuena, José R., additional, Barbhuiya, Mustafa A., additional, Stein, Stefan, additional, Kunkel, Hana, additional, García, Patricia, additional, Bizama, Carolina, additional, Riquelme, Ismael, additional, Espinoza, Jaime A., additional, Kurtz, Stephen E., additional, Tyner, Jeffrey W., additional, Calderon, Juan Francisco, additional, Corvalán, Alejandro H., additional, Grez, Manuel, additional, Pandey, Akhilesh, additional, Leal-Rojas, Pamela, additional, and Roa, Juan C., additional

Published
2017
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7. Additional file 9: of Macrophage migration inhibitory factor - a therapeutic target in gallbladder cancer

Author

Tejaswini Subbannayya, Leal-Rojas, Pamela, Barbhuiya, Mustafa, Remya Raja, Renuse, Santosh, Gajanan Sathe, Pinto, Sneha, Nazia Syed, Vishalakshi Nanjappa, Patil, Arun, Garcia, Patricia, Sahasrabuddhe, Nandini, Bipin Nair, Guerrero-Preston, Rafael, Navani, Sanjay, Tiwari, Pramod, Vani Santosh, Sidransky, David, T. Prasad, Harsha Gowda, Roa, Juan, Akhilesh Pandey, and Chatterjee, Aditi

Abstract

(a) Knockdown ofMIFusing its specific siRNA in a panel of GBC cell lines. Western blot analysis was performed using anti-MIF antibody. β-Actin was used as a loading control. (b) Colony forming ability and invasive property of GBC cell lines. (c) Scatter plot representing invasive ability versus the colony forming ability of GBC cell lines. (PDF 1399 kb)

Published
2015
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8. Additional file 6: of Macrophage migration inhibitory factor - a therapeutic target in gallbladder cancer

Author

Tejaswini Subbannayya, Leal-Rojas, Pamela, Barbhuiya, Mustafa, Remya Raja, Renuse, Santosh, Gajanan Sathe, Pinto, Sneha, Nazia Syed, Vishalakshi Nanjappa, Patil, Arun, Garcia, Patricia, Sahasrabuddhe, Nandini, Bipin Nair, Guerrero-Preston, Rafael, Navani, Sanjay, Tiwari, Pramod, Vani Santosh, Sidransky, David, T. Prasad, Harsha Gowda, Roa, Juan, Akhilesh Pandey, and Chatterjee, Aditi

Abstract

Gene ontology-based classification of proteins identified in the study. (a) Subcellular localization (b) Molecular function (c) Biological process. (d) Graphical representation of the top 12 canonical pathways of the differentially expressed proteins identified in this study generated using Ingenuity Pathway Analysis. The columns represent the â log of the p-value for all of the genes in each particular canonical pathway family calculated based on Fisherâ s exact test. The line graph represents the ratio plot indicating the number of genes differentially expressed in this study relative to the total number of genes in that particular canonical pathway. (PDF 311 kb)

Published
2015
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9. Additional file 7: of Macrophage migration inhibitory factor - a therapeutic target in gallbladder cancer

Author

Tejaswini Subbannayya, Leal-Rojas, Pamela, Barbhuiya, Mustafa, Remya Raja, Renuse, Santosh, Gajanan Sathe, Pinto, Sneha, Nazia Syed, Vishalakshi Nanjappa, Patil, Arun, Garcia, Patricia, Sahasrabuddhe, Nandini, Bipin Nair, Guerrero-Preston, Rafael, Navani, Sanjay, Tiwari, Pramod, Vani Santosh, Sidransky, David, T. Prasad, Harsha Gowda, Roa, Juan, Akhilesh Pandey, and Chatterjee, Aditi

Abstract

A graphical representation of the proteins related to the MIF nexus identified in our study. (PDF 764 kb)

Published
2015
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10. Rapamycin and WYE-354 suppress human gallbladder cancer xenografts in mice

Author

Weber, Helga, Leal-Rojas, Pamela, Stein, Stefan, Kunkel, Hana, García, Patricia, Bizama, Carolina, Espinoza, Jaime A., Riquelme, Ismael, Nervi, Bruno, Araya, Juan C., Grez, Manuel, Roa, Juan Carlos, Weber, Helga, Leal-Rojas, Pamela, Stein, Stefan, Kunkel, Hana, García, Patricia, Bizama, Carolina, Espinoza, Jaime A., Riquelme, Ismael, Nervi, Bruno, Araya, Juan C., Grez, Manuel, and Roa, Juan Carlos

Abstract

Gallbladder cancer (GBC) is a highly malignant tumor characterized by a poor response to chemotherapy and radiotherapy. We evaluated the in vitro and in vivo antitumor efficacy of mTOR inhibitors, rapamycin and WYE-354. In vitro assays showed WYE-354 significantly reduced cell viability, migration and invasion and phospho-P70S6K expression in GBC cells. Mice harboring subcutaneous gallbladder tumors, treated with WYE-354 or rapamycin, exhibited a significant reduction in tumor mass. A short-term treatment with a higher dose of WYE-354 decreased the tumor size by 68.6% and 52.4%, in mice harboring G-415 or TGBC-2TKB tumors, respectively, compared to the control group. By contrast, treatment with a prolonged-low-dose regime of rapamycin almost abrogated tumor growth, exhibiting 92.7% and 97.1% reduction in tumor size, respectively, compared to control mice. These results were accompanied by a greater decrease in the phosphorylation status of P70S6K and a lower cell proliferation Ki67 index, compared to WYE-354 treated mice, suggesting a more effective mTOR pathway inhibition. These findings provide a proof of concept for the use of rapamycin or WYE-354 as potentially good candidates to be studied in clinical trials in GBC patients.

Published
2015

11. Macrophage migration inhibitory factor - a therapeutic target in gallbladder cancer

Author

Subbannayya, Tejaswini, primary, Leal-Rojas, Pamela, additional, Barbhuiya, Mustafa A., additional, Raja, Remya, additional, Renuse, Santosh, additional, Sathe, Gajanan, additional, Pinto, Sneha M., additional, Syed, Nazia, additional, Nanjappa, Vishalakshi, additional, Patil, Arun H., additional, Garcia, Patricia, additional, Sahasrabuddhe, Nandini A., additional, Nair, Bipin, additional, Guerrero-Preston, Rafael, additional, Navani, Sanjay, additional, Tiwari, Pramod K., additional, Santosh, Vani, additional, Sidransky, David, additional, Prasad, T. S. Keshava, additional, Gowda, Harsha, additional, Roa, Juan Carlos, additional, Pandey, Akhilesh, additional, and Chatterjee, Aditi, additional

Published
2015
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12. Global phosphotyrosine survey in triple-negative breast cancer reveals activation of multiple tyrosine kinase signaling pathways

Author

Wu, Xinyan, primary, Zahari, Muhammad Saddiq, additional, Ma, Binyun, additional, Liu, Ren, additional, Renuse, Santosh, additional, Sahasrabuddhe, Nandini A., additional, Chen, Lily, additional, Chaerkady, Raghothama, additional, Kim, Min-Sik, additional, Zhong, Jun, additional, Jelinek, Christine, additional, Barbhuiya, Mustafa A., additional, Leal-Rojas, Pamela, additional, Yang, Yi, additional, Kashyap, Manoj Kumar, additional, Marimuthu, Arivusudar, additional, Ling, Min, additional, Fackler, Mary Jo, additional, Merino, Vanessa, additional, Zhang, Zhen, additional, Zahnow, Cynthia A., additional, Gabrielson, Edward, additional, Stearns, Vered, additional, Roa, Juan Carlos, additional, Sukumar, Saraswati, additional, Gill, Parkash S., additional, and Pandey, Akhilesh, additional

Published
2015
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13. Su1999 Proteomic Analysis of Gallbladder Cancer to Identify Biomarkers and Therapeutic Targets

Author

Barbhuiya, Mustafa A., primary, Subbannayya, Tejaswini, additional, Leal-Rojas, Pamela A., additional, Shahasrabudhe, Nandini, additional, Renuse, Santosh, additional, Patil, Arun H., additional, Garcia, Patricia, additional, Navani, Sanjay, additional, Tiwari, Pramod K., additional, Santosh, Vani, additional, Prasad, T.S. Keshava, additional, Gowda, Harsha, additional, Yadav, Thakur D., additional, Roa, Juan C., additional, Chatterjee, Aditi, additional, and Pandey, Akhilesh, additional

Published
2015
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14. A draft map of the human proteome

Author

Kim, Minsik, Pinto, Sneha Maria Aria, Getnet, Derese, Nirujogi, Raja Sekhar Ekhar, Manda, Srikanth Srinivas Rinivas, Chaerkady, Raghothama, Madugundu, Anil Kumar, Kelkar, Dhanashree, Isserlin, Ruth, Jain, Shobhit, Thomas, Joji Kurian, Muthusamy, Babylakshmi, Leal-Rojas, Pamela, Kumar, Praveen, Sahasrabuddhe, Nandini, Balakrishnan, Lavanya, Advani, Jayshree, George, Bijesh, Renuse, Santosh, Selvan, Lakshmi Dhevi Nagarajha Nagarajha, Patil, Arun, Nanjappa, Vishalakshi, Radhakrishnan, Aneesha, Prasad, Samarjeet, Subbannayya, Tejaswini, Raju, Rajesh, Kumar, Manish Vijaya, Sreenivasamurthy, Sreelakshmi, Marimuthu, Arivusudar, Sathe, Gajanan, Chavan, Sandip, Datta, Keshava, Subbannayya, Yashwanth, Sahu, Apeksha, Yelamanchi, Soujanya, Jayaram, Savita, Rajagopalan, Pavithra, Sharma, Jyoti, Murthy, Krishna Ramachandra, Syed, Nazia, Goel, Renu, Khan, Aafaqueahmad, Ahmad, Sartaj Akhtar, Dey, Gourav, Mudgal, Keshav, Chatterjee, Aditi, Huang, Taichung, Zhong, Jun, Wu, Xinyan, Shaw, Patrick, Freed, Donald, Zahari, Muhammad Saddiq, Mukherjee, Kanchan Kumar, Shankar, Subramanian Ravi, Mahadevan, Anita, Lam, Henry H N, Mitchell, Christopher, Shankar, Susarla Krishna Rishna, Satishchandra, Parthasarathy, Schroeder, John, Sirdeshmukh, Ravi, Maitra, Anirban, Leach, Steven, Drake, Charles, Halushka, Marc Kenneth, Prasad, Thottethodi Subrahmanya Keshava, Hruban, Ralph, Kerr, Candace, Bader, Gary, Iacobuzio-Donahue, Christine, Gowda, Harsha, Pandey, Akhilesh, Kim, Minsik, Pinto, Sneha Maria Aria, Getnet, Derese, Nirujogi, Raja Sekhar Ekhar, Manda, Srikanth Srinivas Rinivas, Chaerkady, Raghothama, Madugundu, Anil Kumar, Kelkar, Dhanashree, Isserlin, Ruth, Jain, Shobhit, Thomas, Joji Kurian, Muthusamy, Babylakshmi, Leal-Rojas, Pamela, Kumar, Praveen, Sahasrabuddhe, Nandini, Balakrishnan, Lavanya, Advani, Jayshree, George, Bijesh, Renuse, Santosh, Selvan, Lakshmi Dhevi Nagarajha Nagarajha, Patil, Arun, Nanjappa, Vishalakshi, Radhakrishnan, Aneesha, Prasad, Samarjeet, Subbannayya, Tejaswini, Raju, Rajesh, Kumar, Manish Vijaya, Sreenivasamurthy, Sreelakshmi, Marimuthu, Arivusudar, Sathe, Gajanan, Chavan, Sandip, Datta, Keshava, Subbannayya, Yashwanth, Sahu, Apeksha, Yelamanchi, Soujanya, Jayaram, Savita, Rajagopalan, Pavithra, Sharma, Jyoti, Murthy, Krishna Ramachandra, Syed, Nazia, Goel, Renu, Khan, Aafaqueahmad, Ahmad, Sartaj Akhtar, Dey, Gourav, Mudgal, Keshav, Chatterjee, Aditi, Huang, Taichung, Zhong, Jun, Wu, Xinyan, Shaw, Patrick, Freed, Donald, Zahari, Muhammad Saddiq, Mukherjee, Kanchan Kumar, Shankar, Subramanian Ravi, Mahadevan, Anita, Lam, Henry H N, Mitchell, Christopher, Shankar, Susarla Krishna Rishna, Satishchandra, Parthasarathy, Schroeder, John, Sirdeshmukh, Ravi, Maitra, Anirban, Leach, Steven, Drake, Charles, Halushka, Marc Kenneth, Prasad, Thottethodi Subrahmanya Keshava, Hruban, Ralph, Kerr, Candace, Bader, Gary, Iacobuzio-Donahue, Christine, Gowda, Harsha, and Pandey, Akhilesh

Abstract

The availability of human genome sequence has transformed biomedical research over the past decade. However, an equivalent map for the human proteome with direct measurements of proteins and peptides does not exist yet. Here we present a draft map of the human proteome using high-resolution Fourier-transform mass spectrometry. In-depth proteomic profiling of 30 histologically normal human samples, including 17 adult tissues, 7 fetal tissues and 6 purified primary haematopoietic cells, resulted in identification of proteins encoded by 17,294 genes accounting for approximately 84% of the total annotated protein-coding genes in humans. A unique and comprehensive strategy for proteogenomic analysis enabled us to discover a number of novel protein-coding regions, which includes translated pseudogenes, non-coding RNAs and upstream open reading frames. This large human proteome catalogue (available as an interactive web-based resource at http://www.humanproteomemap.org) will complement available human genome and transcriptome data to accelerate biomedical research in health and disease. © 2014 Macmillan Publishers Limited.

Published
2014

15. Clinical and public health research using methylated DNA Immunoprecipitation (MeDIP): A comparison of commercially available kits to examine differential DNA methylation across the genome

Author

Brebi-Mieville, Priscilla, primary, Ili-Gangas, Carmen, additional, Leal-Rojas, Pamela, additional, Noordhuis, Maartje G., additional, Soudry, Ethan, additional, Perez, Jimena, additional, Roa, Juan Carlos, additional, Sidransky, David, additional, and Guerrero-Preston, Rafael, additional

Published
2012
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18. Patrones de hipermetilación génica en tumores ginecológicos

Author

Leal Rojas, Pamela, primary, Anabalón Rodríguez, Leonardo, additional, García Muñoz, Patricia, additional, Tapia Escalona, Oscar, additional, Guzmán González, Pablo, additional, Araya Orostica, Juan Carlos, additional, Villaseca Hernández, Miguel, additional, and Roa Strauch, Juan Carlos, additional

Published
2009
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19. A draft map of the human proteome.

Author

Min-Sik Kim, Pinto, Sneha M., Getnet, Derese, Nirujogi, Raja Sekhar, Manda, Srikanth S., Chaerkady, Raghothama, Madugundu, Anil K., Kelkar, Dhanashree S., Isserlin, Ruth, Jain, Shobhit, Thomas, Joji K., Muthusamy, Babylakshmi, Leal-Rojas, Pamela, Kumar, Praveen, Sahasrabuddhe, Nandini A., Balakrishnan, Lavanya, Advani, Jayshree, George, Bijesh, Renuse, Santosh, and Selvan, Lakshmi Dhevi N.

Abstract

The availability of human genome sequencehas transformed biomedical researchover thepast decade.However, anequivalentmapfor the human proteome with direct measurements of proteins and peptides does not exist yet. Herewepresent a draft map of the human proteome using high-resolution Fourier-transform mass spectrometry. In-depth proteomic profiling of 30 histologically normal human samples, including 17 adult tissues, 7 fetal tissues and 6 purified primary haematopoietic cells, resulted in identification of proteins encoded by 17,294 genes accounting for approximately 84% of the total annotated protein-coding genes in humans. A unique and comprehensive strategy for proteogenomic analysis enabled us to discover a number of novel protein-coding regions, which includes translated pseudogenes, non-coding RNAs and upstream open reading frames. This large human proteome catalogue (available as an interactive web-based resource at http://www.humanproteomemap.org) will complement available human genome and transcriptomedata to accelerate biomedical research in health and disease. [ABSTRACT FROM AUTHOR]

Published
2014
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20. Additional file 8: of Macrophage migration inhibitory factor - a therapeutic target in gallbladder cancer

Author

Tejaswini Subbannayya, Leal-Rojas, Pamela, Barbhuiya, Mustafa, Remya Raja, Renuse, Santosh, Gajanan Sathe, Pinto, Sneha, Nazia Syed, Vishalakshi Nanjappa, Patil, Arun, Garcia, Patricia, Sahasrabuddhe, Nandini, Bipin Nair, Guerrero-Preston, Rafael, Navani, Sanjay, Tiwari, Pramod, Vani Santosh, Sidransky, David, T. Prasad, Harsha Gowda, Roa, Juan, Akhilesh Pandey, and Chatterjee, Aditi

Subjects
animal diseases, otorhinolaryngologic diseases, chemical and pharmacologic phenomena, respiratory system, biological factors, 3. Good health
Abstract

Representative images of MIF by immunohistochemistry. Representative sections from cholecystitis tissues (moderate staining) â (i) stained with hematoxylin and eosin; (ii) probed with anti-MIF antibody. Representative sections from gallbladder adenocarcinoma tissue (weak staining); (iii) stained with hematoxylin and eosin; (iv) probed with anti-MIF antibody. (PDF 1714 kb)

22. Additional file 8: of Macrophage migration inhibitory factor - a therapeutic target in gallbladder cancer

Author

Tejaswini Subbannayya, Leal-Rojas, Pamela, Barbhuiya, Mustafa, Remya Raja, Renuse, Santosh, Gajanan Sathe, Pinto, Sneha, Nazia Syed, Vishalakshi Nanjappa, Patil, Arun, Garcia, Patricia, Sahasrabuddhe, Nandini, Bipin Nair, Guerrero-Preston, Rafael, Navani, Sanjay, Tiwari, Pramod, Vani Santosh, Sidransky, David, T. Prasad, Harsha Gowda, Roa, Juan, Akhilesh Pandey, and Chatterjee, Aditi

Subjects
animal diseases, otorhinolaryngologic diseases, chemical and pharmacologic phenomena, respiratory system, biological factors, 3. Good health
Abstract

Representative images of MIF by immunohistochemistry. Representative sections from cholecystitis tissues (moderate staining) â (i) stained with hematoxylin and eosin; (ii) probed with anti-MIF antibody. Representative sections from gallbladder adenocarcinoma tissue (weak staining); (iii) stained with hematoxylin and eosin; (iv) probed with anti-MIF antibody. (PDF 1714 kb)

23. Additional file 10: of Macrophage migration inhibitory factor - a therapeutic target in gallbladder cancer

Author

Tejaswini Subbannayya, Leal-Rojas, Pamela, Barbhuiya, Mustafa, Remya Raja, Renuse, Santosh, Gajanan Sathe, Pinto, Sneha, Nazia Syed, Vishalakshi Nanjappa, Patil, Arun, Garcia, Patricia, Sahasrabuddhe, Nandini, Bipin Nair, Guerrero-Preston, Rafael, Navani, Sanjay, Tiwari, Pramod, Vani Santosh, Sidransky, David, T. Prasad, Harsha Gowda, Roa, Juan, Akhilesh Pandey, and Chatterjee, Aditi

Subjects
3. Good health
Abstract

Cell viability of GBC cell lines was measured by MTT assay after treatment with indicated concentrations of ISO-1 (a) and 4-IPP (b) for 48Â h. (PDF 769 kb)

24. Additional file 10: of Macrophage migration inhibitory factor - a therapeutic target in gallbladder cancer

Author

Tejaswini Subbannayya, Leal-Rojas, Pamela, Barbhuiya, Mustafa, Remya Raja, Renuse, Santosh, Gajanan Sathe, Pinto, Sneha, Nazia Syed, Vishalakshi Nanjappa, Patil, Arun, Garcia, Patricia, Sahasrabuddhe, Nandini, Bipin Nair, Guerrero-Preston, Rafael, Navani, Sanjay, Tiwari, Pramod, Vani Santosh, Sidransky, David, T. Prasad, Harsha Gowda, Roa, Juan, Akhilesh Pandey, and Chatterjee, Aditi

Subjects
3. Good health
Abstract

Cell viability of GBC cell lines was measured by MTT assay after treatment with indicated concentrations of ISO-1 (a) and 4-IPP (b) for 48Â h. (PDF 769 kb)

25. [Promoter hypermethylation gene patterns in gynecological tumors].

Author

Leal Rojas P, Anabalón Rodríguez L, García Muñoz P, Tapia Escalona O, Guzmán González P, Araya Orostica JC, Villaseca Hernández M, and Roa Strauch JC

Subjects
Adult, Aged, Aged, 80 and over, Female, Humans, Middle Aged, DNA Methylation, Genital Neoplasms, Female genetics, Promoter Regions, Genetic genetics
Abstract

Background and Objective: Gene silencing mediated by the aberrant methylation of the promoter region of DNA is involved in the inactivation of genes implicated in various metabolic pathways. Such a gene hypermethylation has become a useful molecular marker for the diagnosis, treatment and follow-up of cancer patients. Our objective is to analyze the patterns of gene hypermethylation in patients with gynecological tumors., Patients and Methods: We selected 115 patients with gynecological cancers: 22 ovarian; 13 endometrial, 11 cervical-uterine and 69 breast cancers. By testing methylation-specific PCR, we studied the methylation status of genes CDNK2A (p16), APC1A, FHIT, CDH1 and hMLH1., Results: The frequencies of gene methylation in genes p16, APC1A, FHIT, hMLH1 and CDH1 were 29.2%, 34%, 60.4%, 10.9% and 79.8%, respectively. 70% of cases showed at least two methylated genes, which means a rate of methylation >0.4. The lowest frequency of methylation was seen in ovarian cancer, while the highest one was observed in endometrial cancer., Conclusions: The results indicate that the aberrant methylation of the promoter region is an important event in carcinogenesis of gynecological tumors and that the pattern of gene methylation is associated with the nature of the tumor. These particular characteristics can deliver relevant information on the major metabolic pathways altered in each tumor type. In addition to complementary studies (ie, loss of expression and/or function), this represents a clinical tool for the proper management of the disease.

Published
2009
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