Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Otavia L. Caballero is active.

Publication


Featured researches published by Otavia L. Caballero.


Nature Reviews Cancer | 2005

Cancer/testis antigens, gametogenesis and cancer

Andrew J.G. Simpson; Otavia L. Caballero; Achim A. Jungbluth; Yao-Tseng Chen; Lloyd J. Old

Cancer/testis (CT) antigens, of which more than 40 have now been identified, are encoded by genes that are normally expressed only in the human germ line, but are also expressed in various tumour types, including melanoma, and carcinomas of the bladder, lung and liver. These immunogenic proteins are being vigorously pursued as targets for therapeutic cancer vaccines. CT antigens are also being evaluated for their role in oncogenesis — recapitulation of portions of the germline gene-expression programme might contribute characteristic features to the neoplastic phenotype, including immortality, invasiveness, immune evasion, hypomethylation and metastatic capacity.


Cancer Science | 2009

Cancer/testis (CT) antigens: potential targets for immunotherapy.

Otavia L. Caballero; Yao-Tseng Chen

Cancer/testis (CT) antigens are protein antigens with normal expression restricted to adult testicular germ cells, and yet are aberrantly activated and expressed in a proportion of various types of human cancer. At least a subset of this group of antigens has been found to elicit spontaneous humoral and cell‐mediated immune responses in cancer patients, raising the possibility that these antigens could be cancer vaccine targets. More than 100 CT antigen genes have been reported in the literature, with approximately 30 being members of multigene families on the X chromosome, so‐called CT‐X genes. Most CT‐X genes are expressed at the spermatogonia stage of spermatogenesis, and their functions are mostly unknown. In cancer, the frequency of CT antigen expression is highly variable among different tumor types, but is more often expressed in high‐grade late‐stage cases in general. Cancer vaccine trials based on CT antigens MAGE‐A3 and NY‐ESO‐1 are currently ongoing, and these antigens may also play a role in antigen‐specific adoptive T‐cell transfer and in the immunomodulation approach of cancer therapy. (Cancer Sci 2009)


Proceedings of the National Academy of Sciences of the United States of America | 2008

Genome-wide analysis of cancer/testis gene expression

Oliver Hofmann; Otavia L. Caballero; Brian J. Stevenson; Yao Tseng Chen; Tzeela Cohen; Ramon Chua; Christopher A. Maher; Sumir Panji; Ulf Schaefer; Adele Kruger; Minna Lehvaslaiho; Piero Carninci; Yoshihide Hayashizaki; C. Victor Jongeneel; Andrew J.G. Simpson; Lloyd J. Old; Winston Hide

Cancer/Testis (CT) genes, normally expressed in germ line cells but also activated in a wide range of cancer types, often encode antigens that are immunogenic in cancer patients, and present potential for use as biomarkers and targets for immunotherapy. Using multiple in silico gene expression analysis technologies, including twice the number of expressed sequence tags used in previous studies, we have performed a comprehensive genome-wide survey of expression for a set of 153 previously described CT genes in normal and cancer expression libraries. We find that although they are generally highly expressed in testis, these genes exhibit heterogeneous gene expression profiles, allowing their classification into testis-restricted (39), testis/brain-restricted (14), and a testis-selective (85) group of genes that show additional expression in somatic tissues. The chromosomal distribution of these genes confirmed the previously observed dominance of X chromosome location, with CT-X genes being significantly more testis-restricted than non-X CT. Applying this core classification in a genome-wide survey we identified >30 CT candidate genes; 3 of them, PEPP-2, OTOA, and AKAP4, were confirmed as testis-restricted or testis-selective using RT-PCR, with variable expression frequencies observed in a panel of cancer cell lines. Our classification provides an objective ranking for potential CT genes, which is useful in guiding further identification and characterization of these potentially important diagnostic and therapeutic targets.


Nucleic Acids Research | 2009

CTdatabase: a knowledge-base of high-throughput and curated data on cancer-testis antigens

Luiz Gonzaga Paula de Almeida; Noboru Jo Sakabe; Alice R. deOliveira; Maria Cristina C. Silva; Alex S. Mundstein; Tzeela Cohen; Yao-Tseng Chen; Ramon Chua; Sita Gurung; Sacha Gnjatic; Achim A. Jungbluth; Otavia L. Caballero; Amos Marc Bairoch; Eva Kiesler; Sarah L. White; Andrew J.G. Simpson; Lloyd J. Old; Anamaria A. Camargo; Ana Tereza Ribeiro de Vasconcelos

The potency of the immune response has still to be harnessed effectively to combat human cancers. However, the discovery of T-cell targets in melanomas and other tumors has raised the possibility that cancer vaccines can be used to induce a therapeutically effective immune response against cancer. The targets, cancer-testis (CT) antigens, are immunogenic proteins preferentially expressed in normal gametogenic tissues and different histological types of tumors. Therapeutic cancer vaccines directed against CT antigens are currently in late-stage clinical trials testing whether they can delay or prevent recurrence of lung cancer and melanoma following surgical removal of primary tumors. CT antigens constitute a large, but ill-defined, family of proteins that exhibit a remarkably restricted expression. Currently, there is a considerable amount of information about these proteins, but the data are scattered through the literature and in several bioinformatic databases. The database presented here, CTdatabase (http://www.cta.lncc.br), unifies this knowledge to facilitate both the mining of the existing deluge of data, and the identification of proteins alleged to be CT antigens, but that do not have their characteristic restricted expression pattern. CTdatabase is more than a repository of CT antigen data, since all the available information was carefully curated and annotated with most data being specifically processed for CT antigens and stored locally. Starting from a compilation of known CT antigens, CTdatabase provides basic information including gene names and aliases, RefSeq accession numbers, genomic location, known splicing variants, gene duplications and additional family members. Gene expression at the mRNA level in normal and tumor tissues has been collated from publicly available data obtained by several different technologies. Manually curated data related to mRNA and protein expression, and antigen-specific immune responses in cancer patients are also available, together with links to PubMed for relevant CT antigen articles.


Molecular Cancer Research | 2006

PIK3CA gene mutations in pediatric and adult glioblastoma multiforme

Gary L. Gallia; Vikki Rand; I. Mei Siu; Charles G. Eberhart; C. David James; Suely Kazue Nagahashi Marie; Sueli Mieko Oba-Shinjo; Carlos Gilberto Carlotti; Otavia L. Caballero; Andrew J.G. Simpson; Malcolm V. Brock; Pierre P. Massion; Benjamin S. Carson; Gregory J. Riggins

The phosphatidylinositol 3-kinases (PI3K) are a family of enzymes that relay important cellular growth control signals. Recently, a large-scale mutational analysis of eight PI3K and eight PI3K-like genes revealed somatic mutations in PIK3CA, which encodes the p110α catalytic subunit of class IA PI3K, in several types of cancer, including glioblastoma multiforme. In that report, 4 of 15 (27%) glioblastomas contained potentially oncogenic PIK3CA mutations. Subsequent studies, however, showed a significantly lower mutation rate ranging from 0% to 7%. Given this disparity and to address the relation of patient age to mutation frequency, we examined 10 exons of PIK3CA in 73 glioblastoma samples by PCR amplification followed by direct DNA sequencing. Overall, PIK3CA mutations were found in 11 (15%) samples, including several novel mutations. PIK3CA mutations were distributed in all sample types, with 18%, 9%, and 13% of primary tumors, xenografts, and cell lines containing mutations, respectively. Of the primary tumors, PIK3CA mutations were identified in 21% and 17% of pediatric and adult samples, respectively. No evidence of PIK3CA gene amplification was detected by quantitative real-time PCR in any of the samples. This study confirms that PIK3CA mutations occur in a significant number of human glioblastomas, further indicating that therapeutic targeting of this pathway in glioblastomas is of value. Moreover, this is the first study showing PIK3CA mutations in pediatric glioblastomas, thus providing a molecular target in this important pediatric malignancy. (Mol Cancer Res 2006;4(10):709–14)


Proceedings of the National Academy of Sciences of the United States of America | 2003

The generation and utilization of a cancer-oriented representation of the human transcriptome by using expressed sequence tags

Helena Brentani; Otavia L. Caballero; Anamaria A. Camargo; Aline M. da Silva; Wilson A. Silva; Emmanuel Dias Neto; Marco Grivet; Arthur Gruber; Pedro Edson Moreira Guimarães; Winston Hide; Christian Iseli; C. Victor Jongeneel; Janet Kelso; Maria Aparecida Nagai; Elida B. Ojopi; Elisson Osório; Eduardo M. Reis; Gregory J. Riggins; Andrew J.G. Simpson; Sandro J. de Souza; Brian J. Stevenson; Robert L. Strausberg; Eloiza Helena Tajara; Sergio Verjovski-Almeida

Whereas genome sequencing defines the genetic potential of an organism, transcript sequencing defines the utilization of this potential and links the genome with most areas of biology. To exploit the information within the human genome in the fight against cancer, we have deposited some two million expressed sequence tags (ESTs) from human tumors and their corresponding normal tissues in the public databases. The data currently define ≈23,500 genes, of which only ≈1,250 are still represented only by ESTs. Examination of the EST coverage of known cancer-related (CR) genes reveals that <1% do not have corresponding ESTs, indicating that the representation of genes associated with commonly studied tumors is high. The careful recording of the origin of all ESTs we have produced has enabled detailed definition of where the genes they represent are expressed in the human body. More than 100,000 ESTs are available for seven tissues, indicating a surprising variability of gene usage that has led to the discovery of a significant number of genes with restricted expression, and that may thus be therapeutically useful. The ESTs also reveal novel nonsynonymous germline variants (although the one-pass nature of the data necessitates careful validation) and many alternatively spliced transcripts. Although widely exploited by the scientific community, vindicating our totally open source policy, the EST data generated still provide extensive information that remains to be systematically explored, and that may further facilitate progress toward both the understanding and treatment of human cancers.


Proceedings of the National Academy of Sciences of the United States of America | 2009

Transcriptome-guided characterization of genomic rearrangements in a breast cancer cell line

Qi Zhao; Otavia L. Caballero; Samuel Levy; Brian J. Stevenson; Christian Iseli; Sandro J. de Souza; Pedro A. F. Galante; Dana Busam; Margaret Leversha; Kalyani Chadalavada; Yu-Hui Rogers; J. Craig Venter; Andrew J.G. Simpson; Robert L. Strausberg

We have identified new genomic alterations in the breast cancer cell line HCC1954, using high-throughput transcriptome sequencing. With 120 Mb of cDNA sequences, we were able to identify genomic rearrangement events leading to fusions or truncations of genes including MRE11 and NSD1, genes already implicated in oncogenesis, and 7 rearrangements involving other additional genes. This approach demonstrates that high-throughput transcriptome sequencing is an effective strategy for the characterization of genomic rearrangements in cancers.


International Journal of Cancer | 2008

Maternal embryonic leucine zipper kinase transcript abundance correlates with malignancy grade in human astrocytomas.

Suely Kazue Nagahashi Marie; Oswaldo Keith Okamoto; Miyuki Uno; Ana Paula G. Hasegawa; Sueli Mieko Oba-Shinjo; Tzeela Cohen; Anamaria A. Camargo; Ana Kosoy; Carlos Gilberto Carlotti; Silvia Regina Caminada de Toledo; Carlos Alberto Moreira-Filho; Marco A. Zago; Andrew J.G. Simpson; Otavia L. Caballero

We have performed cDNA microarray analyses to identify gene expression differences between highly invasive glioblastoma multiforme (GBM) and typically benign pilocytic astrocytomas (PA). Despite the significant clinical and pathological differences between the 2 tumor types, only 63 genes were found to exhibit 2‐fold or greater overexpression in GBM as compared to PA. Forty percent of these genes are related to the regulation of the cell cycle and mitosis. QT‐PCR validation of 6 overexpressed genes: MELK, AUKB, ASPM, PRC1, IL13RA2 and KIAA0101 confirmed at least a 5‐fold increase in the average expression levels in GBM. Maternal embryonic leucine zipper kinase (MELK) exhibited the most statistically significant difference. A more detailed investigation of MELK expression was undertaken to study its oncogenic relevance. In the examination of more than 100 tumors of the central nervous system, we found progressively higher expression of MELK with astrocytoma grade and a noteworthy uniformity of high level expression in GBM. Similar level of overexpression was also observed in medulloblastoma. We found neither gene promoter hypomethylation nor amplification to be a factor in MELK expression, but were able to demonstrate that MELK knockdown in malignant astrocytoma cell lines caused a reduction in proliferation and anchorage‐independent growth in in vitro assays. Our results indicate that GBM and PA differ by the expression of surprisingly few genes. Among them, MELK correlated with malignancy grade in astrocytomas and represents a therapeutic target for the management of the most frequent brain tumors in adult and children.


Oncogene | 2011

Activation of Nuclear Factor-kappa B signalling promotes cellular senescence

Emilie Rovillain; Louise Mansfield; Catia Caetano; Monica Alvarez-Fernandez; Otavia L. Caballero; René H. Medema; Holger Hummerich; Parmjit S. Jat

Cellular senescence is a programme of irreversible cell cycle arrest that normal cells undergo in response to progressive shortening of telomeres, changes in telomeric structure, oncogene activation or oxidative stress. The underlying signalling pathways, of major clinicopathological relevance, are unknown. We combined genome-wide expression profiling with genetic complementation to identify genes that are differentially expressed when conditionally immortalised human fibroblasts undergo senescence upon activation of the p16-pRB and p53-p21 tumour suppressor pathways. This identified 816 up and 961 downregulated genes whose expression was reversed when senescence was bypassed. Overlay of this data set with the meta-signatures of genes upregulated in cancer showed that nearly 50% of them were downregulated upon senescence showing that even though overcoming senescence may only be one of the events required for malignant transformation, nearly half of the genes upregulated in cancer are related to it. Moreover 65 of the up and 26 of the downregulated genes are known downstream targets of nuclear factor (NF)-κB suggesting that senescence was associated with activation of the NF-κB pathway. Direct perturbation of this pathway bypasses growth arrest indicating that activation of NF-κB signalling has a causal role in promoting senescence.


Proceedings of the National Academy of Sciences of the United States of America | 2009

CT-X antigen expression in human breast cancer.

Anita Grigoriadis; Otavia L. Caballero; Keith S. Hoek; Leonard Da Silva; Yao-Tseng Chen; Sandra J. Shin; Achim A. Jungbluth; Lance D. Miller; David Clouston; Jonathan Cebon; Lloyd J. Old; Sunil R. Lakhani; Andrew J.G. Simpson; A. Munro Neville

Cancer/testis (CT) genes are predominantly expressed in human germ line cells, but not somatic tissues, and frequently become activated in different cancer types. Several CT antigens have already proved to be useful biomarkers and are promising targets for therapeutic cancer vaccines. The aim of the present study was to investigate the expression of CT antigens in breast cancer. Using previously generated massively parallel signature sequencing (MPSS) data, together with 9 publicly available gene expression datasets, the expression pattern of CT antigens located on the X chromosome (CT-X) was interrogated. Whereas a minority of unselected breast cancers was found to contain CT-X transcripts, a significantly higher expression frequency was detected in estrogen and progesterone receptor (ER) negative breast cancer cell lines and primary breast carcinomas. A coordinated pattern of CT-X antigen expression was observed, with MAGEA and NY-ESO-1/CTAG1B being the most prevalent antigens. Immunohistochemical staining confirmed the correlation of CT-X antigen expression and ER negativity in breast tumors and demonstrated a trend for their coexpression with basal cell markers. Because of the limited therapeutic options for ER-negative breast cancers, vaccines based on CT-X antigens might prove to be useful.

Collaboration


Dive into the Otavia L. Caballero's collaboration.

Top Co-Authors

Avatar

Andrew J.G. Simpson

Ludwig Institute for Cancer Research

View shared research outputs
Top Co-Authors

Avatar

Lloyd J. Old

Memorial Sloan Kettering Cancer Center

View shared research outputs
Top Co-Authors

Avatar

André L. Vettore

Federal University of São Paulo

View shared research outputs
Top Co-Authors

Avatar

Gisele W. B. Colleoni

Federal University of São Paulo

View shared research outputs
Top Co-Authors

Avatar

Achim A. Jungbluth

Memorial Sloan Kettering Cancer Center

View shared research outputs
Top Co-Authors

Avatar

Anamaria A. Camargo

Ludwig Institute for Cancer Research

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Valéria C.C. Andrade

Federal University of São Paulo

View shared research outputs
Top Co-Authors

Avatar

Robert L. Strausberg

Ludwig Institute for Cancer Research

View shared research outputs
Top Co-Authors

Avatar

Kunle Odunsi

Roswell Park Cancer Institute

View shared research outputs
Researchain Logo
Decentralizing Knowledge