Are They Worth Reading? An In-Depth Analysis of Online Trackers' Privacy Policies

We analyzed the privacy policies of 75 online tracking companies with the goal of assessing whether they contain information relevant for users to make privacy decisions. We compared privacy policies from large companies, companies that are members of self-regulatory organizations, and nonmember companies and found that many of them are silent with regard to important consumer-relevant practices including the collection and use of sensitive information and linkage of tracking data with personally-identifiable information. We evaluated these policies against self-regulatory guidelines and found that many policies are not fully compliant. Furthermore, the overly general requirements established in those guidelines allow companies to have compliant practices without providing transparency to users. Few companies disclose their data retention times or offer users the opportunity to access the information collected about them. The lack of consistent terminology to refer to affiliate and non-affiliate partners, and the mix of practices for first-party and third-party contexts make it challenging for users to clearly assess the risks associated with online tracking. We discuss options to improve the transparency of online tracking companies’ privacy practices

Are They Worth Reading? An In-Depth Analysis of Online Trackers’ Privacy Policies

We analyzed the privacy policies of 75 online tracking companies with the goal of assessing whether they contain information relevant for users to make privacy decisions. We compared privacy policies from large companies, companies that are members of self-regulatory organizations, and nonmember companies and found that many of them are silent with regard to important consumer-relevant practices including the collection and use of sensitive information and linkage of tracking data with personally-identifiable information. We evaluated these policies against self-regulatory guidelines and found that many policies are not fully compliant. Furthermore, the overly general requirements established in those guidelines allow companies to have compliant practices without providing transparency to users. Few companies disclose their data retention times or offer users the opportunity to access the information collected about them. The lack of consistent terminology to refer to affiliate and non-affiliate partners, and the mix of practices for first-party and third-party contexts make it challenging for users to clearly assess the risks associated with online tracking. We discuss options to improve the transparency of online tracking companies’ privacy practices

Are They Worth Reading? An In-Depth Analysis of Online Trackers’ Privacy Policies

We analyzed the privacy policies of 75 online tracking companies with the goal of assessing whether they contain information relevant for users to make privacy decisions. We compared privacy policies from large companies, companies that are members of self-regulatory organizations, and nonmember companies and found that many of them are silent with regard to important consumer-relevant practices including the collection and use of sensitive information and linkage of tracking data with personally-identifiable information. We evaluated these policies against self-regulatory guidelines and found that many policies are not fully compliant. Furthermore, the overly general requirements established in those guidelines allow companies to have compliant practices without providing transparency to users. Few companies disclose their data retention times or offer users the opportunity to access the information collected about them. The lack of consistent terminology to refer to affiliate and non-affiliate partners, and the mix of practices for first-party and third-party contexts make it challenging for users to clearly assess the risks associated with online tracking. We discuss options to improve the transparency of online tracking companies’ privacy practices

Genome of the facultative scuticociliatosis pathogen Pseudocohnilembus persalinus provides insight into its virulence through horizontal gene transfer

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Distribution Patterns of Infection with Multiple Types of Human Papillomaviruses and Their Association with Risk Factors

Background: Infection with multiple types of human papillomavirus (HPV) is one of the main risk factors associated with the development of cervical lesions. In this study, cervical samples collected from 1, 810 women with diverse sociocultural backgrounds, who attended to their cervical screening program in different geographical regions of Colombia, were examined for the presence of cervical lesions and HPV by Papanicolau testing and DNA PCR detection, respectively. Principal Findings: The negative binomial distribution model used in this study showed differences between the observed and expected values within some risk factor categories analyzed. Particularly in the case of single infection and coinfection with more than 4 HPV types, observed frequencies were smaller than expected, while the number of women infected with 2 to 4 viral types were higher than expected. Data analysis according to a negative binomial regression showed an increase in the risk of acquiring more HPV types in women who were of indigenous ethnicity (+37.8%), while this risk decreased in women who had given birth more than 4 times (-31.1%), or were of mestizo (-24.6%) or black (-40.9%) ethnicity. Conclusions: According to a theoretical probability distribution, the observed number of women having either a single infection or more than 4 viral types was smaller than expected, while for those infected with 2-4 HPV types it was larger than expected. Taking into account that this study showed a higher HPV coinfection rate in the indigenous ethnicity, the role of underlying factors should be assessed in detail in future studies.This project was funded by Asociacion Investigacion Solidaria SADAR, Caja Navarra (Navarra, Spain) and the Spanish Agency for International Development Cooperation (AECID) (Project 08-CAP2-0609)

The Genetic Basis of Hepatosplenic T-cell Lymphoma

Hepatosplenic T cell lymphoma (HSTL) is a rare and lethal lymphoma; the genetic drivers of this disease are unknown. Through whole exome sequencing of 68 HSTLs, we define recurrently mutated driver genes and copy number alterations in the disease. Chromatin modifying genes including SETD2, INO80 and ARID1B were commonly mutated in HSTL, affecting 62% of cases. HSTLs manifest frequent mutations in STAT5B (31%), STAT3 (9%), and PIK3CD (9%) for which there currently exist potential targeted therapies. In addition, we noted less frequent events in EZH2, KRAS and TP53. SETD2 was the most frequently silenced gene in HSTL. We experimentally demonstrated that SETD2 acts as a tumor suppressor gene. In addition, we found that mutations in STAT5B and PIK3CD activate critical signaling pathways important to cell survival in HSTL. Our work thus defines the genetic landscape of HSTL and implicates novel gene mutations linked to HSTL pathogenesis and potential treatment targets

Pregnancy and Breast Cancer: when They Collide

Women of childbearing age experience an increased breast cancer risk associated with a completed pregnancy. For younger women, this increase in breast cancer risk is transient and within a decade after parturition a cross over effect results in an ultimate protective benefit. The post-partum peak of increased risk is greater in women with advanced maternal age. Further, their lifetime risk for developing breast cancer remains elevated for many years, with the cross over to protection occurring decades later or not at all. Breast cancers diagnosed during pregnancy and within a number of years post-partum are termed pregnancy-associated or PABC. Contrary to popular belief, PABC is not a rare disease and could affect up to 40,000 women in 2009. The collision between pregnancy and breast cancer puts women in a fear-invoking paradox of their own health, their pregnancy, and the outcomes for both. We propose two distinct subtypes of PABC: breast cancer diagnosed during pregnancy and breast cancer diagnosed post-partum. This distinction is important because emerging epidemiologic data highlights worsened outcomes specific to post-partum cases. We reported that post-partum breast involution may be responsible for the increased metastatic potential of post-partum PABC. Increased awareness and detection, rationally aggressive treatment, and enhanced understanding of the mechanisms are imperative steps toward improving the prognosis for PABC. If we determine the mechanisms by which involution promotes metastasis of PABC, the post-partum period can be a window of opportunity for intervention strategies

Systematic assessment of long-read RNA-seq methods for transcript identification and quantification

The Long-read RNA-Seq Genome Annotation Assessment Project (LRGASP) Consortium was formed to evaluate the effectiveness of long-read approaches for transcriptome analysis. The consortium generated over 427 million long-read sequences from cDNA and direct RNA datasets, encompassing human, mouse, and manatee species, using different protocols and sequencing platforms. These data were utilized by developers to address challenges in transcript isoform detection and quantification, as well as de novo transcript isoform identification. The study revealed that libraries with longer, more accurate sequences produce more accurate transcripts than those with increased read depth, whereas greater read depth improved quantification accuracy. In well-annotated genomes, tools based on reference sequences demonstrated the best performance. When aiming to detect rare and novel transcripts or when using reference-free approaches, incorporating additional orthogonal data and replicate samples are advised. This collaborative study offers a benchmark for current practices and provides direction for future method development in transcriptome analysis