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Enregistrement W1976343694 · doi:10.1097/ede.0b013e3181afede2

Epidemiology's Contributions to a Nobel Prize Recognition

2009· article· en· W1976343694 sur OpenAlexaff
Eduardo L. Franco, Jørn Olsen, Rodolfo Saracci, Roger Detels

Notice bibliographique

RevueEpidemiology · 2009
Typearticle
Langueen
DomaineMedicine
ThématiqueCervical Cancer and HPV Research
Établissements canadiensMcGill University
Organismes subventionnairesnon disponible
Mots-clésPublic healthHuman papilloma virusHuman immunodeficiency virus (HIV)MedicinePolitical scienceCervical cancerLibrary scienceFamily medicinePathologyCancer

Résumé

récupéré en direct d'OpenAlex

The Nobel Prize Committee awarded last year's Physiology and Medicine prize to 3 scientists who identified the causes of 2 diseases that kill millions of people worldwide: HIV/AIDS and cancer of the cervix. Harald zur Hausen received half of the prize “for his discovery of human papilloma viruses causing cervical cancer” and Françoise Barré-Sinoussi and Luc Montagnier shared the other half of the award “for their discovery of human immunodeficiency virus.”1 The knowledge that stemmed directly or indirectly from the vigorous research by these 3 outstanding scientists will prevent the countless premature deaths caused by these diseases. As epidemiologists working in public health on the global scene, we applaud the Nobel Committee's decision. We hasten to add, however, that in this era in which advances in medical knowledge can come only from strong multidisciplinary approaches, the laurels of recognition to those who initiate or sustain the basic science discoveries are grounded on a foundation of public health science. Our arguments, summarized later, are self-serving. The 4 of us are card-carrying epidemiologists who have witnessed how the monumental work of the 3 Nobel laureates was validated and brought to the attention of the public and the pharmaceutical and biotechnology sector by a massive public health research undertaking championed by epidemiologists. That the Nobel Committee has chosen not to add the names of such champions is more or less understandable. The Committee has a track record of rewarding primarily the forebears of the scientific domains that led to the medical advances. There are many candidates competing for science's highest accolade, and there is only one Nobel Prize given each year in Medicine. Packaging 2 diseases into the 2008 award may have helped the Nobel Committee deal with the backlog of eminent scientists who must be recognized with as little delay as possible (the rules of the award state that the prize cannot be given posthumously). Without questioning the Nobel's modus operandi (the very glamour of the prize rests in the organization's aura of tradition and independence in reaching its decisions), we feel that the readers of Epidemiology will find comfort in being reminded of the contribution of their discipline in the accomplishments that led to a Nobel recognition in 2008, and that ultimately enabled the Nobel-Prize-winners’ work to have impact. Over history, epidemiologic studies have made many of the observations that were necessary for getting the right hypotheses to bear fruit in terms of health interventions. Robert Koch was given the Nobel Prize in 1905 for his work in tuberculosis, but he could also have received the prize for his isolation of the Vibriocholerae. Had the Nobel Committee awarded the prize for cholera, according to their current practice they would have left out John Snow who elegantly demonstrated where the infectious agent came from, how it spread and how it could be prevented. One of the lines of inquiry of the last century with most influence on public health intervention was the demonstration of the carcinogenic role of tobacco smoking. The list of pioneer epidemiologists who championed this research includes such well-known names as Doll, Hill, Peto, Wynder, and Graham, as well as others no less illustrious. Each of these epidemiologists received substantial recognition from the research community, but not a Nobel Prize. Does the Nobel Committee focus on the elucidation of mechanisms and on downstream, proximal causes rather than upstream determinants? This is the perception that comes across to the epidemiology community. From a broader professional viewpoint, the discoveries of the agents that cause AIDS and cervical cancer set in motion a cascade of other basic science discoveries in molecular biology, pathology, and immunology. Such advances augmented the body of evidence contributed by epidemiologists to form the knowledge that was eventually translated into successful health interventions, and to useful insights that now propel other scientific lines of inquiry. The role of epidemiology in helping to establish HPV infection as the cause of cervical cancer is a virtual anthology of hard-learned lessons for our discipline. Every year, cervical cancer affects half a million women worldwide, about 80% of whom live in extreme poverty in sub-Saharan Africa, Latin America, and Southeast Asia. Not uncommonly, women with cervical cancer die before the age of 45 years, and they have a proportionally higher number of children than other women of the same age. A large body of epidemiologic work that began in the 1950s2 clearly demonstrated that the disease was related to sexual practices, which pointed the way to the search for a sexually transmitted agent. On the basis of these epidemiologic observations, zur Hausen postulated in the 1970s3 a role for HPV in cervical cancer, primarily on the basis that HPV DNA could be found in most of cervical cancer biopsies. Already in the early 1970s epidemiologists had suggested infections as the possible cause of cervical cancer,4,5 but 10 years later there was much skepticism concerning the role of HPV infection in cervical cancer. Part of the problem came from the staying power of the Herpes hypothesis, which seemed to satisfy the quest for a sexually transmitted agent.6 Also, early molecular epidemiologic studies that attempted to test the causal role of HPV failed because they used imperfect tools to detect HPV DNA. In the mid to late 1980s, much of what could then be called molecular epidemiologic evidence was largely incoherent and cast doubt on the notion that HPV was the likely culprit. Because HPV infection status was often misclassified in the early studies (due to inaccurate hybridization techniques), (1) the magnitude of the association between HPV and cervical cancer was weak, (2) HPV was only weakly associated with sexual practices, and (3) when the association between sexual activity and disease risk was controlled for the presence of HPV, the relation did not disappear.7,8 Adding to the confusion and fuelling skepticism was the finding that HPV infection seemed to affect most adults.9 This finding was later retracted.10 Embarrassingly enough, these problematic findings came to light at the same time that molecular biologists obtained strong proof of concept for a carcinogenic role for HPV, showing that some viral oncogenes interfered directly with the genes that control cellular proliferation.11,12 Luckily, epidemiologists quickly regrouped following these initial observations and gained experience with the novel molecular genetic tools that were emerging in the early 1990s, such as the polymerase-chain-reaction and signal-amplification techniques. This allowed the epidemiologic community to turn the page on the earlier incoherent findings due to measurement error, and to recognize the full extent of the causal relations at play.13–15 From that point on, progress came quickly; case-control and cohort studies using modern laboratory techniques demonstrated that infection by certain genotypes of HPV is one the strongest cancer risk factors ever found.16–19 Subsequent work also produced precise estimates of relative risks that defined the HPV genotypes that had to be targeted for prevention.20 In 1995, HPVs 16 and 18 were classified as group 1 carcinogens by an expert panel convened by the International Agency for Research on Cancer,21 on which several epidemiologists served. This classification had an enormous impact in subsequent policy. The biotechnology industry began to develop HPV tests to improve the accuracy of cervical cancer screening. Also emboldened by the emerging consensus, 2 pharmaceutical companies, Merck and GlaxoSmithKline (known then as SmithKline Biologicals) began the massive research and development that, hundreds of millions of dollars and 10 years later, led to the licensing of the first prophylactic vaccines against HPV and the diseases that it causes. Did epidemiologists help or did they delay the scientific process that led to today's novel HPV-based interventions to prevent cervical cancer? This debate took partisan overtones in 2001 in an exchange between zur Hausen and some of us. In his opinion (presumably shared by a large number of basic scientists), the knowledge that could have propelled successful biomedical interventions was already available in the late 1980s.22 In our opinion, “in the late 1980s it seemed prudent … to wait until consistent epidemiologic data supported the inferences from molecular biologic studies.”23 Clearly, the standard for proving a causal role for HPV in cervical cancer became one of the most stringent in all of cancer prevention. In hindsight, the early missteps of epidemiology could not have been avoided. What is remarkable, however, was how fast the lessons were learned. This led to a vigorous multidisciplinary collaboration to solve the puzzle that brought us today's cervical cancer control interventions and strengthened the case for the meritorious Nobel Prize to Professor zur Hausen. He, more than most basic scientists, now appreciates the value of epidemiology in inspiring discoveries and in providing the translational roadmap for successful health interventions. In fact the HPV-cervical cancer story underscores the importance of multiple disciplines in recognition of disease pathogenesis. In this process epidemiologic observations often “start the ball rolling!” Epidemiologists can take pride in the fact that they identified the main upstream causes of cervical cancer at an early stage. A causal conclusion concerning the role of HPV could not have come at an earlier stage without violating the discipline's most basic tenets in establishing etiologic relations. Kirkegard said that life can only be understood in retrospect but you have to live life forward in time. In hindsight, HPV could have been classified as a carcinogen at an earlier stage, but such an early decision would have come at the expense of suppressing the emergence of a body of epidemiologic evidence that now serves as the foundation for promising cervical cancer prevention technologies.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,004
score de la tête « metaresearch » (Gemma)0,053
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMétarecherche, Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesCharge utile insuffisante (le modèle a refusé de juger)
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Commentaire · Signal consensuel: aucune
Score de désaccord entre enseignants0,777
Score d'incertitude au seuil0,999

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0040,053
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0030,001

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,179
Tête enseignante GPT0,491
Écart entre enseignants0,313 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; les deux têtes enseignantes s’accordent sur ce qui est montré ici.

Devis d'étudeObservationnel
Domainenon disponible
GenreCommentaire

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations6
Publié2009
Routes d'admission1
Résumé présentoui

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