評論
打印
Science and technology
科學技術
Cancer genetics
癌癥遺傳學
Gene therapy
基因療法
Genetic mutations predict which cancers will respond to treatment
基因突變將預測某種治療會對哪些癌癥起作用
THE International Cancer Genome Consortium, an alliance of laboratories that is trying to produce a definitive list of the genetic mutations that cause cancer,
國際癌癥基因組協(xié)作組是試圖建立一份會引起癌癥的基因突變完整清單的實驗室聯(lián)盟，
is accumulating data at an astonishing rate.
它積累數(shù)據(jù)的速度讓人吃驚。
About 3,000 individual breast tumours, for example, have now had their genotypes published.
例如，它已經(jīng)發(fā)表了大約3000種不同的乳房腫瘤的基因型。
But these data will not, by themselves, help patients.
但光憑這些數(shù)據(jù)本身無法幫助患者。
For that, they have to be collected in the context of a drug trial.
要醫(yī)治病人，人們必須結合藥物試驗采集數(shù)據(jù)。
And this is just what Matthew Ellis and his colleagues at Washington University in St Louis have done for women suffering from breast cancer.
而這正是在圣路易斯市的華盛頓大學工作的馬修·埃利斯及其同事們?yōu)轭净既橄侔┑膵D女們所作的工作。
Their methods, if they prove to work for other cancers too, may revolutionise treatment.
如果事實證明他們的方法對其他癌癥也有用的話，這可能會是癌癥治療的一次革命。
Dr Ellis and his team sequenced the whole genomes of both cancerous and normal tissue from 46 women with tumours of a type called oestrogen-receptor-positive breast cancer.
埃利斯博士及其團隊對46名身患雌激素受體陽性乳腺癌的婦女的癌組織和正常組織進行了全基因組測序。
They also sequenced just the gene-containing regions of the genome—about 1% of total DNA—from an additional 31 women, and parts of the sequences of 240 more.
他們也對另外31名病人的基因組中含有基因的那些區(qū)域進行了測序，并對其他240名病人的這些部分做了部分測序。
They then compared the healthy and tumorous genomes of each patient, in order to discover which genes had mutated in the cancer.
此后，為找出癌細胞中哪些基因發(fā)生了突變，他們比較了每個病人的健康和癌變基因組。
In this, they were following the normal protocol of the cancer genome consortium.
他們在這一工作中是按癌癥基因組協(xié)作組的標準程序操作的，
The novelty of their approach was that the women in question had each been involved in one of two clinical trials of a drug called letrozole.
但其方法的新穎之處是，他們還同時進行一種名為來曲唑的藥物的臨床試驗。該試驗有兩種，每個病人都接受其中的一種。
These trials established letrozole as a standard treatment for people with this type of breast cancer,
這些試驗證實來曲唑是這類乳腺癌的標準治療方法，
but not all patients benefit equally from the drug.
但它對每個病人的療效并不一樣。
Dr Ellis hoped to find out why.
埃利斯博士希望找出其原因。
As they report in Nature, he and his team discovered 18 genes that were often mutated.
正如他們在《自然》雜志中所報告的那樣，埃利斯和他的團隊發(fā)現(xiàn)了18種經(jīng)常發(fā)生突變的基因，
Some were the usual suspects of cancer genetics.
其中有些是癌癥遺傳學通常懷疑的對象。
These included p53, a gene that, when working properly, suppresses cancer by regulating DNA repair, cell division and cellular suicide,
這中間包括p53，這種基因在正常工作時通過調(diào)節(jié)DNA對的修復、細胞分裂和細胞自殺來抑制癌癥；
and MAP3K1 and MAP2K4, which both promote cell growth.
還有MAP3K1和MAP2K4，它們都能促進細胞生長。
Others, though, were a surprise.
但也有些令人吃驚的其他結果。
At the top of that list were five which had previously been linked to leukaemia, but were not thought to affect solid tumours.
高踞名單前列的5種基因是人們過去認為與白血病有關的，沒想到它們也會影響實體瘤。
By combining their newly acquired genetic data with clinical data from the participants,
將他們新得到的基因數(shù)據(jù)與參與試驗者的臨床數(shù)據(jù)結合，
Dr Ellis and his colleagues showed that those whose tumours carried mutations in p53 were less likely to have responded to letrozole than women whose tumours had normal p53.
埃利斯博士等人證明了，來曲唑?qū)δ[瘤中有p53基因突變的病人的療效不如對腫瘤中p53基因正常的病人那樣顯著。
Conversely, those whose tumours had changes in either MAP3K1 or MAP2K4 had better than average responses to the drug.
與此相反，這一藥物對腫瘤中MAP3K1或MAP2K4有變化的病人的療效高于平均水平。
This sort of information has obvious implications for treatment.
這種信息對治療的含義是明顯的。
And the cheapness of modern gene-sequencing methods, particularly those that are looking for specific mutations suspected in advance,
而且，現(xiàn)代基因測序法價格低廉，尋找預先已有懷疑的某些特別的基因突變尤為便宜；
means that a tumour's mutational complement can be worked out easily in an appropriately equipped pathology laboratory.
這意味著，在擁有合適裝備的病理實驗室里，人們可以很容易地找出腫瘤基因突變的補體。
In the case of oestrogen-receptor-positive breast cancer,
就雌激素受體陽性乳腺癌來說，
the genetic analysis has not yet gone so far as to be able to say with certainty which drug will produce the best result for a given individual,
基因分析還無法肯定地告訴我們，哪種藥物對某個病人療效最佳；
but Dr Ellis's result lays a foundation on which such an edifice might be built for breast cancer and perhaps for other types of tumour, too.
但埃利斯博士的結果打下了一個基礎，或許可以在此之上為乳腺癌——甚至其他種類的癌癥——的治療建立有效的預測方法。
