One patient, two lesions, two oncogenic drivers of gastric cancer
© Alsinet et al.; licensee BioMed Central 2014
Published: 27 August 2014
Deep-sequencing of a primary tumor and metastasis from a single patient, and functional validation in culture, reveals that TGFBR2 and FGFR2 act as drivers of gastric cancer.
When talking about cancer genome studies, big does not necessarily mean beautiful, and, as illustrated by Nadauld and colleagues  in this edition of Genome Biology, the careful analysis of just one gastric cancer patient can provide profound insights into the drivers of tumorigenesis. Recent estimates of the worldwide gastric cancer burden show that it is the fifth most commonly diagnosed cancer, and the third-leading cause of cancer death . Current treatment options for early disease include surgical resection together with neoadjuvant or adjuvant chemotherapy, but five-year survival is only <60% . Patients with advanced disease are treated with chemotherapy or chemoradiotherapy and show a median survival of around 12 months, whereas patients with a high level of expression of HER2 (also known as ERBB2, encoding receptor tyrosine-protein kinase erbB-2) receive adjuvant trastuzumab (monoclonal antibody against HER2) and can be expected to have a median survival of 16 months . Overall, gastric cancer is a disease with a dismal prognosis. When analyzing cancer genomes, our inclination has always been to sequence large numbers of tumors so as to draw the landscape of mutations. The deluge of data that ensues makes it difficult to read the life-history of each cancer or to appreciate the stories they may tell.
Here, Nadauld and colleagues  report the identification of candidate oncogenic drivers by undertaking exome and whole-genome sequence analysis of tumors from a single patient, followed by robust experimental validation. The patient they studied presented with a diffuse gastric cancer and a family history of the disease. Germline sequence analysis of CDH1 (encoding the adhesion protein cadherin-1), a known driver, revealed an essential splice-site mutation co-segregating within the pedigree. Subsequent sequencing of a primary tumor from this patient and of a metastatic lesion revealed several drivers - an amplification of the FGFR2 locus (encoding fibroblast growth factor receptor 2) that was found exclusively in the primary, and a deletion in the gene TGFBR2 (encoding TGF-beta receptor type-2) found exclusively in the metastasis. In this paper, it was not so much that the authors set out to tell a story of gastric cancer - rather, the complete story of this cancer and its evolution, and make it a good read.
The power of N = 1
In the world of clinical trials, the value of N = 1 (also known as ‘N of 1’) studies has long been appreciated. In this scenario, brave souls who are not yet ‘done’, or who are unwilling to accept their fate, step forward to try new experimental therapies. Albert Alexander, for example, was the fourth patient to receive penicillin from Howard Florey, and the profound anti-bacterial response it elicited was key to its clinical development. Likewise, dramatic responses in single patients treated with cancer therapies such as inhibitors of the serine/threonine-protein kinase B-raf (BRAF) and cytotoxic T-lymphocyte protein 4 (CTLA-4) have been key . Yet, as cancer genome scientists, as soon as we could drown ourselves in data, we did.
This result challenges the dogma that metastasis occurs late during cancer progression and suggests strategies that kill occult cancer cells where they lie are important adjuvants to surgery. Importantly, the early dissemination of tumor cells poses some challenges in the clinical management of advanced disease. First, although genomic analysis revealed that inhibitors of FGFR2 could be used to treat the primary lesion, they are unlikely to elicit a response in the metastasis. As it is the metastatic abdominal mass that represents the highest risk for the patient, treatment on the basis of changes found in the genome of the primary would represent wasted intervention time. This case had just one primary and one metastasis; some cases have dozens of metastatic lesions or synchronous primary tumors, compounding the challenge of personalizing cancer therapy. It appears that there can be no half-measures in profiling a patient’s disease. The complexity of cancer evolution does not make personalized therapy hopeless, just challenging, and it is only through the kind of molecular cartography described by Nadauld and colleagues  that we will be able to understand this disease.
The value of N = 1 cancer-genome studies is soon to be further tested as efforts to analyze the genomes of ‘exceptional responders’ - those patients whose response to therapy marks them as both lucky and different - gather pace. One particularly startling example of this approach was the sequencing of the genome of a single small-cell lung cancer patient, resulting in the identification of a RAD50 mutation as a factor contributing to the patient’s profound curative response to combination chemotherapy (AZD7762 - an inhibitor of the serine/threonine-protein kinases Chk1 and Chk2 - and irinotecan, an inhibitor of topoisomerase 1) . Most oncologists have stories of similar patients who, by all reckoning, should not have survived their disease; with sequencing, we will understand why, and this will help sculpt treatments for all patients.
The right model of cancer, not just any model
Oncogenic transformation is a complex multistep process, and the precise number of alterations required is still an on-going debate. Nevertheless, it is widely accepted that, in most cancers, multiple hits contribute to the final tumorigenic phenotype. The identification of sets of alterations that cooperatively induce transformation is crucial in order to interrogate candidate oncogenic drivers in the appropriate genetic context. Here, Nadauld and colleagues perform all their validation experiments in the context of loss of CDH1 and TP53. First, by using the gastric cancer cell-line KATOIII, which carries an amplification of FGFR2 in addition to CDH1 and TP53 loss, they show response to inhibitors of FGF pathway tyrosine kinases and a therapeutic avenue that is potentially efficacious for the primary tumor. Notably, however, inhibitors of FGFR2 have not been formally approved for gastric cancer. Second, an organoid-based model, discussed below, is used to test TGFBR2 as a tumor suppressor and to assess its metastatic potential. Importantly, Nadauld et al. did not choose any model - instead, they carefully selected the right models, with functional validation of driver mutations being an integral part of the story, rather than an afterthought or footnote performed with ‘reviewer 3’ in mind.
Organoid-based 'cancer engineering' as a validation strategy
Next-generation sequencing studies have flooded the literature with lists of candidate cancer genes, but these are just the ‘table of contents’ to the story of a cancer type . The real story unfolds with functional studies that investigate how each individual cancer is wired. In addition to the cell-line studies described above, Nadauld and colleagues use a novel three-dimensional in vitro organoid model that consists of primary epithelial and mesenchymal gastric cells. As recently published by the same authors , this model allows for in vitro 'cancer engineering' through transfection of candidate or known oncogenic drivers into murine primary wild-type cells from the tissue of interest. Additionally, the presence of both epithelial and mesenchymal cells, and the three-dimensional nature of these organoids, accurately reproduces the complexity of the tissue of origin and its histopathology. As mentioned above, the in vitro oncogenic transforming potential of downregulation of Tgfbr2 was tested on a background of loss of Cdh1 and Tp53 (Cdh1 -/- ; Tp53 -/- ), with histopathological characterization of the resulting organoids revealing a key role for Tgfbr2 downregulation in a diffuse gastric cancer phenotype. Interestingly, disaggregated Cdh1-/-; Tp53-/- organoids expressing small hairpin RNA (shRNA) targeting Tgfbr2, when injected subcutaneously into immunodeficient mice, showed increased tumor growth compared with Cdh1-/-; Tp53-/- control cells.Furthermore, the distal spread of cells from the injection site into the lungs of the mice was observed, thus confirming the metastatic potential of the Cdh1-/-; Tp53-/-; Tgfbr2 knockdown cells (Figure 1).
The route ahead via N = 1
At heart, many of us are reductionists seeking to understand simple questions through the lens of genome sequencing. Just as the N = 1 clinical trial has profoundly informed us of new paths to therapy, the N = 1 cancer genome will increasingly be used to identify the key molecular factors that drive cancer evolution and mediate response to therapy. Recent studies, for example, have used N = 1 approaches to define new driver mutations and mutational signatures in melanoma and to hunt down the clone of origin for a lethal prostate cancer -. Nadauld and colleagues further illustrate the power of an N = 1 analysis - the advantage of combining these endeavors with functional studies and the value of every cancer patient’s story.
Serine/threonine-protein kinase B-raf
Cytotoxic T-lymphocyte protein 4
Fibroblast growth factor
Fibroblast growth factor receptor
Tyrosine-protein kinase erbB-2
TGF-beta receptor type-2
Cellular tumor antigen p53
CA, MR and DJA are funded by Cancer Research UK and the ERC Synergy Grant “Combat Cancer”.
- Nadauld LD, Garcia S, Natsoulis G, Bell JM, Miotke L, Hopmans ES, Xu H, Pai RK, Palm C, Regan JF, Chen H, Flaherty P, Ootani A, Zhang NR, Ford JM, Kuo CJ, Ji HP: Metastatic tumor evolution in diffuse gastric cancer and organoid modeling implicate TGFBR2 as a potential driver.Genome Biol 2014, 15:428,PubMedPubMed CentralView ArticleGoogle Scholar
- Ferlay J, Soerjomataram I, Ervik M, Dikshit R, Eser S, Mathers C, Rebelo M, Parkin DM, Forman D, Bray F: GLOBOCAN 2012: Estimated Cancer Incidence, Mortality and Prevalence Worldwide in 2012.., [http://globocan.iarc.fr]
- Thrumurthy SG, Chaudry MA, Hochhauser D, Mughal M: The diagnosis and management of gastric cancer. BMJ. 2013, 347: f6367-10.1136/bmj.f6367.PubMedView ArticleGoogle Scholar
- Hodi FS, Butler M, Oble DA, Seiden MV, Haluska FG, Kruse A, Macrae S, Nelson M, Canning C, Lowy I, Korman A, Lautz D, Russell S, Jaklitsch MT, Ramaiya N, Chen TC, Neuberg D, Allison JP, Mihm MC, Dranoff G: Immunologic and clinical effects of antibody blockade of cytotoxic T lymphocyte-associated antigen 4 in previously vaccinated cancer patients. Proc Natl Acad Sci U S A. 2008, 105: 3005-3010. 10.1073/pnas.0712237105.PubMedPubMed CentralView ArticleGoogle Scholar
- Al-Ahmadie H, Iyer G, Hohl M, Asthana S, Inagaki A, Schultz N, Hanrahan AJ, Scott SN, Brannon AR, McDermott GC, Pirun M, Ostrovnaya I, Kim P, Socci ND, Viale A, Schwartz GK, Reuter V, Bochner BH, Rosenberg JE, Bajorin DF, Berger MF, Petrini JH, Solit DB, Taylor BS: Synthetic lethality in ATM-deficient RAD50-mutant tumors underlie outlier response to cancer therapy.Cancer Discov 2014. doi:10.1158/2159-8290.CD-14-0380.,
- Chin L, Hahn WC, Getz G, Meyerson M: Making sense of cancer genomic data. Genes Dev. 2011, 25: 534-555. 10.1101/gad.2017311.PubMedPubMed CentralView ArticleGoogle Scholar
- Li X, Nadauld L, Ootani A, Corney DC, Pai RK, Gevaert O, Cantrell MA, Rack PG, Neal JT, Chan CW, Yeung T, Gong X, Yuan J, Wilhelmy J, Robine S, Attardi LD, Plevritis SK, Hung KE, Chen CZ, Ji HP, Kuo CJ: Oncogenic transformation of diverse gastrointestinal tissues in primary organoid culture. Nat Med. 2014, 20: 769-777. 10.1038/nm.3585.PubMedPubMed CentralView ArticleGoogle Scholar
- Busser B, Leccia MT, Gras-Combe G, Bricault I, Templier I, Claeys A, Richard MJ, de Fraipont F, Charles J: Identification of a novel complex BRAF mutation associated with major clinical response to vemurafenib in a patient with metastatic melanoma. JAMA Dermatol. 2013, 149: 1403-1406. 10.1001/jamadermatol.2013.8198.PubMedView ArticleGoogle Scholar
- Turajlic S, Furney SJ, Lambros MB, Mitsopoulos C, Kozarewa I, Geyer FC, Mackay A, Hakas J, Zvelebil M, Lord CJ, Ashworth A, Thomas M, Stamp G, Larkin J, Reis-Filho JS, Marais R: Whole genome sequencing of matched primary and metastatic acral melanomas. Genome Res. 2012, 22: 196-207. 10.1101/gr.125591.111.PubMedPubMed CentralView ArticleGoogle Scholar
- Haffner MC, Mosbruger T, Esopi DM, Fedor H, Heaphy CM, Walker DA, Adejola N, Gürel M, Hicks J, Meeker AK, Halushka MK, Simons JW, Isaacs WB, De Marzo AM, Nelson WG, Yegnasubramanian S: Tracking the clonal origin of lethal prostate cancer. J Clin Invest. 2013, 123: 4918-4922. 10.1172/JCI70354.PubMedPubMed CentralView ArticleGoogle Scholar
This article is published under license to BioMed Central Ltd. The licensee has exclusive rights to distribute this article, in any medium, for 12 months following its publication. After this time, the article is available under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.