Hetal Desai Marble

Harvard University

*This is an algorithmically generated author record based on publicly available information.

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The organizations/institutes from the scholar's latest article

Harvard University

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The organizations / institutes from the scholar's other articles in the past ten years

Massachusetts General Hospital

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Research Interests

Hetal Desai Marble has a total of 36 co-authors. Here are the top co-authors by number of shared publications:

Jochen K. Lennerz
BostonGene, Waltham, USA
23 shared publications
Alexander Farahani
Departments of Pathology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, 02114, USA
22 shared publications
Austin Hendricks
Department of Biology, University of New Mexico
22 shared publications
Enrico Moiso
Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
22 shared publications
Salil Garg
Laboratory Medicine and Pathology, Yale University, New Haven, Connecticut
22 shared publications
Samuel Mildrum
Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts
22 shared publications

Latest Publications

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Open Access
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Google Scholar
- 4 April 2023
- Published by American Association for Cancer Research (AACR)
Supplementary Table from Developmental Deconvolution for Classification of Cancer Origin
by Enrico Moiso, Alexander Farahani, Hetal D. Marble, Austin Hendricks, Samuel Mildrum, Stuart Levine, Jochen K. Lennerz, Salil Garg
Supplementary Table from Developmental Deconvolution for Classification of Cancer Origin
Website
Google Scholar
- 4 April 2023
- Published by American Association for Cancer Research (AACR)
Open Access
Supplementary Table from Developmental Deconvolution for Classification of Cancer Origin
by Enrico Moiso, Alexander Farahani, Hetal D. Marble, Austin Hendricks, Samuel Mildrum, Stuart Levine, Jochen K. Lennerz, Salil Garg
Supplementary Table from Developmental Deconvolution for Classification of Cancer Origin
Open Access
Website
Google Scholar
- 4 April 2023
- Published by American Association for Cancer Research (AACR)
Supplementary Table from Developmental Deconvolution for Classification of Cancer Origin
by Enrico Moiso, Alexander Farahani, Hetal D. Marble, Austin Hendricks, Samuel Mildrum, Stuart Levine, Jochen K. Lennerz, Salil Garg
Supplementary Table from Developmental Deconvolution for Classification of Cancer Origin
Website
Google Scholar
- 4 April 2023
- Published by American Association for Cancer Research (AACR)
Open Access
Supplementary Table from Developmental Deconvolution for Classification of Cancer Origin
by Enrico Moiso, Alexander Farahani, Hetal D. Marble, Austin Hendricks, Samuel Mildrum, Stuart Levine, Jochen K. Lennerz, Salil Garg
Supplementary Table from Developmental Deconvolution for Classification of Cancer Origin
Open Access
Website
Google Scholar
- 4 April 2023
- Published by American Association for Cancer Research (AACR)
Supplementary Table from Developmental Deconvolution for Classification of Cancer Origin
by Enrico Moiso, Alexander Farahani, Hetal D. Marble, Austin Hendricks, Samuel Mildrum, Stuart Levine, Jochen K. Lennerz, Salil Garg
Supplementary Table from Developmental Deconvolution for Classification of Cancer Origin
Website
Google Scholar
- 4 April 2023
- Published by American Association for Cancer Research (AACR)
Open Access
Supplementary Table from Developmental Deconvolution for Classification of Cancer Origin
by Enrico Moiso, Alexander Farahani, Hetal D. Marble, Austin Hendricks, Samuel Mildrum, Stuart Levine, Jochen K. Lennerz, Salil Garg
Supplementary Table from Developmental Deconvolution for Classification of Cancer Origin
Open Access
Website
Google Scholar
- 4 April 2023
- Published by American Association for Cancer Research (AACR)
Supplementary Figure from Developmental Deconvolution for Classification of Cancer Origin
by Enrico Moiso, Alexander Farahani, Hetal D. Marble, Austin Hendricks, Samuel Mildrum, Stuart Levine, Jochen K. Lennerz, Salil Garg
Supplementary Figure from Developmental Deconvolution for Classification of Cancer Origin
Website
Google Scholar
- 4 April 2023
- Published by American Association for Cancer Research (AACR)
Open Access
Supplementary Figure from Developmental Deconvolution for Classification of Cancer Origin
by Enrico Moiso, Alexander Farahani, Hetal D. Marble, Austin Hendricks, Samuel Mildrum, Stuart Levine, Jochen K. Lennerz, Salil Garg
Supplementary Figure from Developmental Deconvolution for Classification of Cancer Origin
Open Access
Website
Google Scholar
- 4 April 2023
- Published by American Association for Cancer Research (AACR)
Supplementary Table from Developmental Deconvolution for Classification of Cancer Origin
by Enrico Moiso, Alexander Farahani, Hetal D. Marble, Austin Hendricks, Samuel Mildrum, Stuart Levine, Jochen K. Lennerz, Salil Garg
Supplementary Table from Developmental Deconvolution for Classification of Cancer Origin
Website
Google Scholar
- 4 April 2023
- Published by American Association for Cancer Research (AACR)
Open Access
Supplementary Table from Developmental Deconvolution for Classification of Cancer Origin
by Enrico Moiso, Alexander Farahani, Hetal D. Marble, Austin Hendricks, Samuel Mildrum, Stuart Levine, Jochen K. Lennerz, Salil Garg
Supplementary Table from Developmental Deconvolution for Classification of Cancer Origin
Open Access
Website
Google Scholar
- 4 April 2023
- Published by American Association for Cancer Research (AACR)
Supplementary Table from Developmental Deconvolution for Classification of Cancer Origin
by Enrico Moiso, Alexander Farahani, Hetal D. Marble, Austin Hendricks, Samuel Mildrum, Stuart Levine, Jochen K. Lennerz, Salil Garg
Supplementary Table from Developmental Deconvolution for Classification of Cancer Origin
Website
Google Scholar
- 4 April 2023
- Published by American Association for Cancer Research (AACR)
Open Access
Supplementary Table from Developmental Deconvolution for Classification of Cancer Origin
by Enrico Moiso, Alexander Farahani, Hetal D. Marble, Austin Hendricks, Samuel Mildrum, Stuart Levine, Jochen K. Lennerz, Salil Garg
Supplementary Table from Developmental Deconvolution for Classification of Cancer Origin
Open Access
Website
Google Scholar
- 4 April 2023
- Published by American Association for Cancer Research (AACR)
Supplementary Table from Developmental Deconvolution for Classification of Cancer Origin
by Enrico Moiso, Alexander Farahani, Hetal D. Marble, Austin Hendricks, Samuel Mildrum, Stuart Levine, Jochen K. Lennerz, Salil Garg
Supplementary Table from Developmental Deconvolution for Classification of Cancer Origin
Website
Google Scholar
- 4 April 2023
- Published by American Association for Cancer Research (AACR)
Open Access
Supplementary Table from Developmental Deconvolution for Classification of Cancer Origin
by Enrico Moiso, Alexander Farahani, Hetal D. Marble, Austin Hendricks, Samuel Mildrum, Stuart Levine, Jochen K. Lennerz, Salil Garg
Supplementary Table from Developmental Deconvolution for Classification of Cancer Origin
Open Access
Website
Google Scholar
- 4 April 2023
- Published by American Association for Cancer Research (AACR)
Supplementary Table from Developmental Deconvolution for Classification of Cancer Origin
by Enrico Moiso, Alexander Farahani, Hetal D. Marble, Austin Hendricks, Samuel Mildrum, Stuart Levine, Jochen K. Lennerz, Salil Garg
Supplementary Table from Developmental Deconvolution for Classification of Cancer Origin
Website
Google Scholar
- 4 April 2023
- Published by American Association for Cancer Research (AACR)
Open Access
Supplementary Table from Developmental Deconvolution for Classification of Cancer Origin
by Enrico Moiso, Alexander Farahani, Hetal D. Marble, Austin Hendricks, Samuel Mildrum, Stuart Levine, Jochen K. Lennerz, Salil Garg
Supplementary Table from Developmental Deconvolution for Classification of Cancer Origin
Open Access
Website
Google Scholar
- 4 April 2023
- Published by American Association for Cancer Research (AACR)
Supplementary Table from Developmental Deconvolution for Classification of Cancer Origin
by Enrico Moiso, Alexander Farahani, Hetal D. Marble, Austin Hendricks, Samuel Mildrum, Stuart Levine, Jochen K. Lennerz, Salil Garg
Supplementary Table from Developmental Deconvolution for Classification of Cancer Origin
Website
Google Scholar
- 4 April 2023
- Published by American Association for Cancer Research (AACR)
Open Access
Supplementary Table from Developmental Deconvolution for Classification of Cancer Origin
by Enrico Moiso, Alexander Farahani, Hetal D. Marble, Austin Hendricks, Samuel Mildrum, Stuart Levine, Jochen K. Lennerz, Salil Garg
Supplementary Table from Developmental Deconvolution for Classification of Cancer Origin
Open Access
Website
Google Scholar
- 4 April 2023
- Published by American Association for Cancer Research (AACR)
Data from Developmental Deconvolution for Classification of Cancer Origin
by Enrico Moiso, Alexander Farahani, Hetal D. Marble, Austin Hendricks, Samuel Mildrum, Stuart Levine, Jochen K. Lennerz, Salil Garg
Cancer is partly a developmental disease, with malignancies named based on cell or tissue of origin. However, a systematic atlas of tumor origins is lacking. Here we map the single-cell organogenesis of 56 developmental trajectories to the transcriptomes of over 10,000 tumors across 33 cancer types. We deconvolute tumor transcriptomes into signals for individual developmental trajectories. Using these signals as inputs, we construct a developmental multilayer perceptron (D-MLP) classifier that outputs cancer origin. D-MLP (ROC-AUC: 0.974 for top prediction) outperforms benchmark classifiers. We analyze tumors from patients with cancer of unknown primary (CUP), selecting the most difficult cases in which extensive multimodal workup yielded no definitive tumor type. Interestingly, CUPs form groups distinguished by developmental trajectories, and classification reveals diagnosis for patient tumors. Our results provide an atlas of tumor developmental origins, provide a tool for diagnostic pathology, and suggest developmental classification may be a useful approach for patient tumors.Significance:Here we map the developmental trajectories of tumors. We deconvolute tumor transcriptomes into signals for mammalian developmental programs and use this information to construct a deep learning classifier that outputs tumor type. We apply the classifier to CUP and reveal the developmental origins of patient tumors.See related commentary by Wang, p. 2498.This article is highlighted in the In This Issue feature, p. 2483
Website
Google Scholar
- 4 April 2023
- Published by American Association for Cancer Research (AACR)
Open Access
Data from Developmental Deconvolution for Classification of Cancer Origin
by Enrico Moiso, Alexander Farahani, Hetal D. Marble, Austin Hendricks, Samuel Mildrum, Stuart Levine, Jochen K. Lennerz, Salil Garg
Cancer is partly a developmental disease, with malignancies named based on cell or tissue of origin. However, a systematic atlas of tumor origins is lacking. Here we map the single-cell organogenesis of 56 developmental trajectories to the transcriptomes of over 10,000 tumors across 33 cancer types. We deconvolute tumor transcriptomes into signals for individual developmental trajectories. Using these signals as inputs, we construct a developmental multilayer perceptron (D-MLP) classifier that outputs cancer origin. D-MLP (ROC-AUC: 0.974 for top prediction) outperforms benchmark classifiers. We analyze tumors from patients with cancer of unknown primary (CUP), selecting the most difficult cases in which extensive multimodal workup yielded no definitive tumor type. Interestingly, CUPs form groups distinguished by developmental trajectories, and classification reveals diagnosis for patient tumors. Our results provide an atlas of tumor developmental origins, provide a tool for diagnostic pathology, and suggest developmental classification may be a useful approach for patient tumors.Significance:Here we map the developmental trajectories of tumors. We deconvolute tumor transcriptomes into signals for mammalian developmental programs and use this information to construct a deep learning classifier that outputs tumor type. We apply the classifier to CUP and reveal the developmental origins of patient tumors.See related commentary by Wang, p. 2498.This article is highlighted in the In This Issue feature, p. 2483

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