Leveraging insights from cancer to improve tuberculosis therapy

Authors: Datta, Meenal ^{1, ⁎}, Via, Laura E. ², Dartois, Véronique ^{3, 4}, Xu, Lei ⁵, Barry, Clifton E., III ^{2, ⁎}, Jain, Rakesh K. ^{5, ⁎}

Source: In Trends in Molecular Medicine January 2025 31(1):11-20

Impact of Angiotensin Converting Enzyme Inhibitors on Pathologic Complete Response With Neoadjuvant Chemotherapy for Muscle Invasive Bladder Cancer

Authors: Skelton, William Paul, IV ^{1, 2}, Masur, Jack ¹, Thomas, Jonathan ³, Fallah, Parvaneh ⁴, Jain, Rohit K. ², Ravi, Praful ³, Mantia, Charlene ³, McGregor, Bradley Alexander ³, Nuzzo, Pier Vitale ³, Adib, Elio ³, Zarif, Talal El ³, Preston, Mark A. ⁵, Clinton, Timothy Nguyen ⁵, Li, Roger ², Steele, Graeme S. ⁵, Kassouf, Wassim ⁴, Freeman, Dory ³, Pond, Gregory Russell ⁶, Jain, Rakesh K. ⁷, Sonpavde, Guru P. ^{3, 8, ⁎}

Source: In Clinical Genitourinary Cancer October 2024 22(5)

Dendritic cell paucity in mismatch repair–proficient colorectal cancer liver metastases limits immune checkpoint blockade efficacy

Authors: Ho, William W., Gomes-Santos, Igor L., Aoki, Shuichi, Datta, Meenal, Kawaguchi, Kosuke, Talele, Nilesh P., Roberge, Sylvie, Ren, Jun, Liu, Hao, Chen, Ivy X., Andersson, Patrik, Chatterjee, Sampurna, Kumar, Ashwin S., Amoozgar, Zohreh, Zhang, Qixian, Huang, Peigen, Ng, Mei Rosa, Chauhan, Vikash P., Xu, Lei, Duda, Dan G., Clark, Jeffrey W., Pittet, Mikael J., Fukumura, Dai, Jain, Rakesh K.

Source: Proceedings of the National Academy of Sciences of the United States of America, 2021 Nov 01. 118(45), 1-12.

Access URL: https://www.jstor.org/stable/27093669

Comparative Assessment of Artificial Neural Networks (ANNs), Long Short Term Memory Network (LSTM) and Hydrologic Engineering Centre-Hydrologic Modelling System (HEC-HMS) for Runoff Modelling.

Authors: Deulkar, Aparna M., Dixit, Pradnya R., Londhe, Shreenivas N., Jain, Rakesh K.

Source: Water Resources Management; Mar2025, Vol. 39 Issue 5, p2049-2068, 20p

Subject Terms: LONG short-term memory, RUNOFF, RUNOFF models, ARTIFICIAL neural networks, STANDARD deviations

Impact of renin-angiotensin system inhibitors on outcomes in patients with metastatic renal cell carcinoma treated with immune-checkpoint inhibitors

Authors: Nuzzo, Pier Vitale, Adib, Elio, Weise, Nicole, Curran, Catherine, Stewart, Tyler, Freeman, Dory, Nassar, Amin H., Abou Alaiwi, Sarah, Bakouny, Ziad, McGregor, Bradley A., Choueiri, Toni K., Jain, Rakesh K., McKay, Rana R., Sonpavde, Guru

Source: In Clinical Genitourinary Cancer August 2022 20(4):301-306

Normalizing tumor microenvironment with nanomedicine and metronomic therapy to improve immunotherapy

Authors: Mpekris, Fotios, Voutouri, Chrysovalantis, Panagi, Myrofora, Baish, James W., Jain, Rakesh K., Stylianopoulos, Triantafyllos

Source: In Journal of Controlled Release May 2022 345:190-199

Design rules for cancer nanomedicines

Authors: Stylianopoulos, Triantafyllos, Soteriou, Konstantinos, Fukumura, Dai, Jain, Rakesh K.

Source: 2012 IEEE 12th International Conference on Bioinformatics & Bioengineering (BIBE) Bioinformatics & Bioengineering (BIBE), 2012 IEEE 12th International Conference on. :529-534 Nov, 2012

Relation: 2012 IEEE 12th International Conference on Bioinformatics & Bioengineering (BIBE)

Strategies to minimize heterogeneity and optimize clinical trials in Acute Respiratory Distress Syndrome (ARDS): Insights from mathematical modelling

Authors: Subudhi, Sonu, Voutouri, Chrysovalantis, Hardin, C. Corey, Nikmaneshi, Mohammad Reza, Patel, Ankit B., Verma, Ashish, Khandekar, Melin J., Dutta, Sayon, Stylianopoulos, Triantafyllos, Jain, Rakesh K., Munn, Lance L.

Source: In eBioMedicine January 2022 75

In silico dynamics of COVID-19 phenotypes for optimizing clinical management

Authors: Voutouri, Chrysovalantis, Nikmaneshi, Mohammad Reza, Hardin, C. Corey, Patel, Ankit B., Verma, Ashish, Khandekar, Melin J., Dutta, Sayon, Stylianopoulos, Triantafyllos, Munn, Lance L., Jain, Rakesh K.

Source: Proceedings of the National Academy of Sciences of the United States of America, 2021 Jan . 118(3), 1-8.

Access URL: https://www.jstor.org/stable/27012201

A bilateral tumor model identifies transcriptional programs associated with patient response to immune checkpoint blockade

Authors: Chen, Ivy X., Newcomer, Kathleen, Pauken, Kristen E., Juneja, Vikram R., Naxerova, Kamila, Wu, Michelle W., Pinter, Matthias, Sen, Debattama R., Singer, Meromit, Sharpe, Arlene H., Jain, Rakesh K.

Source: Proceedings of the National Academy of Sciences of the United States of America, 2020 Sep . 117(38), 23684-23694.

Access URL: https://www.jstor.org/stable/26969339

Angiotensin Blockade Modulates the Activity of PD1/L1 Inhibitors in Metastatic Urothelial Carcinoma

Authors: Jain, Rohit K., Skelton IV, William Paul, Pond, Gregory Russell, Naqvi, Mahrukh, Kim, Youngchul, Curran, Catherine, Freeman, Dory, Nuzzo, Pier Vitale, Alaiwi, Sarah Abou, Nassar, Amin H., Jain, Rakesh K., Sonpavde, Guru

Source: In Clinical Genitourinary Cancer December 2021 19(6):540-546

Using mathematical modelling and AI to improve delivery and efficacy of therapies in cancer

Authors: Harkos, Constantinos, Hadjigeorgiou, Andreas G., Voutouri, Chrysovalantis, Kumar, Ashwin S., Stylianopoulos, Triantafyllos, Jain, Rakesh K.

Source: Nature Reviews Cancer; May 2025, Vol. 25 Issue: 5 p324-340, 17p

System and method for measuring solid stress in tissues

Targeting EPHB2/ABL1 restores antitumor immunity in preclinical models of ependymoma.

Authors: Jun Ren¹, Amoozgar, Zohreh¹, Uccello, Taylor P.¹, Pin-Ji Lei¹, Yuhui Zhao¹, Ho, William W.¹, Peigen Huang¹, Kardian, Alisha^2,3,4,5, Mack, Stephen C.^2,3,4,5, Duda, Dan G.¹, Lei Xu¹, Jain, Rakesh K.¹, rjain@mgh.harvard.edu

Source: Proceedings of the National Academy of Sciences of the United States of America; 1/28/2025, Vol. 122 Issue 4, p1-11, 18p

Fixation alters the physical properties of tumor tissue that regulate nanomedicine transport.

Authors: Martin, John D., Mpekris, Fotios, Chauhan, Vikash P., Martin, Margaret R., Walsh, Megan E., Stuber, Matthew D., McDonald, Donald M., Yuan, Fan, Stylianopoulos, Triantafyllos, Jain, Rakesh K.

Source: Drug Delivery; Dec2024, Vol. 31 Issue 1, p1-8, 8p

Subject Terms: ACTIVE biological transport, BIOLOGICAL transport, TISSUE fixation (Histology), HYDRAULIC conductivity, LABORATORY mice

Combining microenvironment normalization strategies to improve cancer immunotherapy

Authors: Mpekris, Fotios, Voutouri, Chrysovalantis, Baish, James W., Duda, Dan G., Munn, Lance L., Stylianopoulos, Triantafyllos, Jain, Rakesh K.

Source: Proceedings of the National Academy of Sciences of the United States of America, 2020 Feb . 117(7), 3728-3737.

Access URL: https://www.jstor.org/stable/26929011

CCR2 inhibition reduces tumor myeloid cells and unmasks a checkpoint inhibitor effect to slow progression of resistant murine gliomas

Authors: Flores-Toro, Joseph A., Luo, Defang, Gopinath, Adithya, Sarkisian, Matthew R., Campbell, James J., Charo, Israel F., Singh, Rajinder, Schall, Thomas J., Datta, Meenal, Jain, Rakesh K., Mitchell, Duane A., Harrison, Jeffrey K.

Source: Proceedings of the National Academy of Sciences of the United States of America, 2020 Jan . 117(2), 1129-1138.

Access URL: https://www.jstor.org/stable/26896988

Vascular regulation of antitumor immunity

Authors: Munn, Lance L., Jain, Rakesh K.

Source: Science, 2019 Aug 01. 365(6453), 544-545.

Access URL: https://www.jstor.org/stable/26762387

Computational simulations of tumor growth and treatment response: Benefits of high-frequency, low-dose drug regimens and concurrent vascular normalization.

Authors: Nikmaneshi, Mohammad R.^1,2 (AUTHOR), Jain, Rakesh K.¹ (AUTHOR), Munn, Lance L.¹ (AUTHOR) munn@steele.mgh.harvard.edu

Source: PLoS Computational Biology. 6/8/2023, Vol. 19 Issue 6, p1-23. 23p. 5 Diagrams, 5 Graphs.

Subject Terms: *TUMOR growth, *TUMOR treatment, *NEOVASCULARIZATION, *EXTRACELLULAR fluid, *ANTINEOPLASTIC agents, *NEOVASCULARIZATION inhibitors, *CANCER invasiveness

Reprogramming the microenvironment with tumor-selective angiotensin blockers enhances cancer immunotherapy

Authors: Chauhan, Vikash P., Chen, Ivy X., Tong, Rong, Ng, Mei Rosa, Martin, John D., Naxerova, Kamila, Wu, Michelle W., Huang, Peigen, Boucher, Yves, Kohane, Daniel S., Langer, Robert, Jain, Rakesh K.

Source: Proceedings of the National Academy of Sciences of the United States of America, 2019 May . 116(22), 10674-10680.

Access URL: https://www.jstor.org/stable/26707130