ADD background on T cells at large

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Nathan Dwarshuis 2021-08-01 21:52:19 -04:00
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1 changed files with 78 additions and 8 deletions

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@ -61,6 +61,8 @@
\renewcommand{\glossarysection}[2][]{} % remove glossary title \renewcommand{\glossarysection}[2][]{} % remove glossary title
\makeglossaries \makeglossaries
\newacronym{til}{TIL}{tumor infiltrating lymphocyte}
\newacronym{tcr}{TCR}{T cell receptor}
\newacronym{act}{ACT}{adoptive cell therapies} \newacronym{act}{ACT}{adoptive cell therapies}
\newacronym{qc}{QC}{quality control} \newacronym{qc}{QC}{quality control}
\newacronym{tcm}{T\textsubscript{cm}}{central memory T cell} \newacronym{tcm}{T\textsubscript{cm}}{central memory T cell}
@ -76,6 +78,7 @@
\newacronym{gmp}{GMP}{Good Manufacturing Practices} \newacronym{gmp}{GMP}{Good Manufacturing Practices}
\newacronym{cho}{CHO}{Chinese hamster ovary} \newacronym{cho}{CHO}{Chinese hamster ovary}
\newacronym{all}{ALL}{acute lymphoblastic leukemia} \newacronym{all}{ALL}{acute lymphoblastic leukemia}
\newacronym{cll}{CLL}{chronic lymphoblastic leukemia}
\newacronym{pdms}{PDMS}{polydimethylsiloxane} \newacronym{pdms}{PDMS}{polydimethylsiloxane}
\newacronym{dc}{DC}{dendritic cell} \newacronym{dc}{DC}{dendritic cell}
\newacronym{il}{IL}{interleukin} \newacronym{il}{IL}{interleukin}
@ -113,7 +116,6 @@
\newacronym{bmi}{BMI}{body mass index} \newacronym{bmi}{BMI}{body mass index}
\newacronym{a2b1}{A2B1}{integrin $\upalpha$1$\upbeta$1} \newacronym{a2b1}{A2B1}{integrin $\upalpha$1$\upbeta$1}
\newacronym{a2b2}{A2B2}{integrin $\upalpha$1$\upbeta$2} \newacronym{a2b2}{A2B2}{integrin $\upalpha$1$\upbeta$2}
\newacronym{til}{TIL}{tumor infiltrating lymphocytes}
\newacronym{nsg}{NSG}{NOD scid gamma} \newacronym{nsg}{NSG}{NOD scid gamma}
\newacronym{colb}{COL-B}{collagenase B} \newacronym{colb}{COL-B}{collagenase B}
\newacronym{cold}{COL-D}{collagenase D} \newacronym{cold}{COL-D}{collagenase D}
@ -631,15 +633,75 @@ However, the characteristic shared by all the cell types in this application is
the fact that they are adherent. In this work, we explore the use of the fact that they are adherent. In this work, we explore the use of
microcarrier for T cells, which are naturally non-adherent. microcarrier for T cells, which are naturally non-adherent.
\subsection{overview of T cells in immunotherapies}
% all numbers reflect the citation index in my review paper
One of the first successful T cell-based immunotherapies against cancer is
\glspl{til} [78]. This method works by taking tumor specimens from a patient,
allowing the tumor-reactive lymphocytes to expand \exvivo{}, and then
administered back to the patient along with a high dose of \il{2} [44]. In
particular, \gls{til} therapy has shown robust results in treating melanoma [1],
although \gls{til} have been found in other solid tumors such as
gastointestinal, cervical, lung, and ovarian [78-83], and their presence is
generally associate with favorable outcomes [84]. \glspl{til} are heterogenous
cell mixtures and generally are comprised of CD3 T cells and $\upgamma\updelta$
T cells [85, 86]. To date, there are over 250 open clinical trials using
\glspl{til}.
Besides \gls{til}, the other broad class of T cell immunotherapies that has
achieved great success in treating cancer in recent decades are gene-modified T
cells. Rather than expand T cells that are present natively (as is the case with
\gls{til} therapy), gene-modified T cell therapies entail extracting T cells
from either the cancer patient (autologous) or a healthy donor (allogeneic) and
reprogramming them genetically to target a tumor antigen. In theory this offers
much more flexibility.
T cells with transduced \glspl{tcr} were first designed to overcome the
limitations of \gls{til} [78,79]. In this case, T cells are transduced \exvivo{}
with a lentiviral vector to express a \gls{tcr} targeting a tumor antigen. T
cells transduced with \glspl{tcr} against MART-1 have shown robust results in
melanoma patients [9], and analogous therapies targeted toward MY-ESO-1 have
shown robust results against synovial sarcoma [10]. To date, there are over 200
clinical trials using T cells with transduced \glspl{tcr}.
While transduced \glspl{tcr} offer some flexibility in retargeting T cells
toward relevant tumor antigens, they are still limited in that they can only
target antigens that are presented via \gls{mhc} complexes. \gls{car} T cells
overcome this limitation by using a the heavy and light chains (scFv) from a
\gls{mab} which can target any antigen recognizable by antibodies. \gls{car} T
cells were first demonstrated in 1989, where the author swapped the
antigen-recognition domains of a native \gls{tcr} with a that of a foreign
\gls{tcr} [91]. Since then, this method has progressed to using an scFv with a
CD3$\upzeta$ stimulatory domain along with the CD28, OX-40, or 4-1BB domains for
costimulation. Since these can all be expressed with one protein sequence,
\gls{car} T cells are relatively simple to produce and require only a single
genetic transduction step (usually a lentiviral vector) to reprogram a batch T
cells \exvivo{} toward the desired antigen. \gls{car} T cells have primarily
found success in against CD19- and CD20-expressing tumors such as \gls{all} and
\gls{cll} (eg B-cell malignancies).
% BACKGROUND where else have they been approved?
Out of all the T cell therapies discussed thus far, \gls{car} T cells have
experienced the most commercial success and excitement. In 2017, Novartis and
Kite Pharma acquired FDA approval for \textit{Kymriah} and \textit{Yescarta}
respectively, both of which are \gls{car} T cell therapies against B-cell
malignancies.
% BACKGROUND beef this up, this is a big deal
\gls{car} T cells are under further exploration for use in many other tumors,
including multiple myeloma, mesothelioma, pancreatic cancer, glioblastoma,
neuroblastoma, and prostate cancer, breast cancer, non-small-cell lung cancer,
and others [78,79,94,95]. To date, there are almost 1000 clinical trials using
\gls{car} T cells.
% TODO there are other T cells like virus-specific T cells and gd T cells, not
% that they matter...
\subsection*{current T cell manufacturing technologies} \subsection*{current T cell manufacturing technologies}
\Gls{car} T cell therapy has received great interest from both academia and Despite these success of T cell therapies (especially \gls{car} T cell
industry due to its potential to treat cancer and other therapies) they are constrained by an expensive and difficult-to-scale
diseases\cite{Fesnak2016, Rosenberg2015}. In 2017, Novartis and Kite Pharma manufacturing process\cite{Roddie2019, Dwarshuis2017}.
acquired FDA approval for \textit{Kymriah} and \textit{Yescarta} respectively,
two \gls{car} T cell therapies against B cell malignancies. Despite these
successes, \gls{car} T cell therapies are constrained by an expensive and
difficult-to-scale manufacturing process\cite{Roddie2019, Dwarshuis2017}.
Of critical concern, state-of-the-art manufacturing techniques focus only on Of critical concern, state-of-the-art manufacturing techniques focus only on
Signal 1 and Signal 2-based activation via \acd{3} and \acd{28} \glspl{mab}, Signal 1 and Signal 2-based activation via \acd{3} and \acd{28} \glspl{mab},
@ -683,6 +745,14 @@ cytokine release properties and ability to resist exhaustion\cite{Wang2018,
Yang2017}, and no method exists to preferentially expand the CD4 population Yang2017}, and no method exists to preferentially expand the CD4 population
compared to state-of-the-art systems. compared to state-of-the-art systems.
\subsection{methods to scale T cells}
\subsection{overview of T cell quality}
% memory
% CD4
% viability
\subsection*{integrins and T cell signaling} \subsection*{integrins and T cell signaling}
Because the microcarriers used in this work are derived from collagen, one key Because the microcarriers used in this work are derived from collagen, one key