Not exact matches
Over the years, many different mathematical models of
tumor growth have been proposed, but
determining which is most accurate at predicting cancer
progression is a challenge.
The research could help
determine which individuals are at greatest risk of developing lung
tumors that may be amenable to a new therapy to inhibit their
progression.
In order to
determine whether reduced miR - 192 levels are only a chance side effect of cancer and inflammation or whether they in fact influence
tumor progression, the investigators equipped pancreatic cancer cells with additional miR - 192.
Inclusion Criteria: • Eastern Cooperative Oncology Group (ECOG) performance status of 0 or 1 • Have histologically or cytologically confirmed advanced or metastatic non-small cell lung cancer (NSCLC)(Stage IIIb or greater) • Measurable disease, as defined by Response Evaluation Criteria in Solid
Tumors (RECIST) 1.1 • Known PD - L1
tumor status as
determined by an immunohistochemistry (IHC) assay performed by the central laboratory on tissue obtained at Screening • A woman of childbearing potential must have a negative highly sensitive serum (beta - human chorionic gonadotropin [beta - hCG]-RRB- at Screening within 14 days prior to study drug administration Inclusion Criteria for Crossover: • Participants must have been randomized to Arm A of the study and had radiographic disease
progression according to RECIST 1.1 • Participants must have a mandatory biopsy at the time of disease
progression according to RECIST 1.1 prior to crossing over.
These findings reinforce many things that we already know: that mutations acquire gradually with age, that most of the mutations in AML (and likely other
tumors) are random background events not contributing to tumorigenesis, and that subsequent mutation and evolution can give rise to subclones that ultimately
determine cancer
progression and response to therapy.
Oncologists commonly use this imaging technique to help locate
tumors, establish the stage of those cancers»
progression, and
determine whether they have stopped growing in response to therapy or are relapsing or metastasizing.
Since completing the initial paper published Thursday, the team has analyzed 50 more samples from eye fluid of retinoblastoma patients, including those with less aggressive
tumors whose eyes were saved, to get a start on
determining what factors might be at play in
tumor progression.
The ongoing work of the research teams seek to define the interactions between the
tumor cells and their microenvironment that
determine which lineage predominates, and that provide a safe niche for
tumor growth and
progression.