Back

Hope for Others: Research Results from the University of Pittsburgh Rapid Autopsy Program for Breast Cancer

Chang, A. C.; Balic, M.; Bartholow, T.; Bhargava, R.; Brown, D. D.; Brown, L.; Brufsky, A.; Cao, Y.; Carleton, N.; Clark, A. M.; Cody, M.; Ding, K.; Deible, C.; Elangovan, A.; Foldi, J.; Geisler, D.; Hodgdon, C.; Howard, N.; Li, Z.; Liu, J. B.; Lopez-Nunez, O.; Mary, S. J.; McGinn, O.; Miller, L.; Mori, K.; Pecar, G.; Priedigkeit, N.; Puhalla, S.; Rosenzweig, M. Q.; Roy, P.; Savariau, L.; Walker, S.; Waltermire, H.; Wedn, A. M.; Wells, A.; Yates, M. E.; Xavier, J.; Lee, A. V.; Oesterreich, S.

2025-03-12 cancer biology
10.1101/2024.11.06.621982 bioRxiv
Show abstract

Breast cancer affects 1/8 of women throughout their lifetimes, with over 90% of cancer deaths being caused by metastasis. However, metastasis poses unique challenges to research, as complex changes in the microenvironment in different metastatic sites and difficulty obtaining tissue for study hinder the ability to examine in depth the changes that occur during metastasis. Rapid autopsy programs thus fill a unique need in advancing metastasis research. Here, we describe our protocol and processes for establishing and improving the US-based Hope for OTHERS (Our Tissue Helping Enhance Research and Science) program for organ donation in metastatic breast cancer. As of August 2024, we consented 114 patients and performed 37 autopsies, from which we collected 551 unique metastatic frozen tumor samples, 1244 FFPE blocks, 90 longitudinal liquid biopsy samples and developed 14 patient-derived organoid and 8 patient-derived xenograft models. We report in-depth clinical and histopathological information and discuss extensive new research and novel findings in patient outcomes, metastatic phylogeny, and factors in successful living model development. Our results reveal key logistical and protocol improvements that are uniquely beneficial to certain programs based on identifiable features, such as working closely with patient advocates, methods to rescue RNA quality in cases where tissue quality may degrade due to time delays, as well as guidelines and future expansions of our program. Statement of SignificanceRapid autopsy programs are unique research settings with huge potential for studying metastatic cancer, however, they have complex research challenges. Our work provides a valuable resource in advancing this field of research.

Matching journals

The top 9 journals account for 50% of the predicted probability mass.

1
Cancer Research Communications
51 papers in training set
Top 0.1%
15.3%
2
Nature Communications
5641 papers in training set
Top 20%
8.0%
3
npj Precision Oncology
53 papers in training set
Top 0.1%
6.8%
4
Breast Cancer Research
36 papers in training set
Top 0.2%
4.9%
5
Cell Reports Medicine
153 papers in training set
Top 0.6%
4.1%
6
The American Journal of Pathology
32 papers in training set
Top 0.1%
4.1%
7
PLOS ONE
5266 papers in training set
Top 37%
3.3%
8
Frontiers in Oncology
103 papers in training set
Top 1%
3.3%
9
npj Breast Cancer
23 papers in training set
Top 0.2%
3.3%
50% of probability mass above
10
eLife
5828 papers in training set
Top 40%
2.5%
11
Scientific Reports
3612 papers in training set
Top 43%
2.4%
12
Scientific Data
209 papers in training set
Top 1%
2.4%
13
Molecular Cancer Research
49 papers in training set
Top 0.5%
2.2%
14
Neoplasia
23 papers in training set
Top 0.3%
1.8%
15
Modern Pathology
22 papers in training set
Top 0.2%
1.7%
16
Cancers
213 papers in training set
Top 3%
1.5%
17
Cancer Research
130 papers in training set
Top 2%
1.4%
18
Genome Medicine
183 papers in training set
Top 4%
1.1%
19
Laboratory Investigation
13 papers in training set
Top 0.1%
1.1%
20
iScience
1154 papers in training set
Top 29%
1.1%
21
Disease Models & Mechanisms
119 papers in training set
Top 2%
1.0%
22
Nature Cancer
39 papers in training set
Top 1%
1.0%
23
Cancer Discovery
66 papers in training set
Top 2%
1.0%
24
Translational Oncology
21 papers in training set
Top 0.8%
0.9%
25
Journal of Translational Medicine
57 papers in training set
Top 2%
0.9%
26
Science Advances
1243 papers in training set
Top 29%
0.9%
27
eBioMedicine
183 papers in training set
Top 6%
0.9%
28
Communications Biology
993 papers in training set
Top 29%
0.9%
29
Cell Reports Methods
165 papers in training set
Top 4%
0.6%
30
Nature Medicine
125 papers in training set
Top 4%
0.6%